Thread by @StanfordHAI

Just released! The #AIIndex2023 rounds up the latest trends in AI. This year’s report introduces more original data than any previous edition, a new chapter on AI public opinion, and more. Here are the top takeaways: ↘️ stanford.io/3m3gStO

Takeaway #1: Industry races ahead of academia. Until 2014, most significant machine learning models were released by academia. Since then, industry has taken over. In 2022, there were 32 significant industry-produced ML models compared to just three produced by academia.

Takeaway #2: Performance saturation on traditional benchmarks. AI continued to post state-of-the-art results, but year-over-year improvement on many benchmarks continues to be marginal. Moreover, the speed at which benchmark saturation is being reached is increasing.

Takeaway #3: AI is both helping & harming the environment. New research (Luccioni et al.) shows BLOOM’s training run emitted 25x more carbon than a single air traveler on a one-way trip from NY to SF. Still, new models like BCOOLER suggest AI can be used to optimize energy usage.

Takeaway #4: AI models are starting to rapidly accelerate scientific progress. In 2022, AI was used to aid hydrogen fusion, improve the efficiency of matrix manipulation, and generate new antibodies.

Takeaway #5: The number of incidents concerning the misuse of AI is rapidly rising. According to the AIAAIC database, the number of AI incidents and controversies has increased 26x since 2012.

Takeaway #6: The demand for AI-related professional skills is increasing across virtually every American industrial sector, especially ones where there is data. The number of AI-related job postings has increased on average from 1.7% in 2021 to 1.9% in 2022.

Takeaway #7: For the first time in the last decade, year-over-year private investment in AI decreased by 26.7%. Still, during the last decade as a whole, AI investment has significantly increased. In 2022, private investment in AI was 18x greater than it was in 2013.

Takeaway #8: While the proportion of companies adopting AI has plateaued, the companies that have adopted AI continue to pull ahead. Organizations that have adopted AI report realizing meaningful cost decreases and revenue increases.

Takeaway #9: Policymaker interest in AI is on the rise. In an analysis of the legislative records on AI in 127 countries, the number of bills containing “artificial intelligence” that were passed into law grew from just 1 in 2016 to 37 in 2022.

Takeaway #10: In a 2022 IPSOS survey, Chinese citizens (78%) are among those who feel most positively about AI products and services. Americans… not so much. (Only 35% felt similarly positive.)

Take a deeper dive at the report here: aiindex.stanford.edu/report/