Alan Dershowitz

Guangyu Chen (Nathan) is a machine learning researcher at Kimi, Moonshot AI, specializing in model architecture, efficient attention mechanisms, and continual learning. Co-first author of the Attention Residuals paper, praised by Elon Musk and Andrej Karpathy.

Alfred Paul "Al" Seckel was an American cognitive neuroscientist, author, and prominent skeptic known for his work in popularizing optical illusions and perceptual phenomena. He was an instructor at the California Institute of Technology and co-founded the Southern California Skeptics, serving as its executive director. Seckel lectured extensively on illusions at prestigious institutions like Harvard, MIT, and Caltech, using them as a window into the hidden rules of the human perceptual system.

Alexey Kurakin is a Senior Staff Research Engineer at Google DeepMind, specializing in the security and privacy of machine learning, large language models (LLMs), and differential privacy. He has a long tenure at Google, previously working as a Research Software Engineer at Google Brain, where he focused on fundamental research and applications in machine learning. Kurakin is a prolific researcher, publishing papers at top machine learning conferences like NeurIPS, ICLR, and ICML, and is highly cited in the field.

Anca Dragan is a prominent figure in AI and robotics, currently serving as the Director of AI Safety and Alignment at Google DeepMind while on leave from her role as an Associate Professor at UC Berkeley's EECS Department. Her research, conducted through the InterACT Lab, focuses on algorithms for human-AI and human-robot interaction, particularly on AI alignment to ensure agents act in accordance with human goals and values. She is recognized for her work in reward engineering and enabling AI agents to work collaboratively with people.

Andrew Ng is a globally recognized leader in Artificial Intelligence, known for co-founding Coursera and founding DeepLearning.AI, AI Fund, and LandingAI. He is a former head of Baidu AI Group and the founder of the Google Brain team. He currently serves as an Adjunct Professor of Computer Science at Stanford University.

Been Kim is a Senior Staff Research Scientist at Google DeepMind, specializing in interpretable machine learning (Explainable AI). Her research focuses on developing human-centered tools and concepts to help people communicate with and understand complex ML models. She is known for her work on TCAV (Testing with Concept Activation Vectors), which received the UNESCO Netexplo award, and has given keynotes at major conferences like ICLR 2022 and ECML 2020.

Chelsea Finn is an Assistant Professor of Computer Science and Electrical Engineering at Stanford University, where she directs the IRIS (Intelligence, Robotics, and Interactive Systems) Lab. She is a leading American computer scientist specializing in machine learning, robotics, and reinforcement learning. Finn is also the co-founder of Physical Intelligence, a company focused on developing intelligent physical systems. Her work has been highly influential, evidenced by over 100,000 citations.

Dawn Song is a highly distinguished Professor of Computer Science at UC Berkeley, where she also co-directs the Berkeley RDI Center. Her research focuses on critical areas including AI safety and security, Agentic AI, deep learning, and decentralization technology. A serial entrepreneur, she is the founder of Oasis Labs and is recognized for her significant contributions to computer security and privacy, including being a recipient of the prestigious MacArthur Fellowship.

Fei-Fei Li is a Chinese-born American computer scientist, best known as the inventor of ImageNet and the ImageNet Challenge, a pivotal dataset that fueled the rapid advancement of modern computer vision and deep learning. She is the Sequoia Professor of Computer Science at Stanford University and the Co-Director of the Stanford Institute for Human-Centered Artificial Intelligence (HAI). She also co-founded the non-profit AI4ALL and is the CEO and Cofounder of World Labs.