Two leaders in the field offer a compelling analysis of the current state of the art and reveal the steps we must take to achieve a truly robust artificial intelligence.
Despite the hype surrounding AI, creating an intelligence that rivals or exceeds human levels is far more complicated than we have been led to believe. Professors Gary Marcus and Ernest Davis have spent their careers at the forefront of AI research and have witnessed some of the greatest milestones in the field, but they argue that a computer beating a human in Jeopardy! does not signal that we are on the doorstep of fully autonomous cars or superintelligent machines. The achievements in the field thus far have occurred in closed systems with fixed sets of rules, and these approaches are too narrow to achieve genuine intelligence.
The real world, in contrast, is wildly complex and open-ended. How can we bridge this gap? What will the consequences be when we do? Taking inspiration from the human mind, Marcus and Davis explain what we need to advance AI to the next level, and suggest that if we are wise along the way, we won't need to worry about a future of machine overlords. If we focus on endowing machines with common sense and deep understanding, rather than simply focusing on statistical analysis and gatherine ever larger collections of data, we will be able to create an AI we can trust—in our homes, our cars, and our doctors' offices. Rebooting AI provides a lucid, clear-eyed assessment of the current science and offers an inspiring vision of how a new generation of AI can make our lives better.
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盖瑞·马库斯(Gary Marcus),新硅谷机器人创业公司AI首席执行官兼创始人。机器学习公司“几何智能”首席执行官兼创始人,该公司于2016年被优步收购,随后马库斯在优步创立了人工智能实验室。纽约大学心理学和神经科学教授。研究方向跨越人类和动物的行为,涉及神经科学、心理学、人工智能等多个领域。1994年于麻省理工学院博士毕业,师从心理学大师史蒂芬·平克。
欧内斯特·戴维斯(Ernest Davis),纽约大学柯朗数学科学研究所计算机科学教授,人工智能领域科学家。
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