Demand for AI-related skills is soaring across diverse sectors in the US

The Stanford Institute for Human-Centered Artificial Intelligence (HAI) report encompasses a diverse range of topics, including the financial aspects of AI training, efforts to mitigate biases in language models, and the influence of AI on government policies. Within each of these domains, it sheds light on notable accomplishments achieved over the preceding year.

Commencing with an examination of current trends in AI research and development, the report underscores that the US and China have led the way in cross-border collaborations in AI publications from 2010 to 2021.

It underscores that China remains a dominant force, producing the highest number of AI publications across journals, conferences, and repositories. The second chapter delves into technical advancements in AI during 2022, highlighting the continuous improvement in the generative capabilities of language models, giving rise to innovations such as ChatGPT and DALL-E2.

Subsequent chapters explore topics like AI ethics, investment patterns in AI, the growing specialisation in AI education, policy and governance, diversity in terms of gender and ethnicity, and public perceptions of AI.

One intriguing finding is that, when compared to Americans, Chinese individuals tend to hold more favorable views towards AI-based products and services, with males generally exhibiting a more positive perception than females. Additionally, males constitute a significant majority of AI PhD graduates, accounting for 78.7% of new AI PhDs in 2021. On the legislative front, references to AI in legislative proceedings across 81 nations have surged nearly 6.5 times since 2016.

Significance of the AI Index Report

The AI Index Report serves as a comprehensive resource that distills, organizes, and presents information related to artificial intelligence in a visually engaging format. Its well-structured format ensures clarity in conveying key highlights and takeaways.

Key highlights

• Prior to 2014, the majority of significant machine learning models were developed by academic institutions. However, industry has since assumed the predominant role, producing 32 noteworthy machine learning models by 2022, as opposed to academia’s three.
• Artificial intelligence maintains its pioneering status by consistently achieving state-of-the-art results, with the pace of benchmark saturation accelerating.
• AI systems have both positive and negative environmental impacts, with recent studies revealing significant environmental consequences.
• Incidents and controversies related to AI have increased 26-fold since 2012, reflecting wider adoption and a growing understanding of the technology’s potential for misuse.
• The demand for AI-related skills is soaring across diverse sectors in the United States.
• Private investments in AI globally reached $91.9 billion in 2022, marking a 26.7% decline from the previous year.
• The adoption of AI technology by businesses has more than doubled in 2022 compared to 2017.
• There is a steep increase in policymakers’ attention to AI, exemplified by the rise in AI-related bills enacted into law, growing from just one in 2016 to 37 in 2022.