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BLACK BOX. “In the past, Google relied mostly on algorithms that followed a strict set of rules set by humans. The concern—as described by some former Google employees—was that it was more difficult to understand why neural nets behaved the way it did, and more difficult to tweak their behavior. The truth is that even the experts don't completely understand how neural nets work.” https://lnkd.in/d-4Nkau View in LinkedIn

AI DEVELOPS LANGUAGE that humans cannot understand. https://lnkd.in/dScFTcH View in LinkedIn

MACHINE CONSCIOUSNESS. "To Christof Koch, chief scientific officer of the Allen Institute for Brain Science in Seattle, the answer to these questions may lie in the fabric of the universe itself. Consciousness, he believes, is an intrinsic property of matter, just like mass or energy. Organize matter in just the right way, as in the mammalian brain, and voilà, you can feel." https://lnkd.in/dESDn6c View in LinkedIn

ALLEN INSTITUTE FOR BRAIN SCIENCE. "But after writing three books on consciousness, Koch says researchers are still far from knowing why it occurs, or even agreeing on what it is. Koch left his position at Caltech in 2011 to become part of a $500 million project launched by the billionaire Paul Allen, Microsoft’s cofounder.” https://lnkd.in/dESDn6c View in LinkedIn

Guess. View in LinkedIn

JUAN ENRIQUEZ, founding director of the Harvard Business School Life Sciences Project; chairman and CEO of Biotechonomy; managing director of Excel Venture Management; on the boards of Cabot Corporation, The Harvard Medical School Genetics Advisory Council, The Chairman’s International Council of the America’s Society, the Visiting Committee of Harvard’s David Rockefeller Center, Tuft University’s EPIIC, and Harvard Business School’s PAPSAC; CEO of Mexico City’s Urban Development Corporation; Coordinator General of Economic Policy and Chief of Staff for Mexico’s Secretary of State. Graduate of Harvard.” https://lnkd.in/duKwtHk View in LinkedIn

VIGILANCE REQUIRED. “There are fewer obvious constraints on the harm a system with poorly specified goals might do. In particular, an autonomous system that learns about human goals, but is not correctly designed to align its own goals to its best model of human goals, could cause catastrophic harm in the absence of adequate checks.” https://lnkd.in/dWsky-W View in LinkedIn

THE RISK. Systems that end up with poor models of their environment can do significant harm. View in LinkedIn