Program

 

September 12, 2024

5:30-7:30pm: Welcome Reception – Garden of the Associates (Dabney Gardens) - invited speakers and participants only

September 13, 2024

8:30 – 9:00am: Breakfast – Baxter Lecture Hall, Mezzanine

9:00 – 9:15am: Opening Remarks

Caltech and the Division of Humanities and Social Sciences Welcome

Workshop logistics - Michael Alvarez, Beatrice Magistro, Sophie Borwein, Bart Bonikowski, and Peter Loewen

9:15 – 10:45am: Panel 1: Technological Change and Politics – Chair, Beatrice Magistro

Paper 1: 9:15 – 9:40am (15 min presentation + 10 min Q&A)  

 “The Path from Automation to Right-Wing Populism,” Valentina Gonzalez Rostani (Princeton University)

Paper 2: 9:40 – 10:05am (15 min presentation + 10 min Q&A)  

 “Foreign Competition and Technological Attitudes,” Nicole Wu (Hong Kong University)

Paper 3: 10:05 – 10:30am (15 min presentation + 10 min Q&A)  

 “Robots, Foreigners, and Foreign Robots: Policy Responses to Automation and Trade,” Stephen Chaudoin (Harvard University)

General Q&A: 10:30 – 10:45am

10:45 – 11:00 am: Coffee Break

11:00am – 12:05pm: Panel 2: AI, Elections, and Political Communication – Chair, Michael Alvarez

Paper 1: 11:00 – 11:25am (15 min presentation + 10 min Q&A)  

 “Watering Down Watermarks: The Effectiveness of Labeling Deepfakes,” Daniel Schiff and Kaylyn Jackson-Schiff (Purdue University)

Paper 2: 11:25 – 11:50am (15 min presentation + 10 min Q&A)  

 “Synthetic Diversity: Examining the Effects of Ethnic Targeting Using AI-Generated Political Ads,” Morgan Wack (Clemson University)

General Q&A: 11:50am – 12:05pm

12:05 – 2:00pm: Lunch (Baxter North Patio) - invited guests only

2:00 – 3:00pm: Panel 3: The Distributional Effects of Generative AI – Chair, Sophie Borwein

Paper 1: 2:00 – 2:25pm (15 min presentation + 10 min Q&A)  

 “Distributive Conflict in the Age of AI: Theory and Evidence from the Advent of GPTs,” Felipe Balcazar (Yale University)

Paper 2: 2:25 – 2:50pm (15 min presentation + 10 min Q&A)  

 “Who is Afraid of Technological Change?” Tobias Tober (University of Konstanz)

General Q&A: 2:50 – 3:00pm

3:00 – 3:15pm: Coffee Break

3:15 – 4:45pm: Panel 3: The Distributional Effects of Generative AI – Chair, Sophie Borwein

Paper 3: 3:15 – 3:40pm (15 min presentation + 10 min Q&A)  

 “The Uneven Impact of Generative AI on Entrepreneurial Performance,” David Holtz (UC Berkeley)

Paper 4: 3:40 – 4:05pm (15 min presentation + 10 min Q&A)  

 “Rage Against the Machine? Generative AI Use, Subjective Risk, and Policy Preferences,” Matthias Haslberger (University of St. Gallen)

Paper 5: 4:05 – 4:30pm (15 min presentation + 10 min Q&A)  

 “Are Aisha and Darnell Better Civil Servants Than Emily and Greg? Evaluating Racial and Gender Bias in Generative AI-Based Civil Servant Assessments,” Jason Anastasopoulos (University of Georgia)

General Q&A: 4:30 – 4:45pm

5:00-6:30pm: Poster Session and Drinks at The Athenaeum, East Patio - for invited speakers and guests

Paolo Agnolin (Bocconi University)

Chloe Ahn (University of Pennsylvania)

Bhavana Bheem (University of Illinois – Urbana Champaign)

Christopher Dictus (RAND and UVA)

Sanghyun Han (Georgia Tech)

Michael Herndon (UCLA)

Nicolas Lagos (Rutgers)

Mitchell Linegar (Caltech)

Eddie Yang (UCSD)

6:30-9:00pm: Dinner for invited speakers and guests at The Athenaeum, Main Lounge

 

September 14, 2024

8:30 – 9:00am: Breakfast – Baxter Lecture Hall, Mezzanine

9:15 – 10:45am: Panel 4: Public Opinion on AI Regulation – Chair, Bart Bonikowski

Paper 1: 9:15 – 9:40am (15 min presentation + 10 min Q&A)  

 “Balancing Progress and Protection: Do Citizens Want Governments to Shape Technological Adoption?” Aina Gallego (University of Barcelona)

Paper 2: 9:40 – 10:05am (15 min presentation + 10 min Q&A)  

 “How Media Coverage and Elite Communication Shape Public Opinion on AI Regulation,” Shir Raviv (Columbia University)

Paper 3: 10:05 – 10:30am (15 min presentation + 10 min Q&A)

 “The Politics of Using AI in Policy Implementation: Evidence from a Field Experiment,” Yotam Margalit (Tel Aviv University)

General Q&A: 10:30 – 10:45am

10:45 – 11:00 am: Coffee Break

11:00am – 12:30 pm: Panel 5: The Economic and Political Foundations of AI – Chair, Beatrice Magistro

Paper 1: 11:00 – 11:25am (15 min presentation + 10 min Q&A)  

 “From Populism to Platforms: Antitrust Law and the AI Revolution,” Victor Menaldo (University of Washington)

Paper 2: 11:25 – 11:50am (15 min presentation + 10 min Q&A)

“AI and Innovation,” Ethan Bueno de Mesquita (University of Chicago)

Paper 3: 11:50 – 12:15pm (15 min presentation + 10 min Q&A)  

 “Responsible & Trustworthy AI: UK’s Economic Landscape Analysis,” Ramit Debnath (Cambridge University)

General Q&A: 12:15 – 12:30pm

12:30 – 1:30pm: Lunch (Baxter North Patio) - invited guests only

1:30 – 3:00pm: Panel 6: Attitudes Toward AI – Chair, Peter Loewen

Paper 1: 1:30 – 1:55pm (15 min presentation + 10 min Q&A)

 “Attitudes Toward Artificial Intelligence (AI) and Globalization: Common Microfoundations and Political Implications,” Beatrice Magistro, Sophie Borwein,  Michael Alvarez, Bart Bonikowski, and Peter Loewen

Paper 2: 1:55 – 2:20pm (15 min presentation + 10 min Q&A)

 “What If You See It? Workers’ Perceptions of and Reactions to LLMs,” Italo Colantone (Bocconi University)

Paper 3: 2:20 – 2:45pm (15 min presentation + 10 min Q&A)

 “Messaging about Different AI Development Timelines Fails to Change the Public’s Policy Preferences,” Baobao Zhang (Syracuse University)

General Q&A: 2:45 – 3:00pm

3:00 – 3:15pm: Coffee Break

3:15 – 4:15pm: Panel 7: AI & Challenges and Opportunities for Liberal Democracy and Capitalism – Chair, Bart Bonikowski

Paper 1: 3:15 – 3:40pm (15 min presentation + 10 min Q&A)

 “Resilient Democracies,” Carles Boix (Princeton University)

Paper 2: 3:40 – 4:05pm (15 min presentation + 10 min Q&A)

 “Technology and the Future of Capitalism: Attitudes Toward Market Institutions in an AI-Driven Economy,” Stephen Weymouth (Georgetown University)

General Q&A: 4:05 – 4:15pm

4:15 – 4:30pm: Closing Remarks

 

Workshop Organizers: R. Michael Alvarez (Caltech), Bart Bonikowski (NYU), Sophie Borwein (UBC), Peter Loewen (Cornell University), and Beatrice Magistro (Caltech)

For more information, please contact Sabrina Hameister by phone at 626-395-4228 or by email at lcssp@hss.caltech.edu.

Among social scientists, it is widely accepted that technological advancements typically boost productivity, offering widespread benefits. Yet, these innovations often bring about distributional effects. From the 1980s onwards, the rise of automation and new technologies has notably widened income inequality. This shift has favored high-skilled labor by enhancing productivity, while simultaneously marginalizing less-skilled workers. The emergence of generative AI technologies, including advanced tools like ChatGPT, presents fresh challenges and considerations for labor markets. These technologies, capable of executing complex, cognitive tasks across fields such as software development, writing, marketing, and design, represent a significant departure from previous technologies that mainly automated routine tasks. As a result, there is widespread uncertainty about who will benefit and lose from these new AI technologies compared to older ones. Despite this uncertainty, the rapid adoption of these technologies by both workers and firms is undeniable. While politicians have to date had little to say about the distributive consequences of automation and artificial intelligence, it will become increasingly untenable for politicians to ignore their political implications as these technologies fundamentally reshape workplaces.

In light of these developments, our conference seeks to explore a range of questions to better understand the broader implications of this new wave of AI on society and politics.


Navigating the New Frontier: The Political and Economic Implications of AI

Baxter Lecture Hall
California Institute of Technology

September 13-14, 2024