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Showing 1–9 of 9 results
Advanced filters: Author: Cass R. Sunstein Clear advanced filters
  • Sharot and Sunstein propose a framework of information-seeking, whereby individuals decide to seek or avoid information based on combined estimates of the potential impact of information on their action, affect and cognition.

    • Tali Sharot
    • Cass R. Sunstein
    Reviews
    Nature Human Behaviour
    Volume: 4, P: 14-19
  • Increasing the uptake of green energy use by households and businesses is a key step toward reducing environmental harm and combating climate change. In a new paper, Liebe et al.1 show that a non-monetary intervention can have massive effects on green energy consumption, leading to substantial reductions in carbon emissions.

    • Cass R. Sunstein
    News & Views
    Nature Human Behaviour
    Volume: 5, P: 548-549
  • Nudges are tools to achieve behavioural change. To evaluate nudges, it is essential to consider not only their overall welfare effects but also their distributional effects. Some nudges will not help, and might hurt, identifiable groups. More targeted, personalized nudging may be needed to maximize social welfare and promote distributive justice.

    • Cass R. Sunstein
    Comments & Opinion
    Nature Human Behaviour
    Volume: 6, P: 9-10
  • Algorithms are designed to learn user preferences by observing user behaviour. This causes algorithms to fail to reflect user preferences when psychological biases affect user decision making. For algorithms to enhance social welfare, algorithm design needs to be psychologically informed.

    • Carey K. Morewedge
    • Sendhil Mullainathan
    • Jens O. Ludwig
    Comments & Opinion
    Nature Human Behaviour
    Volume: 7, P: 1822-1824
  • Many consumers suffer from inadequate information and behavioral biases, which can produce internalities, understood as costs that people impose on their future selves. In these circumstances, “Choice Engines,” powered by Artificial Intelligence (AI), might produce significant savings in terms of money, health, safety, or time. Different consumers care about different things, of course, which is a reason to insist on a high degree of freedom of choice, and a high degree of personalization. Nonetheless, it is important to emphasize that Choice Engines and AI might be enlisted by self-interested actors, who might exploit inadequate information or behavioral biases, and thus reduce consumer welfare. It is also important to emphasize that Choice Engines and AI might show behavioral biases, perhaps the same ones that human beings are known to show, perhaps others that have not been named yet, or perhaps new ones, not shown by human beings, that cannot be anticipated.

    • Cass R. Sunstein
    Comments & OpinionOpen Access
    Humanities and Social Sciences Communications
    Volume: 11, P: 1-4
  • Lorenz-Spreen et al. argue that effective web governance is needed to empower individuals online. They describe two classes of behavioural interventions—nudging and boosting— that can help redesign online environments for informed and autonomous choice

    • Philipp Lorenz-Spreen
    • Stephan Lewandowsky
    • Ralph Hertwig
    Reviews
    Nature Human Behaviour
    Volume: 4, P: 1102-1109
  • Forty-three experts highlight some key insights from the social and behavioural sciences for effective response to the COVID-19 pandemic and point out important gaps researchers should move quickly to fill in the coming weeks and months.

    • Jay J. Van Bavel
    • Katherine Baicker
    • Robb Willer
    Reviews
    Nature Human Behaviour
    Volume: 4, P: 460-471
  • Thirty-two experts propose ten considerations for managing the de-escalation of COVID-19 containment measures while still maintaining public adherence to social and physical distancing.

    • Katrine Bach Habersaat
    • Cornelia Betsch
    • Robb Butler
    Reviews
    Nature Human Behaviour
    Volume: 4, P: 677-687