10 Key Take Aways From AI Index Report 2023

Ground the Conversation About AI in Data

A multidisciplinary group of specialists from academia and industry leads the AI Index, an independent project at the Stanford Institute for Human-Centered Artificial Intelligence (HAI). As a result of the yearly report’s tracking, collation, distillation, and visualization of AI-related data, decision-makers are better equipped to advance AI responsibly and ethically which prioritizes humanity. With this 386-page report, it had full-throttle information about the same.

A wide variety of groups work together with the AI Index to monitor AI development. Georgetown University’s Center for Security and Emerging Technology, LinkedIn, NetBase Quid, Lightcast, and McKinsey are among these organizations. An all-time high amount of self-collected data and unique analysis may be found in the 2023 report. The geopolitical implications and training expenses of AI systems, public opinion trends in AI, K-12 AI education, and the environmental impact of AI systems were all part of this year’s report’s new foundation model study. In addition, the AI Index increased the number of nations it tracked for AI laws from 25 in 2022 to 127 in 2023.

10 key takeaways from AI Index Report 2023

Takeaway:1

Companies are moving faster than universities.

The academic community released the majority of the notable machine learning models up till 2014. The industry has been dominant ever since. In 2022, 32 notable machine learning models were created by businesses, while just three were created by universities. Industry players inherently hold higher amounts of data, computation, and money than nonprofits and academia do, which is becoming increasingly important for building state-of-the-art AI systems.

Takeaway:2

Professionals with expertise in artificial intelligence are in high demand across almost every American industry.

The average number of job posts related to artificial intelligence climbed from 1.7% in 2021 to 1.9% in 2022 across all data-collecting sectors in the US, excluding agriculture, forestry, fisheries, and hunting. U.S. companies are actively seeking candidates with experience and education in artificial intelligence.

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Takeaway:3

Compared to the previous year, private investment in artificial intelligence fell for the first time in ten years.

With a decline of 26.7% from 2021 to 2022, global AI private investment amounted to $91.9 billion in 2022. Both the overall amount of investment events involving AI and the number of AI businesses that received money recently fell. Nonetheless, spending on AI has skyrocketed during the past decade. Private investment in artificial intelligence increased 18-fold between 2013 and 2022.

Takeaway:4

A revolutionary new scientist—artificial intelligence?

In 2022, artificial intelligence models helped with hydrogen fusion, made matrix manipulation more efficient, and produced new antibodies; this is just the beginning of how AI is speeding up scientific advancement.

Takeaway:5

Traditional benchmarks achieving saturation performance.

Even while AI kept producing state-of-the-art results, there was very little change from one year to the next on numerous benchmarks. Also, benchmark saturation is happening at a faster rate than before. But, more complete benchmarking packages like BIG-bench and HELM are appearing on the market.

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Takeaway:6

The environmental impact of AI is mixed.

Artificial intelligence systems may cause major damage to the environment, according to new studies. A single air traveler’s one-way flight from New York to San Francisco emits 25 times as much carbon as BLOOM’s training run (Luccioni et al., 2022). The application of artificial intelligence systems to optimize energy usage has been demonstrated by new reinforcement learning models such as BCOOLER.

Takeaway:7

There has been a dramatic increase in the number of reported cases of AI abuse.

Since 2012, there has been a 26-fold increase in the number of AI events and controversies recorded in the AIAAIC database, which tracks incidents connected to the ethical misuse of AI. A deepfake video purporting to show Ukrainian President Volodymyr Zelenskyy surrendering and the use of call-monitoring technologies by U.S. prisons were two major events in 2022. Both the increased use of AI technology and the growing awareness of their potential misuse are reflected in this growth.

Takeaway:8

People in China tend to have a more favorable impression of AI services and products than the general public. Usual suspects… not so much.

There are more advantages than disadvantages to AI products and services, according to a 2022 IPSOS survey in which 78% of Chinese respondents agreed. This is the greatest percentage of any country surveyed. Saudi Arabians (76%) and Indians (71%) had the second-highest positive impressions of AI goods, behind only Chinese respondents. Among the nations polled, Americans had the lowest percentage of respondents (35%) who felt that the advantages of AI-powered goods and services outweighed their disadvantages.

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Takeaway:9

The attention of policymakers towards artificial intelligence is growing.

From 2016 to 2022, the number of laws featuring “artificial intelligence” that were approved into law increased from 1 to 37, according to an AI Index examination of 127 nations’ legislative records. Legislative proceedings around the world have mentioned AI approximately 6.5 times more frequently since 2016, according to an examination of 81 countries’ parliamentary data.

Takeaway:10

Although there has been no change in the percentage of businesses implementing AI, those who do are seeing significant gains.

While the percentage of organizations implementing AI has been relatively stable between 50% and 60% in recent years, it has more than quadrupled since 2017, according to McKinsey’s annual study report. Companies that have used AI have seen a significant uptick in revenue and a drop in expenses.