ERC AI-COMP project
I am the PI of an ERC Advanced Grant on AI and Competition. Max Shafer, Vito Stefano Bramante, and Yann Delaprez are currently working with me with this project. More information will be available on a dedicated page soon.
Algorithms, AI and market outcomes
Artificial Intelligence, Recommender Systems and Competition

AI and policy: what makes AI different?

Experimental Evidence That Conversational Artificial Intelligence Can Steer Consumer Behavior Without Detection

The Algorithmic Advantage: How Reinforcement Learning Generates Rich Communication

Q-learners Can Provably Collude in the Iterated Prisoner's Dilemma

Algorithmic Content Selection and the Impact of User Disengagement
Algorithmic collusion: genuine and spurious
Algorithmic collusion with imperfect monitoring
Protecting consumers from collusive prices due to AI
E Calvano, G Calzolari, V Denicolò, JE Harrington Jr, S Pastorello
Science 370 (6520), 1040-1042
Artificial Intelligence, Algorithmic Pricing and Collusion
Algorithmic Pricing and Collusion: what implications for competition policy
Can we trust the algorithms that recommend products online? A theory of biased advice
White papers, commentaries, tutorials
(tutorial) Economics of Recommender Systems
Artificial intelligence recommendations: evidence, issues, and policy
Market power and competition in digital markets
Merger Policy in Digital Markets: An Ex-Post Assessment
Strategic differentiation by Business models: Free-to-Air and Pay-TV
Market Power, Competition and Innovation in digital markets: A survey
Incumbency advantage and its value
The Impact of Consumer Multi-Homing on Advertising Markets and Media Competition
Either or both competition: a "two-sided" theory of advertising with overlapping viewership
Issues in online advertising and competition policy: a two-sided market perspective
Dynamic Incentives
A Theory of Community Formation and Social Hierarchy