Transcription of AI Now 2017 Report
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AI Now 2017 Report
AI Now 2017 Report Authors Alex Campolo, New York University Madelyn Sanfilippo, New York University Meredith Whittaker, Google Open Research, New York University, and AI Now Kate Crawford, Microsoft Research, New York University, and AI Now Editors Andrew Selbst, Yale Information Society Project and Data & Society Solon Barocas, Cornell University Table of Contents Recommendations1 Executive Summary3 Introduction6 Labor and Automation7 Research by Sector and Task7 AI and the Nature of Work9 Inequality and Redistribution1 3 Bias and Inclusion1 3 Where Bias Comes From1 4 The AI Field is Not Diverse1 6 Recent Developments in Bias Research1 8 Emerging Strategies to Address Bias20 Rights and Liberties21 Population Registries and Computing Power2 2 Corporate and Government Entanglements2 3 AI and the Legal System2 6 AI and Privacy2 8 Ethics and Governance30 Ethical Concerns in AI30 AI Reflects Its Origins31 Ethical Codes3 2 Challenges and
A I N o w 2 0 1 7 R ep o r t 3 E x e c u t i ve S u m m a r y Artificial i ntelligence ( AI) t echnologies a re i n a p hase o f r apid d evelopment, a nd a re b eing
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