activity
20092026
most citedOpinion fluctuations and disagreement in social networks

378 citations · 464 across the 14 of their papers we have counts for

collaborators

16 papers

econ.TH2026

How AI Aggregation Affects Knowledge

Daron Acemoglu, Tianyi Lin, Asuman Ozdaglar +1

Artificial intelligence (AI) changes social learning when aggregated outputs become training data for future predictions. To study this, we extend the DeGroot model by introducing…

cs.CY2026★ 2 cited

International AI Safety Report 2026

Yoshua Bengio, Stephen Clare, Carina Prunkl +89

The International AI Safety Report 2026 synthesises the current scientific evidence on the capabilities, emerging risks, and safety of general-purpose AI systems. The report series…

cs.CY2025★ 1 cited

International AI Safety Report 2025: Second Key Update: Technical Safeguards and Risk Management

Yoshua Bengio, Stephen Clare, Carina Prunkl +66

This second update to the 2025 International AI Safety Report assesses new developments in general-purpose AI risk management over the past year. It examines how researchers, publi…

cs.CY2025★ 3 cited

International AI Safety Report 2025: First Key Update: Capabilities and Risk Implications

Yoshua Bengio, Stephen Clare, Carina Prunkl +70

Since the publication of the first International AI Safety Report, AI capabilities have continued to improve across key domains. New training techniques that teach AI systems to re…

cs.HC2025★ 2 cited

Wikipedia Contributions in the Wake of ChatGPT

Liang Lyu, James Siderius, Hannah Li +3

How has Wikipedia activity changed for articles with content similar to ChatGPT following its introduction? We estimate the impact using differences-in-differences models, with dis…

cs.CY2025★ 15 cited

International AI Safety Report

Yoshua Bengio, Sören Mindermann, Daniel Privitera +93

The first International AI Safety Report comprehensively synthesizes the current evidence on the capabilities, risks, and safety of advanced AI systems. The report was mandated by…

cs.CY2024★ 6 cited

The impact of generative artificial intelligence on socioeconomic inequalities and policy making

Valerio Capraro, Austin Lentsch, Daron Acemoglu +28

Generative artificial intelligence has the potential to both exacerbate and ameliorate existing socioeconomic inequalities. In this article, we provide a state-of-the-art interdisc…

cs.SI2023

Learning, Diversity and Adaptation in Changing Environments: The Role of Weak Links

Daron Acemoglu, Asuman Ozdaglar, Sarath Pattathil

Adaptation to dynamic conditions requires a certain degree of diversity. If all agents take the best current action, learning that the underlying state has changed and behavior sho…

econ.GN2022★ 34 cited

The Rise of Age-Friendly Jobs

Daron Acemoglu, Nicolaj Søndergaard Mühlbach, Andrew J. Scott

In 1990, one in five U.S. workers were aged over 50 years whereas today it is one in three. One possible explanation for this is that occupations have become more accommodating to…

math.OC2021

Lockdown interventions in SIR model: Is the reproduction number the right control variable?

Leonardo Cianfanelli, Francesca Parise, Daron Acemoglu +2

The recent COVID-19 pandemic highlighted the need of non-pharmaceutical interventions in the first stages of a pandemic. Among these, lockdown policies proved unavoidable yet extre…

cs.GT2016

Informational Braess' Paradox: The Effect of Information on Traffic Congestion

Daron Acemoglu, Ali Makhdoumi, Azarakhsh Malekian +1

To systematically study the implications of additional information about routes provided to certain users (e.g., via GPS-based route guidance systems), we introduce a new class of…

eess.SY2012

Robust Distributed Routing in Dynamical Networks with Cascading Failures

Giacomo Como, Ketan Savla, Daron Acemoglu +2

Robustness of routing policies for networks is a central problem which is gaining increased attention with a growing awareness to safeguard critical infrastructure networks against…

eess.SY2011★ 5 cited

Robust Distributed Routing in Dynamical Flow Networks - Part II: Strong Resilience, Equilibrium Selection and Cascaded Failures

Giacomo Como, Ketan Savla, Daron Acemoglu +2

Strong resilience properties of dynamical flow networks are analyzed for distributed routing policies. The latter are characterized by the property that the way the inflow at a non…

math.DS2011

Stability Analysis of Transportation Networks with Multiscale Driver Decisions

Giacomo Como, Ketan Savla, Daron Acemoglu +2

Stability of Wardrop equilibria is analyzed for dynamical transportation networks in which the drivers' route choices are influenced by information at multiple temporal and spatial…

cs.SI2010★ 378 cited

Opinion fluctuations and disagreement in social networks

Daron Acemoglu, Giacomo Como, Fabio Fagnani +1

We study a tractable opinion dynamics model that generates long-run disagreements and persistent opinion fluctuations. Our model involves an inhomogeneous stochastic gossip process…

cs.IT2009★ 18 cited

Spread of Misinformation in Social Networks

Daron Acemoglu, Asuman Ozdaglar, Ali ParandehGheibi

We provide a model to investigate the tension between information aggregation and spread of misinformation in large societies (conceptualized as networks of agents communicating wi…