In their new book, Rebooting AI: Building Artificial Intelligence We Can Trust, professors Gary Marcus and Ernest Davis argue that society is still far away from developing superintelligent machines. The authors argue that researchers will need to endow AI with common sense in order to improve on current AI systems, which rely on statistical analysis and can only perform specific tasks. For example, the authors argue that AI will need to understand concepts such as time, space, and causality. The authors assert researchers can program intelligent machines that understand these concepts to understand general instructions, such as that a robot may not injure a human being.
Rebooting AI: Building Artificial Intelligence We Can Trust
Michael McLaughlin is a research analyst at the Center for Data Innovation. He researches and writes about a variety of issues related to information technology and Internet policy, including digital platforms, e-government, and artificial intelligence. Michael graduated from Wake Forest University, where he majored in Communication with Minors in Politics and International Affairs and Journalism. He received his Master’s in Communication at Stanford University, specializing in Data Journalism.
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