Long-Term Trends in the Public Perception of Artificial Intelligence

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.

[1]  Eric Horvitz,et al.  Identifying Dogmatism in Social Media: Signals and Models , 2016, EMNLP.

[2]  Kalev Leetaru,et al.  Culturomics 2.0: Forecasting large-scale human behavior using global news media tone in time and space , 2011, First Monday.

[3]  P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .

[4]  Björn-Olav Dozo,et al.  Quantitative Analysis of Culture Using Millions of Digitized Books , 2010 .

[5]  Florence March,et al.  2016 , 2016, Affair of the Heart.

[6]  B. Selman,et al.  Interim Report from the Panel Chairs: AAAI Presidential Panel on Long-Term AI Futures , 2012 .

[7]  Eric Horvitz,et al.  Mining the web to predict future events , 2013, WSDM.

[8]  Scott Counts,et al.  Modeling Ideology and Predicting Policy Change with Social Media: Case of Same-Sex Marriage , 2015, CHI.

[9]  Michael S. Bernstein,et al.  Empath: Understanding Topic Signals in Large-Scale Text , 2016, CHI.

[10]  Jure Leskovec,et al.  A computational approach to politeness with application to social factors , 2013, ACL.

[11]  Marián Boguñá,et al.  Measuring the Evolution of Contemporary Western Popular Music , 2012, Scientific Reports.

[12]  Eric Horvitz,et al.  Toward a Learning Science for Complex Crowdsourcing Tasks , 2016, CHI.

[13]  Eric Horvitz One Hundred Year Study on Artificial Intelligence: Reflections and Framing , 2016 .

[14]  Thomas G. Dietterich,et al.  Rise of concerns about AI , 2015, Commun. ACM.

[15]  P. Greenfield The Changing Psychology of Culture From 1800 Through 2000 , 2013, Psychology Science.

[16]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[17]  Michael S. Bernstein,et al.  We Are Dynamo: Overcoming Stalling and Friction in Collective Action for Crowd Workers , 2015, CHI.

[18]  Panagiotis G. Ipeirotis,et al.  Get another label? improving data quality and data mining using multiple, noisy labelers , 2008, KDD.