斯坦福-2023AI指数报告出炉：中国研究论文霸榜AI顶会！（英）-2023-386页_9mb

AI Index Report 2023 Summary

Core Content

The AI Index Report 2023 provides a comprehensive overview of the current state and trends in artificial intelligence (AI) across research, development, technical performance, ethics, economy, education, policy, and public opinion. It highlights the rapid advancement of AI technologies, their growing impact on society, and the increasing complexity of ethical and regulatory challenges.

Main Points

1. Industry Dominates AI Development

• Since 2014, industry has taken over from academia in releasing significant machine learning models.
• In 2022, there were 32 industry-produced models compared to only 3 from academia.
• Building state-of-the-art AI systems requires large amounts of data, computational power, and financial resources, which are more accessible to industry.

2. Performance Saturation on Traditional Benchmarks

• AI continues to achieve state-of-the-art results, but improvements on many benchmarks are marginal.
• The rate of benchmark saturation is increasing, suggesting diminishing returns on performance gains.
• New benchmarking suites like BIG-bench and HELM are being developed to address these limitations.

3. AI's Environmental Impact

• AI systems can have significant environmental impacts, as seen in the carbon emissions from training large models like BLOOM.
• However, reinforcement learning models like BCOOLER show potential for optimizing energy usage and reducing environmental harm.

4. AI Accelerates Scientific Progress

• AI is playing a growing role in scientific research, contributing to advancements in fields like hydrogen fusion, matrix manipulation, and antibody generation.
• AI models are increasingly used to improve and refine other AI systems, leading to self-improving AI learning.

5. Rise in AI Misuse Incidents

• The number of AI-related ethical incidents has increased 26 times since 2012.
• Notable incidents in 2022 included deepfake videos and AI-based call-monitoring in U.S. prisons.
• This growth reflects increased AI adoption and awareness of its potential misuse.

6. Increasing Demand for AI Skills

• AI-related job postings increased in all U.S. sectors except agriculture, forestry, fishing, and hunting.
• The average percentage of AI-related job postings rose from 1.7% in 2021 to 1.9% in 2022.

7. Decline in Private AI Investment

• Global private investment in AI decreased by 26.7% in 2022, the first decline in a decade.
• Despite this, AI investment has grown 18 times since 2013.
• The U.S. remains the largest investor, with $47.4 billion in 2022, compared to $13.4 billion in China.

8. AI Adoption by Companies

• The proportion of companies adopting AI has plateaued at 50%–60%, but those that have adopted it continue to benefit financially.
• AI adoption leads to cost reductions and revenue increases for businesses.

9. Policy and Governance Interest

• Policymakers worldwide are increasingly interested in AI, with legislative activity growing 6.5 times since 2016.
• In the U.S., 10% of federal AI bills were passed in 2022, up from 2% in 2021.
• AI-related legal cases in the U.S. increased to 110 in 2022, mostly involving civil, intellectual property, and contract law.

10. Public Opinion on AI

• Chinese citizens are the most positive about AI, with 78% believing its benefits outweigh its drawbacks.
• Only 35% of Americans share this view, indicating a more skeptical public sentiment.
• The report emphasizes the need for critical thinking about AI development and deployment.

Key Information

• Industry Leadership: Industry is now the primary driver of AI innovation, outpacing academia in model development and resource allocation.
• Ethical Challenges: AI systems face issues such as bias, hallucination, and misuse, which have led to increased ethical scrutiny and regulatory interest.
• Economic Impact: AI is becoming a critical part of business operations, with a growing demand for AI-related skills and increased investment in specific areas like healthcare and fintech.
• Environmental Concerns: AI has both negative and positive environmental impacts, with research exploring ways to mitigate its carbon footprint.
• Global Trends: China leads in AI-related publications, while the U.S. remains dominant in citations and investment.
• Education and Diversity: AI education is expanding, especially in K-12 and higher education, but gender and ethnic diversity in AI fields still lags.

Structure

• Co-Directors: Jack Clark (Anthropic, OECD) and Raymond Perrault (SRI International)
• Members: Erik Brynjolfsson, John Etchemendy, Katrina Ligett, Terah Lyons, James Manyika, Helen Ngo, Juan Carlos Niebles, Vanessa Parli, Yoav Shohoham, Russell Wald
• Staff and Researchers: Nestor Maslej (Research Manager and Editor in Chief), Loredana Fattorini (Research Associate), and others
• Contributors: A wide range of individuals and organizations contributed data and analysis to various sections of the report.

Data and Tools

• The report includes raw data and charts available on Google Drive.
• An interactive Global AI Vibrancy Tool allows comparison of up to 30 countries across 21 indicators and will be updated in late 2023.

Licensing and Citation

• The AI Index 2023 Annual Report is licensed under Attribution-NoDerivatives 4.0 International.
• Citation: Nestor Maslej, Loredana Fattorini, Erik Brynjolfsson, John Etchemendy, Katrina Ligett, Nestor Maslej, Vanessa Parli, Ray Perrault, Alexandra Rome, Jack Clark, and Raymond Perrault, "The AI Index 2023 Annual Report," AI Index Steering Committee, Institute for Human-Centered AI, Stanford University, Stanford, CA, April 2023.

Supporting Partners

• Google, OpenAI, NETBASE QUID, Open Philanthropy, CRA, Center for Security and Emerging Technology, GitHub, Govini, Lightcast, LinkedIn, McKinsey & Company, OECD.AI Policy Observatory, and others.

Conclusion

The AI Index Report 2023 underscores the rapid evolution of AI, its growing influence across sectors, and the ethical, environmental, and regulatory challenges that come with it. It highlights the need for continued research, responsible deployment, and inclusive education to ensure AI benefits all of society.