10 takeaways from the 2023 AI Index Report

1 – Industry is getting ahead of academia.
Until 2014, the most important machine learning models were published by universities. Since then, the industry has taken over. In 2022, there were 32 significant machine learning models produced by industry, compared to just three produced by universities. Creating cutting-edge AI systems increasingly requires large amounts of data, computing power and money – resources that industry players inherently possess in greater quantities than nonprofits. profit and universities.

2 – Saturation of performance on traditional reference criteria.
AI continued to show leading results, but the year-over-year improvement across many benchmarks was not enough.
Furthermore, the rate at which benchmark saturation is reached is accelerating. However, new, more comprehensive benchmarking suites, such as BIG-bench and HELM, are under development.

3 – AI is both beneficial and harmful to the environment.
New research suggests that AI systems can have serious environmental impacts. According to Luccioni et al. (2022), BLOOM's training course emitted 25 times more carbon than a one-way flight from New York to San Francisco. However, new reinforcement learning models like BCOOLER show that AI systems can be used to optimize energy use.

4 – The best new scientist in the world… AI?
AI models are beginning to rapidly accelerate scientific progress and, in 2022, they were used to facilitate hydrogen fusion, improve the efficiency of manipulation and generate new antibodies.

5 – The number of incidents regarding the misuse of AI is increasing rapidly.
According to the AIAAIC database, which tracks incidents related to the ethical misuse of AI, the number of AI-related incidents and controversies has increased 26-fold since 2012. Notable incidents in 2022 included a deepfake video of Ukrainian President Volodymyr Zelensky surrendering, and US prisons using technology to monitor inmate phone calls. This growth reflects both increased use of AI technologies and a growing awareness of their potential for misuse.

6 – Demand for professional skills related to AI is increasing in
virtually every US industry
In all US sectors for which data is available (except agriculture, forestry, fishing, and hunting), the number of AI-related job postings increased on average by
1,7% in 2021 to 1,9% in 2022. Employers in the United States are increasingly looking for workers with AI-related skills.

7 – The total number of AI-related funding events as well as the number of newly funded AI companies have also decreased.
Global private investment in AI totaled $91,9 billion in 2022, a decrease of 26,7% since 2021. However, over the past decade, investment in AI has increased significantly. In 2022, the amount of private investment in AI was 18 times higher than in 2013.

8 – While the proportion of companies adopting AI has plateaued, the
companies that have adopted AI continue to forge ahead.
The proportion of companies adopting AI in 2022 has more than doubled since 2017, although it has plateaued in recent years between 50% and 60%, according to the results of McKinsey's annual survey. Organizations that have adopted AI report significant cost reductions and revenue increases.

9 – Interest among policy makers in AI is increasing.
An analysis of legislative archives from 127 countries using the AI ​​Country Index shows that the number of bills containing "artificial intelligence" that were passed increased from 1 in 2016 to 37 in 2022. An analysis of parliamentary reports on AI in 81 countries also shows that mentions of AI in global legislation have increased almost 6,5 times since 2016.

10 – Chinese citizens are among those most positive about AI products and services.
In a 2022 IPSOS survey, 78% of Chinese respondents (the highest proportion among countries surveyed) agreed with the statement that products and services using AI have more benefits than benefits. disadvantages.
After the Chinese, respondents from Saudi Arabia (76%) and India (71%) are the most positive toward AI products. Only 35% of Americans surveyed (among the lowest of the countries studied) agree that products and services using AI have more advantages than disadvantages.

source: https://aiindex.stanford.edu/report/

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