Center for Human-Compatible AI
Rachel Freedman is an AI PhD Researcher at the Center for Human-Compatible AI at UC Berkeley, specializing in reinforcement learning and value alignment under the guidance of Professor Stuart Russell. Rachel has also held positions as a Visiting Researcher at the University of Cambridge and served as a Fintech Consultant at Galatea Associates, where complex regulatory compliance solutions were developed for financial institutions. Academic contributions include significant research on moral AI, recognized with awards at AAAI and AIES. Rachel co-founded the Oxford Existential Risk Society, promoting discussions on existential risks, and has experience in software engineering at Microsoft. Educational credentials include a PhD in Artificial Intelligence from UC Berkeley and a Bachelor's degree in Artificial Intelligence Systems from Duke University.
Center for Human-Compatible AI
The Center for Human-Compatible AI (CHAI) is a research institute based at UC Berkeley led by Prof Stuart Russell. CHAI's goal is to develop the conceptual and technical wherewithal to reorient the general thrust of AI research towards provably beneficial systems. Artificial intelligence research is concerned with the design of machines capable of intelligent behavior, i.e., behavior likely to be successful in achieving objectives. The long-term outcome of AI research seems likely to include machines that are more capable than humans across a wide range of objectives and environments. This raises a problem of control: given that the solutions developed by such systems are intrinsically unpredictable by humans, it may occur that some such solutions result in negative and perhaps irreversible outcomes for humans. CHAI's goal is to ensure that this eventuality cannot arise, by refocusing AI away from the capability to achieve arbitrary objectives and towards the ability to generate provably beneficial behavior. Because the meaning of beneficial depends on properties of humans, this task inevitably includes elements from the social sciences in addition to AI.