Adam Gleave Named Schmidt Sciences AI2050 Early Career Fellow
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
November 4, 2025
Summary
Adam Gleave, co-founder and CEO of FAR.AI, has been named as one of Schmidt Sciences’ AI2050 Early Career Fellows. Co-chaired by Eric Schmidt and James Manyika, the Schmidt Sciences’ AI2050 Early Career Fellowship is an ambitious project aiming to answer a fundamental question: "It's 2050. AI has turned out to be hugely beneficial to society. What happened? What are the most important problems we solved and the opportunities and possibilities we realized to ensure this outcome?"
We are excited to announce that Adam Gleave, co-founder and CEO of FAR.AI, has been named as one of Schmidt Sciences’ AI2050 Early Career Fellows. This year’s cohort of AI2050 Fellows include 28 researchers from 42 institutions across eight countries, who are collectively receiving more than $18 million to advance AI for the benefit of humanity.
What is the fellowship?
Co-chaired by Eric Schmidt and James Manyika, the Schmidt Sciences’ AI2050 Early Career Fellowship is an ambitious project aiming to answer a fundamental question: "It’s 2050. AI has turned out to be hugely beneficial to society. What happened? What are the most important problems we solved and the opportunities and possibilities we realized to ensure this outcome?"
Eric and Wendy Schmidt have committed $125 million in funding over the course of 5 years to the initiative, started in 2022. In addition to funding, this fellowship aims to build a research community tackling problems critical for ensuring advanced AI is safe and beneficial for everyone. You can learn more about the types of problems Schmidt Sciences is aiming to address from their Working List of Hard Problems in AI.
Adam’s research
Adam will be leading a project that develops techniques to detect and eliminate undesirable hidden behaviors in advanced AI systems. Just as security researchers find and fix vulnerabilities in software, this research will create methods to audit AI models for concealed objectives that could lead to harmful actions. Through a "red-team/blue-team" approach, the team will first create models with sophisticated hidden behaviors, then develop tools to identify and remove them. This work addresses risks from both malicious actors inserting backdoors in models, and unintentional AI misalignment. The resulting methods will help ensure that increasingly powerful AI systems are trustworthy, allowing society to benefit from AI advances while managing potential risks.
Red-team/blue-team approaches are already common for fields like security, where it’s critical that vulnerabilities in the software are found and fixed before an incident occurs.
Thank you to the AI2050 Program at Schmidt Sciences for the opportunity to work on these important research projects. Read the full announcement at https://www.schmidtsciences.org/schmidt-sciences-awards-18m-to-researchers-working-to-ensure-ai-benefits-society/
