Research map / Large language models / AI and society
Long-Term Trends in the Public Perception of Artificial Intelligence
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Track AI discussion across years | New York Times coverage · New York Times articles, 1986–2016 | AI engagement: increased sharply since 2009 | Helped |
| Compare optimistic with pessimistic coverage | New York Times AI coverage · New York Times articles, 1986–2016 | optimistic-to-pessimistic coverage: roughly 2-3 times more | Mixed |
| Compare recent loss-of-control concern with its 1980s prevalence | New York Times AI coverage · New York Times articles, 1980s to recent years | loss-of-control concern prevalence: more than triple what it was as a percentage of AI articles in the 1980s | Helped |
| Track ethical concerns over time | New York Times AI coverage · New York Times articles, 1986–2016 | ethical concern prevalence | Helped |
| Track healthcare hopes over time | New York Times AI coverage · New York Times articles, 1986–2016 | healthcare hope prevalence | Helped |
| Track concerns about lack of progress over time | New York Times AI coverage · New York Times articles, 1986–2016 | lack-of-progress concern prevalence | Hurt |
| Track positive and negative views of AI's impact on work | New York Times AI coverage · New York Times articles, 1986–2016 | work-related concern and hope prevalence | Mixed |
| Require one worker vote rather than two or more | Paragraph annotation for military applications · Military applications ground-truth paragraphs | recall: 0.59 -> 1.00 | Helped |
| Require one worker vote rather than two or more | Paragraph annotation for military applications · Military applications ground-truth paragraphs | precision: 1.00 -> 0.81 | Hurt |
| Apply an NYT-trained classifier to Reddit posts | Loss-of-control trend measurement · Reddit posts, 2010–2015 | precision: 0.8 | Helped |
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