麻省理工+数字经济学与人工智能（演讲PPT）-英-56页_7mb

Digital Economics and AI Tutorial Summary

1. Introduction

The tutorial introduces key topics at the intersection of digital economics and artificial intelligence (AI). It is presented by Avi Goldfarb from the University of Toronto and NBER, and Catherine Tucker from MIT and NBER, originally given in September 2023. It covers the evolution of these fields into overlapping areas.

Key Topics

• Changes in market structure and conduct due to digital technology.
• Rethinking copyright design in the digital age.
• Redesigning incentives for innovation and creativity.
• The economics of the commons (public goods).
• The economics of privacy.
• Measuring digitization with policy implications.
• The necessity of analysis tied to stakeholders.

Context

Since 2017, the NBER has spearheaded the "Economics of A.I." initiative. A conference tutorial was held annually (Spring 2021, 2022, 2023) alongside a 2017-2022 series focused on "Digitization".

2. Core Concepts in Digital Economics

Digital technology, defined as the use of bits to represent information, has drastically lowered the costs of storing, computing, and transmitting data. Conventional economics is being adapted to understand these digital transformations. The "aggregation problem"—where empirical analysis struggles to combine many studies due to unclear mechanisms—is central.

Five Distinct Changes in Digital Economics

Goldfarb proposes five key changes enabled by digital technology:

1. Low Search Costs: Reduces costs in finding information, aiming for price decreases, product diversification, and affecting unemployment/vacancy markets. Evidence is mixed.
2. Zero Marginal Costs of Production: Reduces costs of creating information, impacting copyright, media revenues, public goods, and creating new bundling models. This also raises quality issues regarding information abundance.
3. Low Cost of Transportation/Transmission: Information moves easily, making offline options relevant for competition regulation, tax policy, and copyright/privacy. Trust often forms locally despite globalization.
4. Low Cost of Tracking Behavior: Enables price discrimination, personalized advertising, two-sided markets, and concerns about privacy and surveillance. Measurement of advertising effectiveness is possible.
5. Low Cost of Verification: Facilitates branding, reputation systems (e.g., eBay, reviews), user-generated content, and secure payments (especially in emerging markets via blockchain). Verification challenges include bias and manipulation, complicating discrimination and product authenticity.

These five changes form the foundation for understanding the broader impact of AI.

3. The Economics of AI

AI integrates with all five digital changes:

• Enhanced matching via low search costs.
• Copied/created information with zero marginal costs.
• Managed/manufactured goods with AI, potentially affecting trade.
• Increased precision in price discrimination and surveillance, raising privacy concerns.
• Improved/verified information via reputation systems and security measures (e.g., blockchain).

An accompanying book, The Economics of Artificial Intelligence: An Agenda (UChicago Press), compiles relevant literature.

4. AI as a General Purpose Technology (GPT)

Similar to past industrial revolutions, AI is seen as a GPT profoundly affecting multiple areas:

Key Themes

• Economic Growth and Employment: AI's impact on productivity growth, job creation/market disappearance, and inequality is debated. (Margot Note 42)
• Regulation: Balancing innovation with risks like automation, information warfare (propaganda), manipulation, and potential civilizational risks requires careful analysis. (Margot Note 43)

5. Research Focus (NBER Digital Economics and AI Project)

The project, highlighted in a "Next Grant" section (starting around page 45), will address:

1. Platform Regulation: Concerns over large digital platforms' use of data, personalized advertising, and market power.
2. Economic Growth and Productivity: Exploring AI's unique contribution.
3. Work and Workers: Understanding impacts on inequality, labor markets, and remote work.
4. Political Economy: Assessing effects on politics via media and public sentiment.

6. Conclusion

• The field is at an exciting early stage with many questions ahead rather than fully answered ones.
• Ambitious research is encouraged to tackle novel questions.
• The tutorial serves as an introduction to the field's scope and challenges.