Time Out: Thinking About AI. This session will discuss the future of artificial intelligence and how we engage with data. "Time Out" is not just time away from our normal discourse, but time further out, as the security of artificial intelligence will be an issue of the future. We turned to cybersecurity long after we developed the systems of cyberspace; we must not fall similarly behind on AI, particularly since AI systems may be harder to protect than our networks. They are not deterministic, they are more opaque than the software of cyberspace, and data, not code, is what directs the machine. There are significant analogies between machine learning, bureaucracies, and markets for us to divine as we think about the future of AI security. There is a vulnerability to data poisoning across all three areas, and each ignores externalities and "common sense" behavior that is not already pre-programmed within it. Machine learning will be subject to regulation just as bureaucracies and markets themselves became regulated. Come and listen to two of the world’s leading theorists of artificial intelligence, technology, and security to think deeply about the future of AI, building on Richard Danzig's recent paper, "Machines, Markets and Bureaucracies as Artificial Intelligences."
The Hon. Dr. Richard J. Danzig is a Senior Fellow at the Johns Hopkins Applied Physics Laboratory, a Trustee of the RAND Corporation, a Director of the Center for a New American Security, and a Director of Saffron Hill Ventures (a European investment firm). Dr. Melanie Mitchell is the Davis Professor at the Santa Fe Institute. Her current research focuses on conceptual abstraction, analogy-making, and visual recognition in artificial intelligence systems.