Generation Z (Gen Z) is widely considered the first cohort to come of age entirely in the epoch of generative artificial intelligence (AI). There is no universally agreed-upon definition of the age range for Gen Z. Australia’s McCrindle Research uses those born between 1995 and 2009 to address Gen Z; McKinsey & Company defines Gen Z as those born between 1996 and 2010; Pew Research Centre refers to Gen Z as those born between 1997 and 2012. While Gen Z are the most active adopters of generative AI, existing scholarship argues that adoption has outpaced institutional preparation and service delivery. An influx of press and social media articles and videos addressing how the labour market entry points Gen Z expected upon university graduation are vanishing, and their mental health, which was already deteriorated in the midst of the social media age, has compounded alongside an explosion in algorithmically mediated social life.

This analysis synthesises data-driven and peer-reviewed sources—large-scale surveys, payroll data, and experimental studies—to examine how Gen Z are experiencing the AI transition across three domains: (1) education, (2) social life and well-being, and (3) the labour market. The analysis is designed to allow for enriching the understanding among professional AI and social science researchers, as well as the general public.

In today’s landscape, we witness an unbalanced relationship between AI adoption and literacy. In the US, 79% of Gen Z have used AI tools, but only 28% of K-12 students attend schools with explicit AI policies. Students whose schools allow AI are 25 percentage points more likely to feel prepared to use it after graduation (57% vs. 32%). Such a gap is largest for students in low-income and rural communities.

Also, Gen Z well-being is deteriorating. Only 45% of Gen Z are thriving in 2025—reaching a three-year low, down from 49% in 2024. Among Gen Z women, the thriving rate fell from 46% to 37% between 2024 and 2025. Additionally, UK Gen Z report that social media negatively affects their self-esteem and discourages them from building healthy self-relationships. 

In addition, we address the unemployment-induced anxiety, where the number of available entry-level job postings requiring 0-2 years of experience has been cut by 29 percentage points since January 2024. Researchers from the Stanford Digital Economy Lab, using Automatic Data Processing (ADP) payroll records covering millions of US workers, find a 16% relative employment decline for ages 22–25 in AI-exposed occupations, when comparing with their older counterparts.

Therefore, we witness cross-domain impacts on Gen Z induced by AI advancement. This analysis dissects the nuances in each domain with supporting data, so as to present how the behaviours and encounters of such a highly AI-adopted generation have changed, relative to their older counterparts.

1. AI in Education

1.1 AI Adoption Rates Across Generations

Like during the age of social media and digitalisation, today’s Gen Z has actively and willingly incorporated AI into both learning and non-educational activities. According to a Gallup survey (2025) commissioned by the Walton Family Foundation (WFF) (n = 3,465), we see that 79% of Gen Z in the US have used AI tools, and 47% do so at least on a weekly basis. In another report published by Pew Research Centre (2026) (n = 1,458; US teens aged 13 – 17), 57% of respondents have used chatbots to search for information, 54% to help with schoolwork and 47% for entertainment purposes. For these US teens, one in 10 now does all or most of their schoolwork with AI assistance. AI adoption has become widely popularised among Gen Z. For those adopting AI in educational settings, there are concerns about overreliance and subsequent barriers to independent and critical thinking development. For those who lack access to AI tools, such a circumstance deepens the ongoing sociological discourse on whether AI technology accelerates the entrenched digital inequality, partly inflicted by socio-economic factors.

SurveyMonkey disseminated the outputs of a study of 25,030 US adults in 2025. Their team carried out an AI sentiment study between October and December of 2024 among 25,030 US adults. The survey outputs were weighted to reflect the US demographic composition. They found that 61% of Gen Z use AI for education, relative to 53% of Gen X and 50% of millennials, who primarily use AI for workplace responsibilities. While the data support our argument that Gen Z is the quickest and most willing AI adopters, Gen X and millennials, especially those who are active in the labour market, are not far behind. Instead, half or more of US adults, across all three generations, have used AI for their educational or professional tasks.

Table 1 summarises the AI use rates by generation, with data extracted from major survey reports. While as many as 79% of Gen Z have ever used AI tools, only 47% reported that they use them on a weekly or daily basis. This tells that 32% of Gen Z have either tried using AI tools out of curiosity or decided not to highly adopt AI use in their tasks, so they are not frequent AI users. Another valuable insight is that 75% of Gen Z reported that they use AI to upskill, relative to 71%, 56% and 49% for millennials, Gen X and Boomers, respectively. Such figures inform that the majority of older generations (more than half of millennials and Gen X, and almost half of Boomers) are willing to use AI for upskilling. Such a trend indicates that the majority of the older generations are actively reskilling themselves to incorporate AI technology into their professional or everyday tasks, signalling that their skillsets should remain relevant in the labour market despite the rapid AI disruption.

Table 1: AI Use Rates by Generation — Key Figures from Major Surveys

Source: Gallup / WFF (2025) | SurveyMonkey (2025) | Randstad (2025) | Deloitte (2025)

1.2 The Lack of Institutional AI Readiness

While AI usage is high across generations, especially among Gen Z, it is necessary to understand whether there are available and sufficient institutional policies to support the young generation’s AI adoption in educational settings. The Gallup survey (2025) shows that only 28% of K-12 students in the US claimed that their schools explicitly allow the use of AI, and nearly half (i.e., 49%) reported that their schools have no policies on AI use or they are not sure of any presence of relevant policies. Among students whose schools have available AI policies, only about one-third (i.e. 36%) describe those policies as extremely clearly outlined.

Further data suggest how the AI readiness level affects students’ post-schooling outcomes. The Gallup survey (2025) indicates that students in schools with AI policies are 25 percentage points more likely to feel prepared to use AI after graduation (57% vs. 32%). Another recent study (2025) commissioned by Heartland Forward, Gallup and the WFF surveyed 1,474 Gen Z in 20 US heartland states. The study found that only 10% of K-12 students said their teachers have helped prepare them to use AI in future jobs, and as low as 9% of working Gen Z feel extremely prepared to use AI at work. Furthermore, schools in low-income areas are significantly less likely to have AI policies permitting its use. Such a report reveals the equity gap in AI-impacted K-12 education in the US.

Table 2: The Preparation Gap—AI Policy Presence and Student Readiness

Source: Gallup / WFF (2025) | Heartland Forward / Gallup / WFF (2025)

1.3 Gen Z Students vs. Gen X/Y Teachers: Attitudes on the Use of AI

AI disruption is not restricted to the US or the West at large. Gen Z students in many high-income economies are affected by AI advancement in educational settings. Chan & Lee (2023) conducted a survey with 399 Gen Z students and 184 Gen X or Gen Y (meaning millennial) teachers at the University of Hong Kong on their experiences, perceptions and concerns about generative AI in higher education. Diagram 1 highlights the key findings in mean agreement scores that follow a five-point Likert scale on each statement. The value of one represents strongly disagree, and the value of five means strongly agree. All findings reported in Diagram 1 have p-values lower than 0.05. The data reveal an insightful generational divide. We can see that Gen Z respondents have higher mean scores than their Gen X/Y teachers on all positive statements about the use of AI, while the former have lower mean scores, relative to the latter, on all negative statements about using AI. The results show that Gen Z students are more optimistic, and enjoy more perceived benefits, from the use of AI than their teachers. Of course, the societal roles for both survey cohorts are different: one group represents the students in higher education, and the other belongs to their teachers. Perhaps Gen X/Y respondents share more concerns about the use of AI not because of generational factors but because of their societal role (as teachers/educators) in the higher education settings.

Diagram 1: Gen Z Students vs. Gen X/Y Teachers—Mean Agreement Scores on Key AI Attitudes (Chan & Lee, 2023)

Source: Chan & Lee (2023)—“The AI Generation Gap” (Smart Learning Environments, Springer / arXiv:2305.02878). n=399 Gen Z students, n=184 Gen X/Y teachers, University of Hong Kong. Mean scores on 5-point Likert scale (1=Strongly Disagree, 5=Strongly Agree). All items p <.05.

1.4 Academic Integrity

Another widely discussed issue in the intersection between AI and social science is whether and how AI disrupts academic integrity. Academic and research integrity have been the core foundation of ethics in educational settings. Given the extensive reporting on AI-induced hallucinations, for example, academic and research integrity might be significantly challenged without appropriate policy interventions. Table 3 summarises major recent studies on AI influence on academic integrity, including the key findings and the corresponding policy implications. In a report released by the publishing firm Wiley (Coffey, 2024), over 2,000 students and instructors were surveyed. Findings suggest that 47% of students say AI has made cheating easier, and 68% of instructors anticipate a negative impact from the use of AI on academic integrity. Comparatively, Lee et al. (2024) conducted a survey around November 2022 and found that high school cheating rates before and after the introduction of ChatGPT remained broadly stable. It is noteworthy that Lee et al.’s (2024) study focused on data collected around the time when ChatGPT was first publicly introduced. It is reasonable that high school students did not experience higher academic cheating rates upon the arrival of generative AI, because such an AI chatbot was not capable and functional enough to encourage academically dishonest behaviours. However, as indicated in the aforementioned report released by Wiley (Coffey, 2024), as AI tools have become far more capable over the years, cheating behaviours have been encouraged, and academic integrity has been at stake to a certain degree.

It is noteworthy that Bittle & El-Gayar (2025) carried out a systematic review of 41 studies and found that peer influence and personal ethics shape AI misuse more than institutional policies. Such an understanding reinforces the argument that heavy-handed AI bans may be less effective than co-shaping the development of AI literacy with honesty and values concentration between educators, scholars and policymakers.

Table 3: Academic Integrity — Key Evidence Summary

Source: Coffey (2024) | Bittle & El-Gayar (2025) | Lee et al. (2024) | Mcclain et al. (2026)

2. AI, Social Media, and Well-being

2.1 The Well-being Crisis

Other than academic behaviours and integrity, Gen Z’s social media dynamics and personal well-being are worth discussing. First, this section, in addition to AI, includes the investigation of social media dynamics because nowadays social media is heavily AI-integrated, and both social media and AI are known as the most revolutionary digital technologies affecting the Gen Z population. Second, extensive studies address that mental health and well-being are a priority for Gen Z. Therefore, this section discusses the intersection between AI, social media and well-being among this generation.

Gen Z well-being, according to publicly available data, is declining. The aforementioned Gallup survey (2025) reveals that only 45% of Gen Z are thriving per Gallup’s Life Evaluation Index—which was the lowest between 2023 and 2025 of the study. Table 4 highlights the thriving rates of Gen Z. The largest decline can be seen among Gen Z women, whose thriving rates dropped from 46% in 2024 to 37% in 2025. Comparatively, Gen Z men’s thriving rates remain relatively stable (44% in 2024 vs. 45% in 2025). The survey further indicates that Gen Z adults are about 10 percentage points less likely to be thriving than older generations.

Table 4: Gen Z Thriving Rates—Three-Year Decline

Source: Gallup / WFF (2025)

2.2 Social Media and Body Image

The Cybersmile Foundation carried out a national UK study examining the impact of social media use on Gen Z well-being. They surveyed 1,000 UK participants aged between 16 and 24. Their data suggest that social media has negative impacts on Gen Z. Diagram 2 extracts and highlights some key statistics indicating social media impact on Gen Z well-being. The findings, for example, show that 82% of respondents said social media negatively affected how they feel about their own bodies. 83% said content on social media made them feel pressured to be perfect. Also, 48% said their sleep had been negatively impacted by time spent online. There were, moreover, 38% who said social media made them want to permanently change a part of their body through surgery. Such a figure rose to 51% when we focus on female respondents. These survey outputs imply that social media causes Gen Z not to be able to develop healthy self-relationships, and their self-esteem and behavioural well-being are jeopardised.

Shehab et al. (2025) synthesise existing research and document that depression, anxiety and insomnia are among the most robustly evidenced harms for Gen Z inflicted by the addiction to Instagram and TikTok. In addition, the Gallup survey (2025) data shows that 41% of Gen Z have anxiety about AI specifically, compared to 36% who feel excited and 27% who feel hopeful. Additional data unveils that 49% of Gen Z believe AI will harm their critical thinking skills, which can lead to broader anxiety about dependency and cognitive overload in a way similar to how social media has affected this generation.

Diagram 2: Social Media Impact on Gen Z Well-being

Source: Digital Wellbeing (2025). n=1,000 UK participants aged 16–24.

3: Gen Z and the AI-Disrupted Labour Market

3.1 The Entry-Level Collapse

As of writing this analysis, AI disruption in the labour market is notable and expanding. Mass unemployment, especially youth unemployment, has been widely reported internationally. In Randstad’s latest report, entitled “The Gen Z Workplace Blueprint: Future Focused, Fast Moving”, findings from job posting analysis of 11,250 global workers and 126 million job postings show that global postings for roles requiring 0-2 years of experience (meaning entry-level jobs) have fallen by an average of 29 percentage points since January 2024. The collapse of the entry-level job market is more salient in several positions, such as junior technology roles (down by 35%), logistics (down by 25%) and finance (down by 24%) (See Table 5).

Brynjolfsson et al. (2025) from the Stanford Digital Economy Lab analysed ADP payroll records covering millions of US workers. They found that early-career workers (aged 22 to 25) in AI-exposed occupations experienced 16% relative employment declines, controlling for firm-level shocks, while employment for experienced workers remained stable. The labour market adjustments occur primarily via employment rather than compensation, with employment changes concentrated in occupations where AI automates rather than augments labour (such as software development, customer service and clerical work).

Table 5: Entry-Level Job Posting Declines by Sector

Source: Randstad (2025) | (Brynjolfsson et al., 2025)

3.2 Gen Z Career Strategy in Response to AI Disruption

From the same Randstad report, we can see that Gen Z is actively adapting to the AI-induced changes in the labour market by altering their career behaviours and decisions. Table 6 presents Gen Z’s career behaviours and decisions for AI adoption, relative to those from older generations. As discussed in Table 1, 75% of Gen Z use AI to learn new skills. In addition, from Table 6, 55%, 50% and 46% (up from 40% in 2024) use AI for professional problem-solving, use AI for job search and are worried about AI impact on their occupational opportunities, respectively. Their AI-induced career behavioural adjustments not only imply that they are active and willing AI adopters, but also reflect the circumstance that this generation is mostly impacted by AI disruption in the labour market due to the loss of entry-level jobs.

Table 6: AI Adoption in the Workplace—Gen Z Relative to Older Generations 

Source: Randstad (2025)

3.3 Shortened Job Tenure for Gen Z

Although media portrayals and general perceptions claim that Gen Z, unlike older generations, lack loyalty to an organisation due to laziness and low resilience, the Randstad report might suggest otherwise. Table 7 presents the job tenure and employment structure by generation. When comparing the first five years of career (instead of the current tenure), we can see that the average job tenure for Gen Z is 1.1 years, relative to 1.8 years for millennials, 2.8 years for Gen X and 2.9 years for Boomers. Here, we see the generational shift where early career job-taking patterns have constantly changed over the last few decades. There are almost half (45%) of Gen Z who are currently working full-time, and 52% are actively looking for a new role. While we cannot tell how many of those 52% who actively seek new roles already have a full-time position, at least the figures suggest that the majority of Gen Z choose to stay active in the labour market (either by finding jobs or already working full-time). Such figures dismiss the general perception that Gen Z are lazy to a certain degree. In fact, the change of the labour market structure, especially the AI disruption that causes the loss of entry-level jobs, may explain why staying active professionally nowadays seems far harder than that of previous generations. The data, moreover, shows that only 11% of Gen Z plan to stay in their current job long term. While this figure ostensibly shows that Gen Z has little loyalty to an organisation or workplace, in fact, the lack of available full-time entry-level positions might justify why many Gen Z members do not want to stay in their current job long term. This is because many might be working part-time or on a freelance and ad hoc basis. Therefore, staying in the current job does not offer any promising career path or financial security for Gen Z to display their loyalty at work.

Table 7: Job Tenure and Employment Structure by Generation

Source: Randstad (2025). Comparison figures reflect the same career stage (first 5 years), not current tenure.

4. Summary and Implications

We can see substantial behavioural changes between Gen Z and their older counterparts. This analysis finds that Gen Z is adapting to AI faster than institutional responses. Their well-being is constantly being jeopardised, caused by both the popularisation of AI and social media. Also, this generation is most vulnerable to AI-induced economic risks, since the labour market disruption mostly erases entry-level job opportunities.

In education, this analysis identifies a policy gap in institutional readiness, which lags AI adoption by a wide margin. Furthermore, the need for AI adoption in educational settings is compounding spatial and socio-economic inequalities. Regarding their well-being, this analysis shows that AI is disrupting rather than enriching Gen Z’s social and mental health. While there is research-based evidence identifying how (AI-integrated) social media are harming this generation, corresponding regulatory responses remain fragmented and not sufficiently effective. In the labour market, although Gen Z actively use AI for upskilling, they are the cohort whose job opportunities are technologically disrupted the most. There is a lack of policy responses on formal AI training access for the young generations, including Gen Z. Even if some jurisdictions may deliver policy responses on formalising AI training and upskilling opportunities for students, there remains an absence of any clear solution on how Gen Z, once sufficiently upskilled, can gain access to entry-level job opportunities.

Cite This

Hung, J. (2025). Gen Z and AI: Education, Well-Being and the Labour Market. AI in Society. https://aiinsocietyhub.com/articles/gen-z-and-ai-education-well-being-and-the-labour-market

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  • AI-4AI Academic Research Fellow

    Organization: AI-4AI

    Location: Africa

    Region: Others

    Type: Remote

    Category: Fellowship

    Posted: Jul 24, 2026

    This six-month cohort-based program prepares African researchers for graduate study and academic publication in AI-related fields. Fellows receive mentorship in research design and academic writing to produce tangible outputs such as research proposals and draft papers.

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  • Project Incubatee

    Organization: Sentient Futures

    Location: Remote

    Region: Remote

    Type: Remote

    Category: Fellowship

    Posted: Jul 24, 2026

    Project Incubator is a 10-week remote program pairing fellows with mentors to work on projects focused on animal welfare, artificial minds, and AI governance. Participants develop standalone outputs while exploring frontier problems and widening the moral circle to include future sentient beings.

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  • Fellow – AI native Systems & Infrastructure

    Organization: SucSEED Ventures

    Location: Hyderabad, India

    Region: Asia

    Type: On-site

    Category: Fellowship

    Posted: Jul 18, 2026

    The Management Fellowship is a structured 12-month program designed to develop future investment professionals through hands-on exposure to the venture capital lifecycle. Fellows will focus on research, deal discovery, and portfolio management within the sectors of Applied AI, Agentic AI technology stacks, and hardware infrastructure.

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  • CBAI Fall Research Fellow (in AI Safety ‘26)

    Organization: Cambridge Boston Alignment Initiative

    Location: Cambridge, MA

    Region: US/Canada

    Type: On-site

    Category: Fellowship

    Posted: Jul 18, 2026

    This intensive, fully-funded nine-week research program is designed to support talented researchers aiming to advance their careers in AI safety technical and governance domains. Fellows work closely with established mentors from institutions like Harvard and MIT while receiving a stipend, housing, and compute support.

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  • Grantee - Building Narrative Power programme

    Organization: European AI and Society Fund

    Location: Europe except UK and the Western Balkans

    Region: EU

    Type: Remote

    Category: Funding

    Posted: Jul 17, 2026

    For too long the Big Tech industry has dominated our understanding of Artificial Intelligence. To counter this, the European AI and Society Fund is launching the Building Narrative Power programme to help people and communities shape new ways of thinking and talking about the technology we want.

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  • UNU Visiting Research Fellow

    Organization: United Nations University

    Location: Macau SAR, Macao

    Region: Asia

    Type: On-site

    Category: Fellowship

    Posted: Jul 15, 2026

    This program offers short-term, in-residence fellowships for researchers to conduct policy-oriented research on digital emerging technologies for sustainable development. Fellows contribute to the United Nations framework by bridging the gap between technological innovation and advanced decision-making tools for the SDGs.

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  • Digital Peacebuilding Associate

    Organization: Build Up ^

    Location: Global

    Region: Remote

    Type: Remote

    Category: Full-time

    Posted: Jul 14, 2026

    The Associate will support processes that strengthen the capacity of peacebuilding organizations and local actors to meaningfully integrate technology into their work; contribute to evidence generation and learning related to digital harms and conflict; accompany partners and alliances in designing and implementing context-appropriate interventions; and contribute to the development of approaches, tools, and practices that support peacebuilding in the digital age.

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  • Iliad Fellow

    Organization: Iliad

    Location: London

    Region: UK

    Type: On-site

    Category: Fellowship

    Posted: Jul 12, 2026

    This three-month program focuses on mathematical approaches to AI alignment, targeting PhD and postdoctoral researchers in mathematics or physics. Fellows work alongside established mentors at the London Initiative for Safe AI to develop comprehensive research proposals for future funding.

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  • Grantee - Inclusive AI Innovations in Africa

    Organization: Hub for Artificial Intelligence and Disability Inclusion (HAIDI)

    Location: Africa

    Region: Others

    Type: Remote

    Category: Funding

    Posted: Jul 8, 2026

    The HAIDI Innovation Track provides catalytic support and grants of up to KES 5,000,000 to scale responsible AI solutions for disability inclusion. This 18-month programme offers technical assistance, user testing, and access to strategic networks for post-MVP innovations across the African continent.

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  • PIBBSS Fellow

    Organization: Principles of Intelligence (PIBBSS)

    Location: Cape Town, South Africa

    Region: Remote, Others

    Type: On-site

    Category: Fellowship

    Posted: Jul 3, 2026

    The PIBBSS Fellowship is a three-month interdisciplinary program that connects researchers from diverse fields with AI safety mentors to work on specialized research projects. Selected fellows receive a monthly stipend and accommodation while engaging in retreats, reading groups, and full-time research aimed at transitioning into the AI safety field.

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  • Grantee - Investing in Multi-Agent AI Safety Research

    Organization: Google DeepMind

    Location: Global

    Region: US/Canada, UK, EU, Asia, Australia, Remote, Others

    Type: Remote

    Category: Funding

    Posted: Jul 3, 2026

    This funding call supports multi-agent safety research to ensure secure interactions between evolving AI systems. The initiative is a collaborative effort between Google DeepMind and various partners (including Schmidt Sciences) to address proactive security threats.

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  • Grantee - GDPC Spotlight Research Grants

    Organization: Global Disaster Preparedness Center (GDPC)

    Location: Low- and middle-income countries

    Region: EU, Asia, Others

    Type: Remote

    Category: Funding

    Posted: Jun 27, 2026

    This Global Disaster Preparedness Center (GDPC) Spotlight Research Grants initiative provides grants for original research on the ethical and responsible application of technology, including artificial intelligence, in humanitarian contexts. It specifically targets university researchers from low- and middle-income countries to inform policy and humanitarian programming.

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  • Technical Alignment Research Accelerator (TARA 2026) – Round 2

    Organization: Technical Alignment Research Accelerator (TARA)

    Location: Melbourne, Sydney, Brisbane, Manila, Tokyo, Singapore

    Region: Asia, Australia

    Type: On-site

    Category: Training

    Posted: Jun 26, 2026

    TARA is a 14-week part-time program that builds technical AI safety skills through the ARENA curriculum and collaborative pair programming. Participants implement core machine learning algorithms from scratch and complete a three-week research project with expert guidance.

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  • Singapore AI Safety Fellow

    Organization: SASH (Singapore AI Safety Hub)

    Location: Singapore

    Region: Asia

    Type: On-site

    Category: Fellowship

    Posted: Jun 24, 2026

    The Singapore AI Safety Fellowship is an independent three-month research program that connects fellows with leading mentors to address technical AI safety and governance challenges. Fellows conduct research in Singapore to build skills and relationships necessary for international coordination and real-world policy application.

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  • Post-Doctoral Fellow

    Organization: Data & Society

    Location: United States

    Region: US/Canada

    Type: Remote

    Category: Fellowship

    Posted: Jun 19, 2026

    This role on AI-Enabled Scams as a Systemic Security Challenge involves conducting research on AI-enabled scams as a systemic security challenge within a collaborative, public interest-focused environment. Candidates must be authorized to work and live in the United States while contributing to the organization's policy and research goals.

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  • Perplexity Research Resident

    Organization: Perplexity

    Location: San Francisco, CA and Palo Alto, CA

    Region: US/Canada

    Type: On-site

    Category: Fellowship

    Posted: Jun 19, 2026

    Perplexity Research Residency welcomes exceptional researchers, engineers, and analysts from any discipline to help advance the impact of AI research.

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  • AI Explorer

    Organization: Artificial Intelligence Lab, University of Michigan

    Location: Remote

    Region: Remote

    Type: Remote

    Category: Training

    Posted: Jun 16, 2026

    The AI Explorers Program is an international research and mentorship program dedicated to helping talented pre-doctoral students develop the skills, experience, and scholarly profile required to gain admission to top-tier PhD programs across the world.

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  • Law and AI Academic Fellow

    Organization: Institute for Law & AI

    Location: Washington, DC, Cambridge, UK, Remote

    Region: US/Canada, UK, Remote

    Type: Hybrid

    Category: Fellowship

    Posted: Jun 16, 2026

    This two-year fellowship is designed for aspiring legal scholars to produce high-quality scholarship on the law of transformative artificial intelligence. The program aims to prepare candidates for the US legal academic job market through research, publication in law journals, and mentorship from a network of affiliated academics.

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  • AI Policy Career Accelerator

    Organization: Horizon Institute for Public Service

    Location: Remote

    Region: Remote

    Type: Remote

    Category: Training

    Posted: Jun 13, 2026

    The Career Accelerator is a nine-month part-time program designed to help individuals at any career stage launch or pivot into AI policy careers. Participants receive personalized 1-on-1 mentorship, dedicated policy training, and access to career development funding of up to $100,000.

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  • Residential Accelerator

    Organization: FRAME

    Location: San Francisco, CA

    Region: US/Canada

    Type: On-site

    Category: Fellowship

    Posted: Jun 13, 2026

    The FRAME Fellowship provides specialized training and support for individuals dedicated to advancing animal-free research methods. Participants engage in professional development to promote human-relevant science and reduce reliance on animal testing.

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  • Emerging Voices in AI and Society Fellow

    Organization: Center for Humane Technology (CHT)

    Location: Remote

    Region: Remote

    Type: Remote

    Category: Fellowship

    Posted: Jun 13, 2026

    This six-month fellowship program invites specialists to explore critical intersections between artificial intelligence and society across focus areas like cognition and relationships. Fellows will receive a $30,000 stipend to contribute interdisciplinary perspectives and develop solutions that align technology with humanity's best interests.

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  • Hannah Arendt Fellow

    Organization: Niedersächsische Akademie der Wissenschaften zu Göttingen (NAWG)

    Location: Göttingen, Germany

    Region: EU

    Type: On-site

    Category: Others

    Posted: Jun 7, 2026

    The Hannah Arendt Fellowships offer outstanding international scholars the opportunity to pursue independent research on the topic "Humans and AI" for up to six months in Lower Saxony (Germany) during the summer semester 2027 (April–September).

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  • Youth for Responsible AI Participant

    Organization: Rule26 AI

    Location: Global

    Region: Remote

    Type: Remote

    Category: Fellowship

    Posted: Jun 7, 2026

    Youth for Responsible AI is a 12-week global program where students and young people build real knowledge and portfolios in AI tracks like policy, content, or tech. Fellows commit 5–7 hours per week to participate in a LinkedIn-verified role focused on shaping how artificial intelligence is developed and governed.

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  • Foresight Fellow

    Organization: Foresight Institute

    Location: San Francisco, CA and Berlin, Germany

    Region: US/Canada, EU

    Type: Hybrid

    Category: Fellowship

    Posted: Jun 6, 2026

    The Foresight Fellowship is a year-long program supporting early-career scientists, engineers, and innovators across focus areas like Secure AI, Longevity, and Nanotechnology. Fellows receive mentorship from senior researchers, travel to technical workshops, and access to a global network of funders and experts.

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  • Grantee - Promoting AI Research (Summer 2026)

    Organization: Artificial Intelligence Journal (AIJ)

    Location: Global

    Region: Others

    Type: Remote

    Category: Funding

    Posted: Jun 6, 2026

    The Artificial Intelligence Journal provides substantial financial support to promote and disseminate AI research through competitive open calls. Funds are primarily allocated for the sponsorship of research activities, conferences, and studentships within the international AI community.

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  • Member of Technical Staff

    Organization: Geodesic Research

    Location: Cambridge, UK

    Region: UK

    Type: On-site

    Category: Full-time

    Posted: Jun 3, 2026

    Geodesic Research is a technical AI safety organization that focuses on alignment pretraining and midtraining interventions to ensure model safety persists through reinforcement learning. They develop data-centric methods like document mixing and declarative midtraining to create robust model initializations for frontier labs.

    View Opportunity

  • Frontier Biodefense Fellow

    Organization: Pivotal

    Location: London, UK

    Region: UK

    Type: On-site

    Category: Fellowship

    Posted: May 31, 2026

    The Frontier Biodefense Fellowship is a 9-week intensive program focused on high-impact projects in biosecurity, including PPE, detection, and transmission suppression. Fellows receive expert mentorship, a financial stipend, and workspace support to produce research papers or policy reports.

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  • AI Accountability Fellow

    Organization: Pulitzer Center

    Location: Global

    Region: Remote

    Type: Remote

    Category: Fellowship

    Posted: May 28, 2026

    The AI Accountability Fellowships support journalists conducting in-depth investigations into how governments and corporations use predictive, generative, and surveillance technologies. Fellows examine the impact of these AI systems on critical sectors such as policing, medicine, social welfare, criminal justice, and hiring.

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  • FDE Fellow

    Organization: a16z Build

    Location: San Francisco, CA

    Region: US/Canada

    Type: On-site

    Category: Fellowship

    Posted: May 28, 2026

    An 8-week program for frontline Forward Deployed Engineers and AI division leaders focused on technical depth and product intuition. Fellows engage in curated dinners and events with industry leaders from companies like Cursor, Google, and OpenAI.

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  • BASE Research Fellowship Mentor

    Organization: BASE

    Location: Global

    Region: Remote

    Type: Remote

    Category: Fellowship

    Posted: May 28, 2026

    The BASE Fellowship builds a pipeline of Black talent in AI alignment, governance, and security to reduce catastrophic risks. Participants receive training and support to shape the development of safe and equitable AI systems.

    View Opportunity

  • Grantee - Fast Grant

    Organization: Biswas Family Foundation

    Location: Global

    Region: US/Canada, UK, EU, Asia, Australia, Others

    Type: Remote

    Category: Funding

    Posted: May 24, 2026

    The Fast Grants Program provides lightweight, rapid gifts of up to $100,000 for researchers exploring high-ambition projects at the intersection of AI and health. It specifically aims to fund compute, dataset access, and pilot experiments that traditional grants often overlook.

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  • Eric and Wendy Schmidt AI in Science Postdoctoral Fellow

    Organization: Imperial College London

    Location: London, UK

    Region: UK

    Type: Hybrid

    Category: Fellowship

    Posted: May 23, 2026

    This prestigious fellowship supports early-career researchers in using artificial intelligence to advance and disrupt fields across natural sciences and engineering. Fellows conduct independent research within a multidisciplinary cohort while receiving specialized AI training and integration into the global Schmidt Sciences network.

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  • Changemaker Fellow

    Organization: Microsoft Elevate

    Location: Global

    Region: Remote

    Type: Remote

    Category: Fellowship

    Posted: May 23, 2026

    A global 10-week program designed for nonprofit and intergovernmental staff to move from AI interest to strategic, real-world adoption. Participants develop a concrete AI Adoption Plan while receiving expert mentorship and peer support to drive digital transformation within their organizations.

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  • Grantee - AI Accelerator Grant

    Organization: Ovarian Cancer Research Alliance

    Location: United States

    Region: US/Canada

    Type: On-site

    Category: Funding

    Posted: May 23, 2026

    The Ovarian Cancer Research Alliance provides various research grants and prizes to advance the prevention and treatment of gynecologic cancers. These awards support scientific efforts ranging from AI-driven care personalization to global research collaborations.

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  • Secure Program Synthesis Fellow

    Organization: Apart Research

    Location: Remote

    Region: Remote

    Type: Remote

    Category: Fellowship

    Posted: May 20, 2026

    This fellowship provides part-time research opportunities on mentor-led projects focusing on formal methods, AI systems, and security to improve software correctness. Participants work in small teams to address complex problems in specification elicitation, validation, and adversarial robustness for AI-generated code.

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  • Global Majority AI Fellow

    Organization: Heinrich Böll Stiftung

    Location: Geneva, Switzerland and New York, NY

    Region: US/Canada, EU

    Type: On-site

    Category: Fellowship

    Posted: May 16, 2026

    This fellowship supports civil society experts from the Global South to participate in the UN Global Dialogue on AI Governance. Selected fellows will engage in discussions regarding AI ethics, human rights, and global governance during sessions in Geneva and New York.

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  • MATS Autumn 2026 Scholar

    Organization: MATS

    Location: Berkeley, CA and London, UK

    Region: US/Canada, UK

    Type: On-site

    Category: Fellowship

    Posted: May 15, 2026

    This intensive 10-week research phase provides fellows with mentorship from world-class researchers at organizations like Anthropic and Google DeepMind to work on AI alignment, security, and governance. Participants are expected to develop independent research directions and produce tangible research outputs while receiving funding and potential extension options.

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  • Hi! PARIS Postdoctoral Fellow

    Organization: Hi! PARIS (Institut Polytechnique de Paris and HEC Paris)

    Location: Paris, France

    Region: EU

    Type: On-site

    Category: Fellowship

    Posted: May 15, 2026

    This call supports early-career researchers in AI and data science to join research labs at Institut Polytechnique de Paris or HEC Paris. Selected fellows receive funding for 12 months, with renewal options, to participate in high-impact multidisciplinary research and academic events.

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  • Transforming Society through AI Fellow

    Organization: Center of Policy Research and Governance (CPRG)

    Location: India

    Region: Asia, Remote

    Type: Remote

    Category: Fellowship

    Posted: May 9, 2026

    This fellowship program focuses on the intersection of artificial intelligence and societal transformation through policy research. Selected fellows will work on governance projects and receive a stipend of Rs. 50,000 for the duration of the program.

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  • Google DeepMind Fellow in Genomics and AI

    Organization: Wellcome Sanger Institute

    Location: Cambridge, UK

    Region: UK

    Type: Hybrid

    Category: Full-time

    Posted: May 9, 2026

    This role is responsible for applying your significant skills and expertise in AI/ML/Computer Science to deliver original research that tackles a ‘Grand Challenge’ in Genomics & AI; and developing and delivering ambitious and original outreach activities that build capacity in Genomics and AI.

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  • PRISM AI Safety Research Fellow

    Organization: PRISM

    Location: Global

    Region: Remote

    Type: Remote

    Category: Funding

    Posted: May 8, 2026

    PRISM is a peer-vetted research initiative focused on safety methodologies for artificial intelligence. It provides support for researchers developing technical approaches to ensure the alignment and safety of advanced AI systems.

    View Opportunity

  • Lunartech Fellow

    Organization: LUNARTECH

    Location: Armenia

    Region: Asia, Remote

    Type: Remote

    Category: Fellowship

    Posted: May 7, 2026

    The Lunartech Fellowship is a 6-month program focused on building real AI systems through hands-on mentorship. Participants engage in groundbreaking projects to develop cutting-edge AI, data, and software solutions for transformative growth.

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  • 2027 CRP Fellow

    Organization: Co-operative Research Programme, OECD

    Location: Global

    Region: US/Canada, UK, EU, Asia, Australia, Remote, Others

    Type: Remote

    Category: Fellowship

    Posted: May 7, 2026

    The aim of the Research Fellowships is to invite research scientists working in agriculture, forestry or fisheries who would like to conduct research projects abroad, in another member country of the Co-operative Research Programme from 6 to 26 weeks.

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  • Kempner AI Fellow

    Organization: Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard University

    Location: Cambridge, MA

    Region: US/Canada

    Type: On-site

    Category: Fellowship

    Posted: May 7, 2026

    The Kempner AI Fellows Program is designed for bachelor’s or master’s recipients with strong technical backgrounds in machine learning to engage in collaborative scientific research. Fellows work alongside Kempner investigators on projects spanning foundation models, NeuroAI, and computational biology at Harvard University.

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  • Research Scientist

    Organization: Texas GenAI Center, The University of Texas at Austin

    Location: Austin, TX

    Region: US/Canada

    Type: On-site

    Category: Full-time

    Posted: May 5, 2026

    This multi-year program will host several researchers working on one or more of the following topics: Natural Language Processing, Computer Vision, Machine Learning for Biology, and Machine Learning for Health/Medicine.

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  • CERN Short-Term Intern

    Organization: CERN

    Location: Geneva, Switzerland

    Region: EU

    Type: On-site

    Category: Internship

    Posted: May 5, 2026

    This program offers students in technical, engineering, or administrative fields the opportunity to take their first steps into a professional environment at a world-leading science organization. Participants will support experienced professionals on real projects while gaining practical skills and collaborating in a multicultural setting.

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  • Just Tech Fellow

    Organization: Social Science Research Council (SSRC)

    Location: United States

    Region: US/Canada

    Type: Remote

    Category: Fellowship

    Posted: Apr 29, 2026

    The Just Tech Fellowship supports rigorous, original, and community-grounded work that addresses pressing questions about how technology shapes society and public life. It provides a one-year unrestricted award of up to $60,000 to researchers, artists, and practitioners from a wide range of fields. Fellows must reside in the United States for the duration of the fellowship year.

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  • Research Associate

    Organization: Arcadia Impact

    Location: Global

    Region: Remote

    Type: Remote

    Category: Fellowship

    Posted: Apr 27, 2026

    This twelve-week part-time research program supports experienced professionals transitioning into AI governance careers focused on reducing catastrophic risks from advanced AI. Participants work in multidisciplinary teams to produce policy-relevant research outputs under the guidance of expert partners from leading safety organizations.

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  • AI Existential Risk Research Intern

    Organization: Existential Risk Observatory

    Location: Amsterdam, Netherlands

    Region: EU, Remote

    Type: Hybrid

    Category: Internship

    Posted: Apr 25, 2026

    Interns are responsible for doing research and helping draft papers as part of the project "Solving the Right Problem: Towards Researchers Consensus on AI Existential Threat Models" (with MIT FutureTech and Future of Life Institute).

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  • Grantee - Career Transition Grants

    Organization: BlueDot Impact

    Location: Global

    Region: Remote

    Type: Remote

    Category: Funding

    Posted: Apr 24, 2026

    This grant provides financial support and advising to individuals transitioning into full-time impactful AI safety work. Recipients receive warm introductions to field experts and regular check-ins to help them upskill, network, and identify high-impact career opportunities.

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  • Google Data Center Community AI Fellow

    Organization: Watson Institute

    Location: Google Data Center Communities

    Region: US/Canada, UK, EU, Asia, Australia, Remote, Others

    Type: Remote

    Category: Fellowship

    Posted: Apr 24, 2026

    The Google Data Center Community AI Fellowship is a fully-funded program empowering leaders to leverage AI and technology for local solutions. Fellows receive entrepreneurship training, committed mentorship, and access to Google’s AI products and resources to scale their community-focused ventures.

    View Opportunity

  • ARUA Early Career Research Fellow

    Organization: African Research Universities Alliance (ARUA)

    Location: Africa and Europe

    Region: EU, Others

    Type: On-site

    Category: Fellowship

    Posted: Apr 24, 2026

    This program provides early-career researchers at African universities with a six-month period dedicated to globally competitive research and collaboration. Selected fellows will work alongside distinguished researchers at ARUA Centres of Excellence or Africa-Europe Clusters of Excellence to enhance their research capacity, including in the fields of Artificial Intelligence, Data Science, and Theoretical and Computational Thinking.

    View Opportunity

  • Research Fellow 2026 Q3

    Organization: Pivotal Research

    Location: London, UK

    Region: UK

    Type: On-site

    Category: Fellowship

    Posted: Apr 21, 2026

    The Pivotal Research Fellowship is a 9-week in-person program in London designed to grow the group of talented people working on AI safety. Fellows receive stipends and mentorship from organizations like UK AISI and Google DeepMind to produce research papers or policy briefs.

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  • Basis Set AI Fellow 2026 - Data Centers Track

    Organization: Basis Set

    Location: San Francisco, CA

    Region: US/Canada, UK, EU, Asia, Australia, Remote, Others

    Type: Remote

    Category: Others

    Posted: Apr 17, 2026

    The Data Centers Track is for early-career builders excited about one of the biggest bottlenecks in AI: compute infrastructure. As demand for training and inference explodes, the frontier is no longer just models, it’s the systems, economics, and operations behind getting compute where it needs to go.

    View Opportunity

  • CIP Research Fellow

    Organization: The Collective Intelligence Project

    Location: Global

    Region: Remote

    Type: Remote

    Category: Fellowship

    Posted: Apr 17, 2026

    This six-month fellowship offers researchers the opportunity to conduct original academic and public-facing research using proprietary datasets on AI, public values, and democratic governance. Fellows work across thematic areas like cross-national analysis and AI evaluation while participating in virtual lab meetings and producing publishable outputs.

    View Opportunity

  • Grantee - Internet Society Foundation: Research Grant

    Organization: Internet Society Foundation

    Location: Global

    Region: US/Canada, UK, EU, Asia, Australia, Remote, Others

    Type: Remote

    Category: Funding

    Posted: Apr 12, 2026

    The Research Grant Program supports thematic research, especially in light of emerging paradigms including artificial intelligence, that advances the understanding of the Internet and its impact on society. It provides funding for independent researchers and organizations to explore topics such as the digital divide and the evolution of Internet technology.

    View Opportunity

  • OpenAI Safety Fellow

    Organization: OpenAI

    Location: Berkeley, CA

    Region: US/Canada, Remote

    Type: Hybrid

    Category: Fellowship

    Posted: Apr 8, 2026

    The OpenAI Safety Fellowship is a pilot program designed for external researchers and engineers to conduct high-impact research on the alignment and safety of advanced AI systems. Fellows receive a monthly stipend, compute support, and mentorship to produce significant outputs like papers or benchmarks.

    View Opportunity

  • Grantee - Pear AI Researcher Grant

    Organization: Pear VC

    Location: San Francisco, CA

    Region: US/Canada

    Type: On-site

    Category: Funding

    Posted: Apr 5, 2026

    Pear AI Researcher Grant is a funding scheme for promising PhDs, PhD grads and Professors to push the boundaries of their research towards solving real-world applications and turning them into world changing companies

    View Opportunity

  • Adobe IndiaAI Research Fellow

    Organization: Adobe Research

    Location: India

    Region: Asia

    Type: On-site

    Category: Fellowship

    Posted: Apr 5, 2026

    The Adobe India AI Research Fellowship is a one-year program supporting PhD candidates in India who are conducting advanced research in areas like computer vision and natural language processing. Selected fellows receive a significant stipend, mentorship from Adobe researchers, and access to Adobe tools to advance their dissertation work.

    View Opportunity

  • Google PhD Fellow

    Organization: Google

    Location: Global

    Region: US/Canada, UK, EU, Asia, Australia, Others

    Type: On-site

    Category: Fellowship

    Posted: Apr 2, 2026

    The Google PhD Fellowship Program supports outstanding graduate students doing exceptional and innovative research in areas relevant to computer science. The program aims to nurture the next generation of researchers through financial support and opportunities to collaborate with Google researchers.

    View Opportunity

  • Grantee - AI at Work

    Organization: Schmidt Sciences

    Location: Global

    Region: US/Canada, UK, EU, Asia, Australia, Remote, Others

    Type: Remote

    Category: Funding

    Posted: Mar 29, 2026

    This program (Proposal development awards: $10,000; Full research awards: up to $200,000 for up to 2 years) provides empirical research grants to explore how AI adoption influences labor markets and workplace environments. It offers financial support for field and quasi-experiments conducted by early-career quantitative social scientists globally.

    View Opportunity

  • AI Science Institute Postdoctoral Fellow

    Organization: Boston Consulting Group (BCG X)

    Location: United States

    Region: US/Canada

    Type: On-site

    Category: Fellowship

    Posted: Mar 27, 2026

    This postdoctoral fellowship role at BCG X focuses on advancing artificial intelligence research within a leading global management consulting firm. Fellows collaborate with technical and business leaders to tackle complex challenges in the fields of technology and engineering.

    View Opportunity

  • CBAI Summer Research Fellow in AI Safety ‘26

    Organization: Cambridge Boston Alignment Initiative

    Location: Cambridge, MA

    Region: US/Canada

    Type: On-site

    Category: Fellowship

    Posted: Mar 27, 2026

    This intensive nine-week program supports talented researchers in advancing AI safety domains such as interpretability, multi-agent safety, and risk management frameworks. Fellows receive a stipend and dedicated mentorship while engaging with the AI safety community at institutions like Harvard and MIT.

    View Opportunity

  • Mila AI Policy Fellow

    Organization: Mila

    Location: Montreal, Canada

    Region: US/Canada, Remote

    Type: On-site

    Category: Fellowship

    Posted: Mar 27, 2026

    The Mila AI Policy Fellowship (in-person or virtual) is designed for professionals and researchers focused on AI governance, policy, and inclusion. This program provides an opportunity to contribute to responsible AI practices and engage with Mila’s world-class research ecosystem.

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  • AI Ethics and Governance Fellow

    Organization: Policy Innovation Centre (PIC)

    Location: Africa

    Region: Remote, Others

    Type: Remote

    Category: Fellowship

    Posted: Mar 27, 2026

    This 12-week program equips African leaders with the technical literacy and governance expertise needed to design responsible, rights-based AI frameworks centered on African ethical traditions. Fellows will move from foundational learning to producing practical governance artifacts such as policy frameworks and AI audit protocols.

    View Opportunity

  • Ethical AI Governance Fellow

    Organization: Globethics

    Location: Geneva, Switzerland

    Region: EU

    Type: On-site

    Category: Fellowship

    Posted: Mar 27, 2026

    This competitive international programme is designed for early-career professionals to advance ethical and values-driven AI governance through mentorship and networking. Selected participants benefit from a one-week residency in Geneva and the opportunity to unlock seed funding for impactful AI ethics projects.

    View Opportunity

  • General Intelligence Fellow

    Organization: The General Intelligence Company

    Location: Global

    Region: Remote

    Type: Remote

    Category: Fellowship

    Posted: Mar 18, 2026

    The General Intelligence Fellowship is a 30-day program where individuals receive $1,000 upfront and daily platform credits to launch a company using the Cofounder 2 agentic platform. Participants retain full ownership and IP of their business while helping test next-generation agent orchestration and infrastructure management systems.

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  • Grantee - CHAI Hub Research Call Round 2

    Organization: Causality in Healthcare AI Hub (CHAI)

    Location: United Kingdom

    Region: UK

    Type: On-site

    Category: Funding

    Posted: Mar 17, 2026

    This funding opportunity supports academic researchers and post-doctoral research associates collaborating with industry partners and clinicians to advance causal AI research. Projects focus on aligning with the hub's mission to address healthcare challenges through AI innovation and interdisciplinary partnership.

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  • Queens’ AI Scholar

    Organization: Queens' College, University of Cambridge

    Location: Cambridge, UK

    Region: UK

    Type: On-site

    Category: Funding

    Posted: Mar 17, 2026

    This scholarship supports students pursuing an MPhil in Advanced Computer Science at the University of Cambridge. It provides full fee coverage for domestic students or a partial award of £25,000 for international students.

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  • AI and Society Fellow

    Organization: Center for AI Safety

    Location: San Francisco, CA

    Region: US/Canada

    Type: On-site

    Category: Fellowship

    Posted: Mar 14, 2026

    The AI and Society Fellowship is a fully-funded, three-month program supporting scholars in economics, law, and international relations to explore questions regarding AI power, wealth, and oversight. Fellows pursue autonomous research projects and engage with experts in the Bay Area to produce shareable academic outputs.

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