WIPO-2019人工智能技术趋势展望_-2019.3-158页_4mb

WIPO Technology Trends 2019: Artificial Intelligence Summary

Core Content

The WIPO Technology Trends 2019 report focuses on artificial intelligence (AI) as a transformative digital technology with significant impacts on business, society, and culture. It analyzes patent data, scientific publications, litigation, and acquisition activity to highlight trends in AI innovation since the 1950s. The report emphasizes the rapid growth of AI-related inventions and applications, offering insights into techniques, functional applications, and application fields.

Main Points

• AI is a new digital frontier that is reshaping industries and daily life, from autonomous vehicles to medical diagnosis and advanced manufacturing.
• AI-related inventions have surged since the 1950s, with nearly 340,000 AI-related patent applications and over 1.6 million scientific publications.
• Patent growth in AI has accelerated, with over half of AI inventions filed in the past five years (2014–2019), indicating a rapid shift from theory to commercial application.
• Scientific publications on AI began to boom around 2001, 12 years before the rise in patent applications, suggesting a growing focus on practical implementation.
• The ratio of scientific papers to inventions has decreased from 8:1 in 2010 to 3:1 in 2016, showing a shift from theoretical research to commercial use.

Key Areas of AI Innovation

AI Techniques

• Machine learning is the most dominant AI technique, appearing in over one-third of all AI-related inventions (134,777 patent documents).
• Deep learning and neural networks are among the fastest-growing techniques, with:
  • Deep learning showing an average annual growth rate of 175% from 2013 to 2016, reaching 2,399 filings in 2016.
  • Neural networks growing at a 46% annual rate over the same period, with 6,506 filings in 2016.

Functional Applications

• Computer vision is the most popular functional application, mentioned in 49% of all AI-related patents (167,038 documents), with an annual growth rate of 24%.
• AI for robotics and control methods showed the highest growth rates, with 55% annual growth from 2013 to 2016.

Application Fields

• The top application fields for AI include:
  • Telecommunications (15% of AI patents)
  • Transportation (15%)
  • Life and medical sciences (12%)
  • Personal devices, computing, and human-computer interaction (HCI) (11%)
• Other notable sectors are banking, entertainment, security, industry and manufacturing, agriculture, and networks (including social networks, smart cities, and the Internet of Things).

Key Players in AI Innovation

• The report identifies leading entities in AI patenting, including companies and universities/public research organizations.
• Google, Baidu, and universities such as MIT and EPFL are highlighted as major contributors to AI innovation.
• The top AI patent applicants are compared across regions and industries, showing the geographical spread of AI development.

Policy and Ethical Considerations

• The report discusses key policy and regulatory issues raised by AI, such as:
  • Data regulation and control
  • Incentivizing further research
  • Role of intellectual property (IP) protection
  • Ethical and human-centered AI development
• Experts emphasize the need for public-private partnerships, open sharing of AI knowledge, and increased understanding of AI to support its sustainable growth.

Future Outlook

• AI is compared to electricity as a new technological revolution, with the potential to transform every industry.
• The report highlights the importance of building an AI ecosystem to ensure long-term, equitable growth.
• Incumbent companies in various sectors are adopting AI to improve productivity, reduce costs, and create new services.
• The future of AI is expected to be shaped by increased collaboration, education, and ethical frameworks.

Conclusion

• The WIPO Technology Trends 2019 report provides a comprehensive overview of AI innovation and its impact on the global economy.
• It underscores the need for policy support, ethical considerations, and collaboration to ensure AI benefits all sectors of society.
• With AI-related patents growing faster than the average across all technologies, the pace of innovation is expected to accelerate in the coming years.