Summary of Artificial Intelligence Index Report 2024, by Nestor Maslej et al.
Artificial Intelligence Index Report 2024
by Nestor Maslej, Loredana Fattorini, Raymond Perrault, Vanessa Parli, Anka Reuel, Erik Brynjolfsson, John Etchemendy, Katrina Ligett, Terah Lyons, James Manyika, Juan Carlos Niebles, Yoav Shoham, Russell Wald, Jack Clark
First submitted to arxiv on: 29 May 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary Medium Difficulty summary: The 2024 Index is a comprehensive report on artificial intelligence (AI) that provides unbiased and rigorously vetted data on AI’s technical advancements, public perceptions, and geopolitical dynamics. This edition introduces new estimates on AI training costs, responsible AI landscape analysis, and an entirely new chapter on AI’s impact on science and medicine. The report tracks and visualizes data related to AI, aiming to provide policymakers, researchers, executives, journalists, and the general public with a nuanced understanding of this complex field. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Low Difficulty summary: This year’s AI Index is a big report that helps us understand artificial intelligence (AI) better. It has more data than ever before and tells us about how AI is changing our world. The report looks at things like how much it costs to train AI models, how people think about AI, and what impact it will have on science and medicine. It’s a helpful guide for people who want to know more about AI. |
