SCOR-人工智能对（再）保险业的影响（英文版）-2018.3-36页-9mb

Summary of "The Impact of Artificial Intelligence on the (Re)Insurance Sector"

Core Content

This document explores the transformative impact of Artificial Intelligence (AI) on the (re)insurance industry, emphasizing both the challenges and opportunities it presents. It highlights the role of AI in reshaping risk management, customer experience, underwriting, and claims processing, while also addressing the broader implications of AI on society and the insurance sector.

Main Viewpoints

• AI as a Game Changer: AI will significantly alter the (re)insurance industry by improving predictability, efficiency, and personalization.
• Risk Management Evolution: AI introduces new risks such as algorithmic errors, cyber threats, and liability issues, while also offering tools for better risk detection and modeling.
• Technological Foundations: The advancement of AI is driven by big data, cloud computing, and machine learning, with deep learning being a key component.
• Human-AI Collaboration: The future of (re)insurance is not about replacing humans with machines, but about integrating AI to enhance human capabilities.
• Global AI Trends: The AI market is accelerating and may lead to a global revolution, with the emergence of a winner-takes-all paradigm dominated by major tech players from the U.S. and China.

Key Information

1. Impact on (Re)Insurance Industry

• AI will redefine the value proposition of insurance, enabling personalized customer experiences and tailored products.
• It will improve underwriting and claims processing through automation and enhanced data analysis.
• AI will help in identifying and modeling emerging risks, including fraud detection and risk segmentation.
• The integration of AI will allow for real-time monitoring and ex-ante predictability, fundamentally changing the way risks are managed.

2. AI and Risk Management

• AI can help bridge the protection gap and improve risk knowledge.
• It enhances the granularity of risk pricing and enables more accurate underwriting and claims analysis.
• However, AI also creates new intrinsic risks, such as algorithmic errors, cyber threats, and liability issues.
• The concept of moral hazard and adverse selection may evolve with the availability of more comprehensive data.

3. AI and the Future of Work

• (Re)insurance professionals must adapt to cooperate with AI, developing new skillsets such as data science and software development.
• The role of judgment, innovation, and accountability remains uniquely human and essential in the industry.
• AI will augment human capabilities, not replace them, by allowing professionals to focus on value-added tasks.

4. Global AI Development and Market Trends

• AI is at the intersection of three mega-trends: big data, cloud computing, and machine learning.
• The global AI race is being fueled by national interests, security needs, and techno-scientific advances.
• The U.S. and China are leading the AI market, creating a winner-takes-all paradigm.
• Emerging global challenges such as climate change will require AI to help understand and manage complex risks at both macro and micro levels.

5. AI in Practice

• AI tools are already being used in customer experience, financial advice, underwriting, and claims processing.
• The "Man Machine Learning" concept combines human creativity with automated data analysis.
• AI's ability to process large volumes of data in real time is a major advantage, leading to cost savings and efficiency gains.

Key Figures and Contributions

• Denis Kessler, Chairman & CEO of SCOR, discusses the threefold impact of AI on the (re)insurance industry and the need for rapid integration.
• Nicolas Miallhe, Co-founder and President of The Future Society at Harvard Kennedy School, outlines the state-of-the-art of AI and the convergence of technologies.
• Jennifer Coleman, Senior Risk Manager at SCOR, focuses on AI's risk management implications and applications.
• Will Thorne, Innovation Leader at The Channel Syndicate, moderates a round table on the changes in the sector.
• Laurent Alexandre, CEO of DNA Vision, emphasizes the need for insurers to evolve, not just the insurance products.

Conclusion

The integration of AI into the (re)insurance sector is inevitable and will bring about profound changes. While it introduces new risks, it also offers opportunities for innovation, efficiency, and better risk understanding. The key to success lies in timely adaptation, collaboration with AI, and embracing the digital revolution. As the industry moves forward, human judgment, creativity, and accountability will remain central to its evolution.