• Live longer than those in Developed countries. Stanford AI Index 2021 Annual Report
  • By Anthony Alford
  • The Nuggets translation Project
  • Permanent link to this article: github.com/xitu/gold-m…
  • Translator: PingHGao
  • PassionPenguin, Zhangcong2711

Stanford releases its artificial Intelligence Index 2021

Stanford institute for Human-Centered Artificial Intelligence (HAI) has released its ai Index 2021 report. Compared with the previous year, the underlying data for this year’s report have been further expanded. The report also discusses the impact of the COVID-19 pandemic on the research and development of ARTIFICIAL intelligence technologies from multiple perspectives.

In order to improve the quality of the new report, over the past year, the research institute engaged with more than 140 members from academia, government and industry. As a result, the new report contains more data and looks at technical performance, diversity and ethical issues. The report consists of seven chapters and can be summarized with nine key words. In particular, ai applications for molecular biology and drug discovery have received the most private investment, in part because of the COVID-19 outbreak. The COVID-19 pandemic has also led to the conversion of many AI conferences to online conferences, which has increased participation. However, the COVID-19 pandemic has not adversely affected AI investment and the workplace. This year, the proportion of PhD graduates in AI going to work in industry increased compared to previous years.

The report is divided into seven chapters: Research and development, Technology Performance, economics, AI education, ethical challenges of AI applications, DIVERSITY of AI, AI policy and national strategies. These chapters are based on publicly available data and contain dozens of charts. The chapter “Research and Development” covers the growth of research papers and conferences over time and in geographical areas. The “Technical Performance” section tracks the accuracy of AI across multiple benchmarks in fields such as computer vision (CV), natural language processing (NLP) and molecular biology. The report notes that AI systems can now generate speech, text and images of such high quality that humans often cannot distinguish them.

GAN Network advances in face SynthesisStanford HAI AI Index Report)

The economics chapter focuses on employment and investment trends in each country, while the AI education chapter looks at university courses and PhD graduates in AI. One important takeaway is that in North America, 65 percent of these new PHDS chose jobs in industry rather than academia, up from 44.4 percent the previous year. The ethical Challenges chapter notes that the team was “surprised to find very little data on the topic” and specifically mentions the lack of standards. The diversity chapter also mentions the lack of publicly available data, but does note that “the AI workforce remains predominantly male.”

The final chapter, “AI Policy and National Strategy”, presents the trend of published white papers on AI strategies and international cooperation in the field of AI. It also highlights the role of the US government in AI investment and policy making. The report notes that the 116th Congress was “the most AI-focused congressional session in history,” with more than three times as many references to AI as previous congresses.

The institute has also updated its interactive “Global Vitality Tool”, which compares up to 26 countries using 22 indicators. These measures measure the performance of a variety of R&D, economic and related factors, such as: number of conference papers, number of patents and investment. The tool can show the overall situation of all countries or detailed indicators of individual countries and contains data from 2015 to 2020.

The full report can be downloaded from the AI Index website. Raw data and high-resolution images from the report are available on Google Drive. This report is licensed under the Creative Commons Attribution – No Deductive 4.0 International License.

If you find any mistakes in your translation or other areas that need to be improved, you are welcome to the Nuggets Translation Program to revise and PR your translation, and you can also get the corresponding reward points. The permanent link to this article at the beginning of this article is the MarkDown link to this article on GitHub.

The Nuggets Translation Project is a community that translates quality Internet technical articles from English sharing articles on nuggets. The content covers Android, iOS, front-end, back-end, blockchain, products, design, artificial intelligence and other fields. If you want to see more high-quality translation, please continue to pay attention to the Translation plan of Digging Gold, the official Weibo, Zhihu column.