The Invisible Hand of Prediction
- Speaker
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Moritz Hardt, Ph.D.Director Social Foundations of Computation, Max Planck Institute
Presidential Lectures are a series of free public colloquia spotlighting groundbreaking research across four themes: neuroscience and autism science, physics, biology, and mathematics and computer science. These curated, high-level scientific talks feature leading scientists and mathematicians and are designed to foster discussion and drive discovery within the New York City research community. We invite those interested in these topics to join us for this weekly lecture series.
Algorithmic predictions steer markets, drive consumption, shape communities and alter life trajectories. However, the theory and practice of machine learning have long neglected the often-invisible causal forces of prediction. A recent conceptual framework, called performative prediction, draws attention to the fundamental difference between learning from a population and steering a population through predictions.
In this lecture, after covering some emerging insights on performative prediction, Moritz Hardt will turn to an application of performativity to the question of power in digital economies. Traditional economic concepts struggle with identifying anti-competitive patterns in digital platforms, not least due to the difficulty of defining the market. Next, he will introduce the notion of performative power that sidesteps the complexity of market definition and directly measures how much a firm can benefit from steering consumer behavior. Finally, he will discuss the normative implications of high performative power, its connections to measures of market power in economics, and its relationship to ongoing antitrust debates.
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