59 citations · 192 across the 56 of their papers we have counts for
67 papers
Learning from a Mixture of Information Sources
Nicole Immorlica, Brendan Lucier, Yaroslav Mukhin +2
We often learn from multiple sources that convey information in different ways. How informative is it to know the source of a signal, and how is this informativeness shaped by the…
The Evolution of Digital Search: From Blue Links to Delegated Decision-Making
David M. Rothschild, Nicole Immorlica, Brendan Lucier +2
Digital search is undergoing a fundamental transformation from a human-driven process of discovery to an agent-mediated system of delegated decision-making. In the traditional mode…
Teaming Up with AI: Coordination and Cooperation
Nicole Immorlica, Inbal Talgam-Cohen
Successful diffusion of AI in the workforce hinges on the economic value that AI brings to human endeavors. Bringing AI into the workforce is more than deploying a powerful new tec…
Chaining Tasks, Redefining Work: A Theory of AI Automation
Mert Demirer, John J. Horton, Nicole Immorlica +2
We study the automation and productivity effects of AI when production is a sequence of interdependent steps with a Leontief structure. Each step can be executed manually by labor,…
From Augmentation to Reconstruction: Guiding the AI Disruption to the Good Place
David M. Rothschild, Jake M. Hofman, Markus Mobius +5
Artificial intelligence feels omnipresent, yet the disruption many expect has not fully arrived. The main reason is not model capability, nor even the tools built to harness those…
Subsidizing Sequential Search
Salvador Candelas, Nicole Immorlica, Brendan Lucier
We study markets where firms compete for consumer attention by subsidizing costly product inspection. These subsidies do not change product quality, but they alter the order in whi…
Generalizable Verilog Modeling Framework for Synchronous and Asynchronous Superconducting Pulse-Based Logic Gates
Elisabeth Feng, Robert S. Aviles, Peter A. Beerel
Superconducting Single Flux Quantum (SFQ) logic offers a promising platform for ultra-low-power, high-frequency computing. However, their pulse-based nature poses challenges for sc…
Optimal Selection Using Algorithmic Rankings with Side Information
Kate Donahue, Nicole Immorlica, Brendan Lucier
Motivated by online platforms such as job markets, we study an agent choosing from a list of candidates, each with a hidden quality that determines match value. The agent observes…
Magentic Marketplace: An Open-Source Environment for Studying Agentic Markets
Gagan Bansal, Wenyue Hua, Zezhou Huang +21
As LLM agents advance, they are increasingly mediating economic decisions, ranging from product discovery to transactions, on behalf of users. Such applications promise benefits bu…
Interactions across multiple games: cooperation, corruption, and organizational design
Jonathan Bendor, Lukas Bolte, Nicole Immorlica +1
Teamwork is vital in many settings, and it is socially beneficial for teams to cooperate in some situations (``good games'') and not in others (``bad games;'' e.g., those that allo…
The Agentic Economy
David M. Rothschild, Markus Mobius, Jake M. Hofman +7
Generative AI has transformed human-computer interaction by enabling natural language interfaces and the emergence of autonomous agents capable of acting on users' behalf. While ea…
Eliciting Informed Preferences
Modibo K. Camara, Nicole Immorlica, Brendan Lucier
In many settings -- like market research and social choice -- people may be presented with unfamiliar options. Classical mechanisms may perform poorly because they fail to incentiv…
Shifting Work Patterns with Generative AI
Eleanor Wiske Dillon, Sonia Jaffe, Nicole Immorlica +1
We present evidence from a field experiment across 66 firms and 7,137 knowledge workers. Workers were randomly selected to access a generative AI tool integrated into applications…
Inducing Efficient and Equitable Professional Networks through Link Recommendations
Cynthia Dwork, Chris Hays, Lunjia Hu +2
Professional networks are a key determinant of individuals' labor market outcomes. They may also play a role in either exacerbating or ameliorating inequality of opportunity across…
Flattening Supply Chains: When do Technology Improvements lead to Disintermediation?
S. Nageeb Ali, Nicole Immorlica, Meena Jagadeesan +1
In the digital economy, technological innovations make it cheaper to produce high-quality content. For example, generative AI tools reduce costs for creators who develop content to…
From Fairness to Infinity: Outcome-Indistinguishable (Omni)Prediction in Evolving Graphs
Cynthia Dwork, Chris Hays, Nicole Immorlica +2
Professional networks provide invaluable entree to opportunity through referrals and introductions. A rich literature shows they also serve to entrench and even exacerbate a status…
Generative AI as Economic Agents
Nicole Immorlica, Brendan Lucier, Aleksandrs Slivkins
Traditionally, AI has been modeled within economics as a technology that impacts payoffs by reducing costs or refining information for human agents. Our position is that, in light…
Maximal Procurement under a Budget
Nicole Immorlica, Nicholas Wu, Brendan Lucier
We study the problem of a principal who wants to influence an agent's observable action, subject to an ex-post budget. The agent has a private type determining their cost function.…
Online Algorithms with Limited Data Retention
Nicole Immorlica, Brendan Lucier, Markus Mobius +1
We introduce a model of online algorithms subject to strict constraints on data retention. An online learning algorithm encounters a stream of data points, one per round, generated…
Impact of Decentralized Learning on Player Utilities in Stackelberg Games
Kate Donahue, Nicole Immorlica, Meena Jagadeesan +2
When deployed in the world, a learning agent such as a recommender system or a chatbot often repeatedly interacts with another learning agent (such as a user) over time. In many su…
Clickbait vs. Quality: How Engagement-Based Optimization Shapes the Content Landscape in Online Platforms
Nicole Immorlica, Meena Jagadeesan, Brendan Lucier
Online content platforms commonly use engagement-based optimization when making recommendations. This encourages content creators to invest in quality, but also rewards gaming tric…
Algorithmic Persuasion Through Simulation
Keegan Harris, Nicole Immorlica, Brendan Lucier +1
We study a Bayesian persuasion game where a sender wants to persuade a receiver to take a binary action, such as purchasing a product. The sender is informed about the (real-valued…
Certification Design for a Competitive Market
Andreas A. Haupt, Nicole Immorlica, Brendan Lucier
Motivated by applications such as voluntary carbon markets and educational testing, we consider a market for goods with varying but hidden levels of quality in the presence of a th…
Efficiency in Collective Decision-Making via Quadratic Transfers
Jon X. Eguia, Nicole Immorlica, Steven P. Lalley +3
Consider the following collective choice problem: a group of budget constrained agents must choose one of several alternatives. Is there a budget balanced mechanism that: i) does n…