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Machines have at times equalized physical strength by substituting for human effort, and at other times amplified these differences. Artificial intelligence (AI) may likewise narrow or widen disparities in cognitive ability. Recent evidence…

General Economics · Economics 2025-12-04 Maria Bigoni , Andrea Ichino , Aldo Rustichini , Giulio Zanella

Prior work has provided strong evidence that, within organizational settings, teams that bring a diversity of information and perspectives to a task are more effective than teams that do not. If this form of informational diversity confers…

Computer Science and Game Theory · Computer Science 2023-01-31 Hoda Heidari , Solon Barocas , Jon Kleinberg , Karen Levy

Human behavioural patterns exhibit selfish or competitive, as well as selfless or altruistic tendencies, both of which have demonstrable effects on human social and economic activity. In behavioural economics, such effects have…

Multiagent Systems · Computer Science 2021-04-28 Jan E. Snellman , Gerardo Iñiguez , János Kertész , R. A. Barrio , Kimmo K. Kaski

Autonomous agents that act with each other on behalf of humans are becoming more common in many social domains, such as customer service, transportation, and health care. In such social situations greedy strategies can reduce the positive…

Multiagent Systems · Computer Science 2022-12-02 Jory Schossau , Bamshad Shirmohammadi , Arend Hintze

The landscape of digital games is segregated by player ability. For example, sighted players have a multitude of highly visual games at their disposal, while blind players may choose from a variety of audio games. Attempts at improving…

Human-Computer Interaction · Computer Science 2021-01-15 David Gonçalves , André Rodrigues , Mike L. Richardson , Alexandra A. de Sousa , Michael J. Proulx , Tiago Guerreiro

In a generalized tournament, players may have an arbitrary number of matches against each other and the outcome of the games is measured on a cardinal scale with a lower and upper bound. An axiomatic approach is applied to the problem of…

Computer Science and Game Theory · Computer Science 2019-06-20 László Csató

Skills are temporal abstractions that are intended to improve reinforcement learning (RL) performance through hierarchical RL. Despite our intuition about the properties of an environment that make skills useful, a precise characterization…

Machine Learning · Computer Science 2024-06-13 Zhening Li , Gabriel Poesia , Armando Solar-Lezama

Classifiers that achieve demographic balance by explicitly using protected attributes such as race or gender are often politically or culturally controversial due to their lack of individual fairness, i.e. individuals with similar…

Machine Learning · Statistics 2019-09-15 Guy W. Cole , Sinead A. Williamson

In many areas of engineering and sciences, decision rules and control strategies are usually designed based on nominal values of relevant system parameters. To ensure that a control strategy or decision rule will work properly when the…

Probability · Mathematics 2020-06-16 Xinjia Chen

In real-world scenarios, individuals often cooperate for mutual benefit. However, differences in wealth can lead to varying outcomes for similar actions. In complex social networks, individuals' choices are also influenced by their…

Physics and Society · Physics 2024-07-08 Yunhao Ding , Chunyan Zhang , Jianlei Zhang

Segregation is widespread in all realms of human society. Several influential studies have argued that intolerance is not a prerequisite for a segregated society, and that segregation can arise even when people generally prefer diversity.…

Social and Information Networks · Computer Science 2016-10-27 Milena Tsvetkova , Olof Nilsson , Camilla Öhman , Lovisa Sumpter , David Sumpter

In this paper, the total payoff of each agent is regulated to reduce the heterogeneity of the distribution of the total payoffs. It is found there is an optimal regulation strength where the fraction of cooperation is prominently promoted,…

Physics and Society · Physics 2015-05-13 Luo-Luo Jiang , Ming Zhao , Han-Xin Yang , Joseph Wakeling , Bing-Hong Wang , Tao Zhou

As the use of artificial intelligence (AI) in high-stakes decision-making increases, the ability to contest such decisions is being recognised in AI ethics guidelines as an important safeguard for individuals. Yet, there is little guidance…

Human-Computer Interaction · Computer Science 2021-02-23 Henrietta Lyons , Eduardo Velloso , Tim Miller

How do socioeconomically unequal screening practices impact access to elite firms and what policies might reduce inequality? Using personnel data from elite U.S. and European multinational corporations recruiting from an elite Indian…

General Economics · Economics 2024-05-24 Soumitra Shukla

Algorithms are increasingly used to aid, or in some cases supplant, human decision-making, particularly for decisions that hinge on predictions. As a result, two additional features in addition to prediction quality have generated interest:…

Machine Learning · Computer Science 2019-06-04 Jon Kleinberg , Sendhil Mullainathan

Motivated by school admissions, this paper studies screening in a population with both advantaged and disadvantaged agents. A school is interested in admitting the most skilled students, but relies on imperfect test scores that reflect both…

Computer Science and Game Theory · Computer Science 2023-05-30 Hedyeh Beyhaghi , Modibo K. Camara , Jason Hartline , Aleck Johnsen , Sheng Long

We study a version of the minority game in which one agent is allowed to join the game in a random fashion. It is shown that in the crowded regime, i.e., for small values of the memory size $m$ of the agents in the population, the agent…

Statistical Mechanics · Physics 2009-11-10 K. F. Yip , T. S. Lo , P. M. Hui , N. F. Johnson

The study compares the competitiveness of three Korean groups raised in different institutional environments: South Korea, North Korea, and China. Laboratory experiments reveal that North Korean refugees are less likely to participate in…

General Economics · Economics 2023-08-28 Syngjoo Choi , Byung-Yeon Kim , Jungmin Lee , Sokbae Lee

We systematically investigate the effect heterogeneity of job search programmes for unemployed workers. To investigate possibly heterogeneous employment effects, we combine non-experimental causal empirical models with Lasso-type…

Econometrics · Economics 2020-10-13 Michael Knaus , Michael Lechner , Anthony Strittmatter

Humans increasingly delegate decisions to language models, yet whether these systems reproduce or reshape human patterns of discrimination remains unclear. Here we run a large-scale study to analyse whether language models use demographic…

Computers and Society · Computer Science 2026-05-15 Ze Wang , Guobin Shen , Michael Thaler