Dilemmas and Dangers in AI

How YOU can make a difference

Help tackle the biggest risks and opportunities posed by artificial intelligence

Interdisciplinary online fellowship helping you explore how to steer cutting-edge AI technology toward benefits for humanity.

  • Dates: 12 July to 16 August

  • Who: Smart, curious, and ambitiously altruistic students aged 15-19 who haven’t yet started university

  • Cost: Choice of tiers based on ability to pay (i.e. free if needed!)

  • Top participants receive custom mentorship, referrals to selective next-steps, access to funding, and ongoing support!

Apply now!

What you can expect

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Facilitated discussion groups with a cohort of smart, curious students

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Talks and Q&As with professionals addressing existential risks from AI

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Mentorship and referrals to pursue follow-up projects

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Support with UCAS applications and Oxbridge interviews

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97% of participants would recommend!

Surveyed at the end of our summer cohort, 97% of our 300+ Finalists ranked 7/10 or above on their likelihood to recommend this course; 35% said 10/10!

Plus, nearly 90% reported feeling more confident in their ability to make a positive impact after their course!

Course overview

Weekly structure

  • Work through weekly interactive videos, questions, articles, and other activities to prepare for the week’s exploration sheet and discussion call.

  • Weekly discussion with a Leaf facilitator and small-group breakouts to develop your critical thinking in conversation with intelligent, interesting, like-minded teens.

    We’ll do our best to find a slot that works around your other commitments!

  • From predicting trends in AI systems & policies to jailbreaking AI systems yourself (can you get it to reveal it's secret password?) to getting started on coding, you’ll explore practical skills to help you tackle the dangers of AI and explore your opinions by reflecting on the week’s content for yourself before your discussion call.

  • Meet professionals working at the forefront of tackling existential risks from artificial intelligence.

  • Share your own knowledge plus join sessions run by Fellows and alumni! Meet inspiring peers with shared interests; collaborate on projects; discover exciting new ideas.

  • Discord channel, paired 1:1s, and opportunities to get to know peers with different backgrounds but shared passions.

  • Weekly competitions for prizes! Eg. technical tasks, creative writing, or more extensive activities like Intelligence Rising, an immersive simulation developed by researchers at Cambridge University’s Centre for the Study of Existential Risk.

    (Participation is not guaranteed — you may need to sign up or apply internally, and it depends on your time availability.)

Winter 2026 speakers included:

  • Adam Jones, technical staff at Anthropic and former advisor to the UK Government's Department for Science, Innovation and Technology (DSIT)

  • Katja Grace, co-Founder of and researcher at AI Impacts, focused on AI forecasting and decision-making

  • David Kruger, Professor of Machine Learning at the University of Cambridge and Research Affiliate at the Centre for the Study of Existential Risk

  • Emma Lawsen, Chief of Staff at the Centre for Long-Term Resilience

  • Buck Shlegeris, CEO of AI safety and security research organization Redwood Research

Meet some staff & former speakers

Leaf is supported by a wide range of experts, facilitators, and alumni to help support the growth of our Fellows.

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Connor Axiotes

Conjecture, ex-Adam Smith Institute & UK Parliament

  • Connor is an AI policy and communications expert. Most recently, he worked as Strategic Communications Lead at Conjecture, a startup building a new AI architecture to ensure the controllable, safe development of advanced AI technology. He was previously Director of Communications & Research Lead for Resilience, Risk and State Capacity at the Adam Smith Institute (a UK think tank). He has worked in communications for Members of Parliament and Rishi Sunak’s Prime Ministerial campaign. He has a master’s in Global Politics from Durham Uni.

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Noah Siegel

Google DeepMind

  • Noah is a Research Engineer at Google DeepMind. After his research at the Allen Institute for AI in Seattle, he worked on machine learning for robotics at DeepMind before switching to focus on language model reasoning and explanations as part of AI Safety and alignment research. Having studied computer science, economics, and maths as an undergraduate, he is now pursuing a PhD in Artificial Intelligence at University College London via the UCL-DeepMind joint PhD program.

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Jai Patel

University of Cambridge

  • Jai researches AI governance at Cambridge University's Centre for the Future of Intelligence, working on policies to support AI to scale responsibly, and is soon starting full time at the UK government’s AI Safety Institute. He also works part time at EdTech startup Wellio, and previously co-developed CitizenAI, a GPT-wrapper which provides quick, independent, expert advice to address common issues such as employment or housing concerns. His undergrad was in PPE at LSE.

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Yi-Ling Liu

Writer, editor & journalist

  • Yi-Ling is writing a book for Penguin Press on the Chinese Internet, was previously the China editor of Rest of World, and wrote freelance for various outlets (New Yorker, WIRED, New York Times Magazine) on Chinese tech, society & politics. She is an affiliate at Concordia AI, which promotes international cooperation on AI safety and governance. Her undergrad was in English and creative writing at Yale University.

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Jack Parker

HiddenLayer

  • Jack is a computer security engineer whose speciality is offensive security. His education at Middlebury College and Duke University focused on math, machine learning, software engineering, and education. He is especially interested in solving technical safety and security problems to improve the reliability and trustworthiness of AI systems.

Sam Smith

Course designer and facilitator

  • Sam is the course designer and facilitator of DDAI. They are a Leaf alum and Non-Trivial winner who has facilitated several courses for both organisations. They are studying maths and philosophy at the University of Bristol and serve as a Program Associate for ERA Cambridge, helping researchers and entrepreneurs to understand and mitigate risks from frontier AI

The opportunities don’t end after five weeks!

Learn more here about our referrals to top research programs, connection to experts and mentorship, support and funding for projects, and other ongoing Leaf alumni opportunities!

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Cambridge AI Safety Hub

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Alumni have gone on to work with:

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Center for Youth and AI

Alumni Perspectives

  • A young woman with long, wavy brown hair smiling, wearing a navy school uniform sweater with red, white, and yellow stripes, and a white collared shirt underneath, standing against a light-colored wall.

    "The programme makes you think about all aspects of making an impact and provides you with tangible steps to take in order to reach these goals, while also allowing for some flexibility in which areas people want to explore more. I gained valuable information on the ideal next steps to take on the path to impact. Initially, I didn't think there were many ways to help solve world issues through a more technical route, as I thought the ways to make the most impact were through policy work, however now I will continue to explore these options further. Leaf also made me realise how little resources are currently being put in to solve this issue."

    Pratyusha

  • A young man with glasses and short hair stands outdoors in front of a tree with green leaves, wearing a dark polo shirt with white accents.

    "The fellowship provided resources that explain key ideas in various topics, enjoyable group discussions, and good set of speakers. The mechanistic interpretability guide gave me a nice starting point in getting involved in an area of AI technical safety. I'm a bit more keen on exploring Machine Learning and AI technical safety now due to Leaf. It was always a prospective option, but from learning more about the field it's made me priotise learning more about it sooner and trying to do more projects in that regard."

    Joshua

  • Young woman with curly hair smiling outdoors in a park during fall, wearing a floral top and a silver necklace.

    "I've been introduced to the problem of AI alignment and I would definitely put that in the top 5 most pressing problems in our world right now. I loved the balance between technical understanding and linking it to real world impact. I have never seen anything else for teenagers that comes close to this! I also loved the community that builds on the discussion calls and discord servers where everyone is respectful and there are really interesting discussions. I always looked forward to the group calls because everyone there had such amazing ideas. "

    Emily

  • Young woman with shoulder-length dark hair and braces smiling at the camera, wearing a black jacket with white stripes on the sleeves, indoors at a restaurant or cafe with dim lighting and decorative ceiling lights.

    "Leaf opened me up to lots of new information which allowed me to see new career pathways. I feel much more informed with lots of topics I am interested in AI, so I would definitely recommend this. I was inspired to write an article for my school magazine about economics, AI and religion! It emphasized to me the problems of AI and the lack of research into its alignment. It seems we are going way too fast in developing the capabilities of AI without knowing how far we can go. The debate around pausing dangerous AI research was interesting for this!"

    Renée

  • Young woman with curly red hair wearing a beige knit beanie and a sleeveless white top shopping in a store, holding sunglasses, with handbags on shelves in the background.

    "I wasn't too concerned about AI, but now it's moved up a lot higher on my list of concerns and I feel like I have more power to do something about it. The course faciliates and encourages real action; the last week was especially useful for developing a real future plan! I also liked learning debating skills and skills related to open-mindedness, like the 'scout mindset'. I found it fun, engaging, and educational overall."

    Laurie

  • A young man in a black suit, white shirt, and striped tie, smiling, wearing glasses, against a plain light background.

    "Probably one of the best things, I have done this year! Leaf made me more capable to try and solve some of humanity's most pressing problems. I previously thought climate change was the most important problem, but I now think that risks posed by AI might be even more so. Leaf changed my view by guiding me to the right places, showing me the right resources, and connecting me with like-minded peers. I was planning to do something in the technology field, but I now feel very inclined to focus on how to reduce the risks from AI, perhaps through governance rather than engineering."

    Sahishnu

Where Leaf alumni are now

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Oxford University

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Cambridge University

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Harvard University

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London School of Economics