Craig Bowe is a Research Scientist at Google DeepMind, based in London. His work primarily focuses on Artificial Intelligence safety, particularly in the context of large language models and reinforcement learning. He is dedicated to developing techniques that ensure AI systems are aligned with human intentions and values, behave safely, and are beneficial. Craig's research often explores areas such as scalable oversight, preference learning, and building AI systems that are helpful, harmless, and honest. He has contributed to projects aiming to make dialogue agents safer and more aligned, like Google's Sparrow. His background includes significant work in machine learning and a commitment to the responsible development of advanced AI.
Craig Bowe's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Significantly contributed to the field of AI safety through research into scalable oversight, reward modeling, and alignment techniques for large language models and reinforcement learning agents, aiming to make AI systems more reliable and beneficial.
Involved in the research and development of safer and more aligned dialogue agents, notably contributing to initiatives like Google's Sparrow, focusing on making conversational AI helpful, harmless, and honest through human feedback.
Explored and advanced techniques in Reinforcement Learning from Human Feedback (RLHF) to better steer the behavior of AI models, improving their performance on complex tasks while adhering to human preferences and safety constraints.
Authored and co-authored influential research papers presented at top-tier AI conferences and journals, disseminating knowledge and new methodologies within the AI research community.
University of Dayton - Year 2001
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