Long-Term Trends in the Public Perception of Artificial Intelligence

Authors

  • Ethan Fast Stanford University
  • Eric Horvitz Microsoft Research

DOI:

https://doi.org/10.1609/aaai.v31i1.10635

Keywords:

artificial intelligence, news analysis, crowdsourcing

Abstract

Analyses of text corpora over time can reveal trends in beliefs, interest, and sentiment about a topic. We focus on views expressed about artificial intelligence (AI) in the New York Times over a 30-year period. General interest, awareness, and discussion about AI has waxed and waned since the field was founded in 1956. We present a set of measures that captures levels of engagement, measures of pessimism and optimism, the prevalence of specific hopes and concerns, and topics that are linked to discussions about AI over decades. We find that discussion of AI has increased sharply since 2009, and that these discussions have been consistently more optimistic than pessimistic. However, when we examine specific concerns, we find that worries of loss of control of AI, ethical concerns for AI, and the negative impact of AI on work have grown in recent years. We also find that hopes for AI in healthcare and education have increased over time.

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Published

2017-02-12

How to Cite

Fast, E., & Horvitz, E. (2017). Long-Term Trends in the Public Perception of Artificial Intelligence. Proceedings of the AAAI Conference on Artificial Intelligence, 31(1). https://doi.org/10.1609/aaai.v31i1.10635

Issue

Section

AAAI Technical Track: Human-Computation and Crowd Sourcing