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Keynote: Data in the Age of AI

AI and the internet are transforming our understanding of how the future happens, enabling us to acknowledge the chaotic unknowability of our everyday world. Back when we humans were the only ones writing programs, data looked like the oil fueling those programs. But now that machines are programming themselves, data looks more like the engine than its fuel. This is changing how we think about the world from which data arises, and that data is now shaping as never before. We’ve accepted that the intelligence of machine intelligence resides in its data, not just its algorithms—particularly in the countless, complex, contingent, and multidimensional interrelationships of data. But where does the intelligence of data come from? It comes from the world that the data reflects. That's why machine learning models can be so complex, we can't always understand them. The world is the ultimate black box. Weinberger looks at the implications of this for people who work with data, those who share knowledge and insights inside and outside the enterprise, and those looking for ways AI can assist their organizations in future success. Speaker: David Weinberger, Harvard's Berkman Klein Center for Internet & Society and Author, Everyday Chaos, Everything is Miscellaneous, Too Big to Know, Cluetrain Manifesto (co-author)