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Showing 1–26 of 26 results
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  • People cheat more when they delegate tasks to artificial intelligence, and large language models are more likely than humans to comply with unethical instructions—a risk that can be minimized by introducing prohibitive, task-specific guardrails.

    • Nils Köbis
    • Zoe Rahwan
    • Iyad Rahwan
    ResearchOpen Access
    Nature
    Volume: 646, P: 126-134

  • Algorithms and bots are capable of performing some behaviours at human or super-human levels. Humans, however, tend to trust algorithms less than they trust other humans. The authors find that bots do better than humans at inducing cooperation in certain human–machine interactions, but only if the bots do not disclose their true nature as artificial.

    • Fatimah Ishowo-Oloko
    • Jean-François Bonnefon
    • Talal Rahwan
    Research
    Nature Machine Intelligence
    Volume: 1, P: 517-521

  • There is no shortage of opinions on the impact of artificial intelligence and deep learning. We invited authors of Comment and Perspective articles that we published in roughly the first half of 2019 to look back at the year and give their thoughts on how the issue they wrote about developed.

    • Alexander S. Rich
    • Cynthia Rudin
    • Jack Stilgoe
    Special Features
    Nature Machine Intelligence
    Volume: 2, P: 2-9

  • Governments use AI to speed up welfare decisions, raising concerns about fairness and accuracy. Here, the authors find that welfare claimants are more averse to AI and their preferences less understood by others, suggesting the risk of biased systems that neglect vulnerable voices.

    • Mengchen Dong
    • Jean-François Bonnefon
    • Iyad Rahwan
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-11

  • Recent technological, social, and educational changes are profoundly impacting our work, but what makes labour markets resilient to those labour shocks? Here, the authors show that labour markets resemble ecological systems whose resilience depends critically on the network of skill similarities between different jobs.

    • Esteban Moro
    • Morgan R. Frank
    • Iyad Rahwan
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-8

  • Workers’ skills shape their job opportunities and where they live, thus making skills a vital part of understanding cities and their economy. Modeling urban labor markets as occupation networks, this study finds that more-specific skill information better predicts career mobility and that workers tend toward jobs in cities where their skills are locally rare, thus raising their wages.

    • Morgan R. Frank
    • Esteban Moro
    • Iyad Rahwan
    Research
    Nature Cities
    Volume: 1, P: 94-104

  • The ‘science fiction science’ method simulates future technologies and collects quantitative data on the attitudes and behaviours of participants in various future scenarios, with the aim of predicting impacts of future technologies before they arrive.

    • Iyad Rahwan
    • Azim Shariff
    • Jean-François Bonnefon
    Reviews
    Nature
    Volume: 644, P: 51-58

  • Artificial intelligence tools and systems are increasingly influencing human culture. Brinkmann et al. argue that these ‘intelligent machines’ are transforming the fundamental processes of cultural evolution: variation, transmission and selection.

    • Levin Brinkmann
    • Fabian Baumann
    • Iyad Rahwan
    Reviews
    Nature Human Behaviour
    Volume: 7, P: 1855-1868

  • Collective intelligence is the basis for group success and is frequently supported by information technology. Burton et al. argue that large language models are transforming information access and transmission, presenting both opportunities and challenges for collective intelligence.

    • Jason W. Burton
    • Ezequiel Lopez-Lopez
    • Ralph Hertwig
    Reviews
    Nature Human Behaviour
    Volume: 8, P: 1643-1655

  • Rutherford et al. analyse temporal, network and hierarchical effects to uncover, understand and quantify competing mechanisms of constitutional change worldwide.

    • Alex Rutherford
    • Yonatan Lupu
    • Manuel Garcia-Herranz
    Research
    Nature Human Behaviour
    Volume: 2, P: 592-599

  • A bibliometric analysis of the past and present of AI research suggests a consolidation of research influence. This may present challenges for the exchange of ideas between AI and the social sciences.

    • Morgan R. Frank
    • Dashun Wang
    • Iyad Rahwan
    Reviews
    Nature Machine Intelligence
    Volume: 1, P: 79-85

  • Responses from more than two million people to an internet-based survey of attitudes towards moral dilemmas that might be faced by autonomous vehicles shed light on similarities and variations in ethical preferences among different populations.

    • Edmond Awad
    • Sohan Dsouza
    • Iyad Rahwan
    Research
    Nature
    Volume: 563, P: 59-64

  • When an automated car harms someone, who is blamed by those who hear about it? Over five studies, Awad et al. find that drivers are blamed more than their automated cars when both make mistakes.

    • Edmond Awad
    • Sydney Levine
    • Iyad Rahwan
    Research
    Nature Human Behaviour
    Volume: 4, P: 134-143

  • Understanding the behaviour of the machines powered by artificial intelligence that increasingly mediate our social, cultural, economic and political interactions is essential to our ability to control the actions of these intelligent machines, reap their benefits and minimize their harms.

    • Iyad Rahwan
    • Manuel Cebrian
    • Michael Wellman
    Reviews
    Nature
    Volume: 568, P: 477-486

  • Artificial intelligence is now superior to humans in many fully competitive games, such as Chess, Go, and Poker. Here the authors develop a machine-learning algorithm that can cooperate effectively with humans when cooperation is beneficial but nontrivial, something humans are remarkably good at.

    • Jacob W. Crandall
    • Mayada Oudah
    • Iyad Rahwan
    ResearchOpen Access
    Nature Communications
    Volume: 9, P: 1-12

  • Self-driving cars offer a bright future, but only if the public can overcome the psychological challenges that stand in the way of widespread adoption. We discuss three: ethical dilemmas, overreactions to accidents, and the opacity of the cars’ decision-making algorithms — and propose steps towards addressing them.

    • Azim Shariff
    • Jean-François Bonnefon
    • Iyad Rahwan
    Comments & Opinion
    Nature Human Behaviour
    Volume: 1, P: 694-696

  • To study cognition, researchers have traditionally used laboratory-based experiments, but games offer a valuable alternative: they are intuitive and enjoyable. In this Perspective, Schulz et al. discuss the advantages and drawbacks of games and give recommendations for researchers.

    • Kelsey Allen
    • Franziska Brändle
    • Eric Schulz
    Reviews
    Nature Human Behaviour
    Volume: 8, P: 1035-1043

  • Despite the growing number of initiatives that employ AI to counter corruption, few studies empirically tackle the political and social consequences of embedding AI in anti-corruption efforts. The authors outline the societal and technical challenges that need to be overcome for AI to fight corruption.

    • Nils Köbis
    • Christopher Starke
    • Iyad Rahwan
    Reviews
    Nature Machine Intelligence
    Volume: 4, P: 418-424

  • Köbis et al. outline how artificial intelligence (AI) agents can negatively influence human ethical behaviour. They discuss how this capacity of AI agents can cause problems in the future and put forward a research agenda to gain behavioural insights for better AI oversight.

    • Nils Köbis
    • Jean-François Bonnefon
    • Iyad Rahwan
    Reviews
    Nature Human Behaviour
    Volume: 5, P: 679-685