In this episode of the D3 podcast, Professor Chris Berg sits down with Dr Peyman Khezr to discuss the intersection of artificial intelligence, market design, and human behaviour in the context of auctions.
Dr Khezr is the Deputy Director of the RMIT Business Behavioural Lab, a researcher at the RMIT Blockchain Innovation Hub and a Senior Lecturer of Economics at RMIT University. He is an applied microeconomist who applies behavioural and experimental methods in various contexts such as environmental markets, real estate, and the decentralised digital space.
Market design involves structuring markets to ensure they operate efficiently and fairly, and AI has revolutionised this field by enabling more accurate predictions and the processing of vast amounts of data.
Dr Khezr explains that the goals of auction design depend on the context, such as reducing carbon emissions or maximising seller revenue. Technology, particularly the internet and blockchain, has increased the demand for auctions and made them more complex. AI is now being used to simulate market behaviour and learn from real-world patterns, leading to more effective auction design. The research in this field has implications for public policy and can help improve the efficiency and fairness of auctions in various industries.
Takeaways
Chapters
00:00 Introduction
01:20 Market Design
02:32 Optimizing Auctions
05:17 Impact of Technology on Auctions
08:08 The Importance of Auction Design
10:09 Block Allocation Problem
12:27 Fairness in Auctions
14:23 AI in Auction Design
17:29 Learning Patterns in Auctions
21:00 Innovation in Auction Design
26:57 Policy Implications of Auction Design
31:22 Competition between Humans and AI in Auctions
33:12 Conclusion
Episode recorded 8 December 2023
Resources:
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