Economics of Artificial Intelligence
Specialize in Artificial Intelligence and its impact on the economy.
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This course brings students to the forefront of Economics of AI research, with a focus on competition policy and the key challenges facing researchers and policymakers in this rapidly evolving field.
Faculty
Learning algorithms' impact on digital market competition is crucial for policy and academia
This course would be ideal for:
- Advanced graduate students looking for a dissertation topic.
- Practitioners seeking to catch up with state-of-the-art academic research on digital markets.
Develop insights into the evolving landscape of AI and its economic implications
By the end of this course, participants will have:
- Understood the frontier of research on the Economics of Artificial Intelligence.
- Analyzed the impact of AI and learning algorithms on competition in digital markets.
- Explored competition policy in the context of AI developments.
- Identified and discussed imminent challenges in AI for economic research and policymakers.
- Critically evaluate current academic and policy approaches to AI economics.
Syllabus for Economics of AI
What is AI? Concepts and tools
Economics of AI: a helicopter tour
- AI as a general purpose technology.
- Effect of automation and the labor share.
- AI and marketplaces.
Competing and colluding pricing algorithms
- Theoretical and experimental results.
- Pricing algorithms in the wild.
Shaping consumer choices: the economics of recommender systems
- Case study: Spotify playlists
Automating bidding in auctions
- Collusion.
- Optimal Auction design.
Algorithms and public policy
- The EU initiatives.
- How can Economics inform the regulatory debate?
- Algorithmic discrimination.
Why join our Summer School?
All BSE Summer courses are taught to the same high standard as our Master’s programs. Join us to:
Network with like-minded peers.
Study in vibrant Barcelona.
Learn from world-renowned faculty.
Admissions and requirements
Please make sure you meet the following admissions criteria before you apply.
Requirements
- A strong background in Economics or a field closely related to the course topic (Statistics, Law, etc.).
- Postgraduate degree or current Master’s/PhD studies related to the course topic.
- Relevant professional experience.
Schedule
Here is your schedule for this edition of BSE Digital Economy Summer School, Economics of Artificial Intelligence course.
Credit transfers (ECTS)
To be eligible for credit transfer, students must complete a final project.
Students will deliver a short final project one week after the summer school finishes. It will consist in solving a final problem that will include the practical and empirical issues worked on in class.
Consult the Summer School Admissions page for more information about this option.
Certificate of Attendance
Participants who attend more than 80% of the course will receive a Certificate of Attendance, free of charge.
Fees for 2025
Multiple course discounts are available, consult our fees and discounts to learn more. Fees for courses in other Summer School programs may vary
FAQ’s
Need more information? Check out our most commonly asked questions
Is accommodation included in the course fee?
Unfortunately, accommodation is not included in the course fee. Participants are responsible for finding accommodation.
Are the sessions recorded?
Sessions will NOT be recorded; however, the materials provided by the professor will be available for a month after the course has finished.
How much does each Summer School course cost?
Fees for each course may vary. Please consult each course page for accurate information.
Are there any discounts available?
Yes, BSE offers a variety of discounts on its Summer School courses. See more information about available discounts or request a personalized discount quote by email.
Can I take more than one course?
Yes! you can combine any of the Summer School courses (schedule permitting). See the full course calendar.
Are there any evening activities during the course?
Yes, a social dinner is held once a week for all participants, and it is free to attend.
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