Data-intensive Innovation and the State: Evidence from AI Firms in China
Speaker: David Yang (Harvard) Title: Data-intensive Innovation and the State: Evidence from AI Firms in China Abstract: Data-intensive technologies such as AI may reshape the modern world. We propose that two features of data interact to shape innovation in data-intensive economies: first, states are key collectors and repositories of data; second, data is a non-rival input in innovation. We document the importance of state-collected data for innovation using comprehensive data on Chinese facial recognition AI firms and government contracts. […]
Gentle Measurement of Quantum States and Differential Privacy
CMSA 20 Garden Street, Cambridge, MA, United StatesSpeaker: Scott Aaronson (University of Texas at Austin) Title: Gentle Measurement of Quantum States and Differential Privacy Abstract: I'll discuss a recent connection between two seemingly unrelated problems: how to measure a collection of quantum states without damaging them too much ("gentle measurement"), and how to provide statistical data without leaking too much about individuals ("differential privacy," an area of classical […]
A Compact, Logical Approach to Large-Market Analysis
CMSA 20 Garden Street, Cambridge, MA, United StatesSpeaker: Scott Duke Kominers (Harvard) Title: A Compact, Logical Approach to Large-Market Analysis Abstract: In game theory, we often use infinite models to represent "limit" settings, such as markets with a large number of agents or games with a long time horizon. Yet many game-theoretic models incorporate finiteness assumptions that, while introduced for simplicity, play a real role in the analysis. Here, we show […]