PERKINSCOIE：2022年新兴科技趋势报告（EN）_161页_5mb

2022 Emerging Technology Trends Summary

Core Content

This document provides an overview of 10 emerging and nascent technologies that are transforming industries, influencing society, and shaping the legal landscape. These technologies include AI, Machine Learning, Quantum Computing, Cloud Computing, Digital Media & Entertainment, Greentech, Healthtech & Medtech, Mobile Wireless Technology, Privacy & Security, Retail & E-Commerce, Robotics & Autonomous Systems, and Spacetech. The report emphasizes the disruptive potential of these technologies, their impact on the economy, society, and the environment, and the legal challenges they present.

Main Trends and Implications

1. Disruption and Transformation

• Over the past two decades, new technologies have created innovative business models that disrupt traditional ways of working.
• The pandemic has accelerated the adoption and development of these technologies, particularly in addressing health and economic challenges.
• The convergence of advanced technologies is expected to drive growth and economic development in the coming decade.

2. AI, Machine Learning & Quantum Computing

Overview

• Artificial Intelligence (AI): Mimics human intelligence, with applications in learning, reasoning, and perception.
  • Narrow AI: Operates within a specific domain (e.g., facial recognition, natural language processing).
  • General AI: Theoretical form of AI capable of human-like thinking and problem-solving.
• Machine Learning (ML): Enables systems to learn from data rather than explicit programming.
• Quantum Computing: Uses quantum properties (superposition and entanglement) to process information in qubits, potentially solving complex problems more efficiently than classical computers.

Industry Signals

• NASA's Tipping Point Program: Uses AI and IoT to develop autonomous lunar navigation systems.
• Apple Acquisitions: Has acquired several AI startups to enhance speech and image recognition capabilities.
• Industrial AI Growth: Expected to grow at a 24.1% CAGR to $18.9 billion by 2024, with applications in supply chain optimization and agricultural monitoring.
• Healthcare AI: Used in drug development, clinical decision support, and personal health monitoring.
• Government Use: U.S. DOD is investing in AI for defense, and the FTC has issued guidelines on AI fairness and transparency.

Impact

• Economic: AI could add up to $13 trillion to the global economy by 2030, but also threatens to reduce labor costs and exacerbate inequality.
• Social: May increase social and political inequalities, particularly in low- and middle-income countries.
• Environmental: Supports climate action and sustainable development goals (SDGs) through improved efficiency in climate modeling.
• Policy: U.S. government has allocated $6.4 billion to AI initiatives, and the FTC has issued new guidelines on truth, fairness, and equity in AI.

Legal Implications

• Transactions: Venture capital and private equity investments in AI and ML are increasing, with a focus on strategic M&A and public listings.
• Quantum Computing: Gaining attention with rising investment and M&A activity, though still a nascent field.
• Litigation: Increasing lawsuits against AI systems due to alleged biases in decision-making and data privacy concerns.
• Privacy: Use of personal data for AI training raises ethical and compliance risks.
• Regulatory: Financial regulators are closely examining AI use, and the FTC has issued new guidelines to ensure fairness in AI applications.
• Patents and Copyrights: Debate continues on whether AI can be considered an inventor or creator, with some countries offering statutory protection for AI-generated works.

Key Sectors and Applications

• Agriculture: AI is used for crop monitoring and inventory management.
• Financial Services: AI is being used for fraud detection, program advising, and recommendation systems.
• Healthcare: AI aids in drug development, clinical decision support, and patient care.
• Retail: AI is used for customer engagement, inventory management, and personalized shopping experiences.
• Government: AI is being deployed in defense, immigration, and regulatory oversight.

Copyright and Patent Considerations

• Copyright: In the U.S., AI-generated works are not eligible for copyright unless there is human input. Other countries may offer different protections.
• Patents: There is ongoing debate about whether AI can be recognized as an inventor, with some jurisdictions considering legal changes to accommodate AI-generated innovation.

Authors and Advisors

• The report is authored by a team of legal and tech experts from Perkins Coie, including:
  • John Delaney (New York)
  • Dean Harvey (Dallas)
  • Samuel Jo (Seattle)
  • Marc Martin (Washington, D.C.)
  • Justin Moon (Seattle)
  • Lisa Oratz (Bellevue & Seattle)

Conclusion

The report highlights the transformative power of emerging technologies and the need for legal and regulatory foresight to manage their implications. As these technologies mature and converge, they will continue to reshape industries, influence societal structures, and challenge existing legal frameworks.