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Cass R. Sunstein

Bio: Cass R. Sunstein is an academic researcher from Harvard University. The author has contributed to research in topics: Supreme court & Constitution. The author has an hindex of 117, co-authored 787 publications receiving 57639 citations. Previous affiliations of Cass R. Sunstein include Brigham Young University & Indiana University.


Papers
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Journal ArticleDOI
TL;DR: In case of doubt, follow the precautionary principle; until safety is established, be cautious; do not require unambiguous evidence.
Abstract: Many nations have shown mounting interest in a simple idea for the regulation of risk: In case of doubt, follow the precautionary principle (O'Riordan T, Cameron J eds. Interpreting the precautionary principle, 2002). Avoid steps that will create a risk of harm. Until safety is established, be cautious; do not require unambiguous evidence. In a catchphrase: Better safe than sorry.

23 citations

Journal ArticleDOI
TL;DR: In this paper, the authors suggest that in principle, a cap-and-trade system should allocate permits on a per capita basis, with the idea that each person should begin with the same entitlement, regardless of place of birth.
Abstract: Many people believe that the problem of climate change would be best handled by an international agreement that includes a system of "cap-andtrade. "Such a system would impose a global cap on greenhouse gas emissions and allocate tradable emissions permits. This proposal raises a crucial but insufficiently explored question: How should such permits be allocated? It is tempting to suggest that in principle, a cap-and-trade system should allocate permits on a per capita basis, with the idea that each person should begin with the same entitlement, regardless of place of birth. This idea, pressed by many analysts and by the developing world, can be defended on grounds of either welfare or fairness. But on both grounds, per capita allocations run into serious objections. If fairness is understood in terms of equally or proportionally sharing the burdens of a climate treaty, per capita allocations are not fair because they do not take into account all the effects of such a treaty. Any agreement to reduce greenhouse gas emissions will give more benefits to some nations than to others, and will impose more costs on some nations than on others; in these circumstances, per capita emissions rights give the appearance but not the reality of fairness. For those who seek redistribution to those who need help, on grounds of either welfare or fairness, per capita allocations of emissions rights are at best a mixed blessing. Some rich nations are highly populated, and some poor nations have small populations; there is essentially no relationship between size of population and

23 citations

Journal ArticleDOI
TL;DR: Exposing people to a new policy through implementation could increase public support for that policy by increasing perceived effectiveness and by prompting conversations about the policy.
Abstract: Understanding factors that influence public support for “nudging” policies, like pictorial cigarette pack warnings, may offer insight about how to increase such support. We sought to examine factors that influence smokers’ support for requiring pictorial warnings on cigarette packs. In 2014 and 2015, we randomly assigned 2149 adult US smokers to receive either pictorial warnings or text-only warnings on their cigarette packs for 4 weeks. The outcome examined in the current study was support for a policy requiring pictorial warnings on cigarette packs in the US. Support for pictorial warnings was high at baseline (mean: 3.2 out of 4). Exposure to pictorial warnings increased policy support at week 4 (β = .05, p = .03). This effect was explained by increases in perceived message effectiveness (p < .001) and reported conversations about policy support (p < .001). Message reactance (i.e., an oppositional reaction to the warning) partially diminished the impact of pictorial warnings on policy support (p < .001). Exposing people to a new policy through implementation could increase public support for that policy by increasing perceived effectiveness and by prompting conversations about the policy. Reactance may partially weaken the effect of policy exposure on public support.

23 citations

01 Jan 2019
TL;DR: Existing research on bail decisions casts a new light on how to think about the risk that algorithms will discriminate on the basis of race, and suggests that well-designed algorithms should be able to avoid cognitive biases of many kinds.
Abstract: A great deal of theoretical work explores the possibility that algorithms may be biased in one or another respect. But for purposes of law and policy, some of the most important empirical research finds exactly the opposite. In the context of bail decisions, an algorithm designed to predict flight risk does much better than human judges, in large part because the latter place an excessive emphasis on the current offense. Current Offense Bias, as we might call it, is best seen as a cousin of “availability bias,” a well-known source of mistaken probability judgments. The broader lesson is that well-designed algorithms should be able to avoid cognitive biases of many kinds. Existing research on bail decisions also casts a new light on how to think about the risk that algorithms will discriminate on the basis of race (or other factors). Algorithms can easily be designed so as to avoid taking account of race (or other factors). They can also be constrained so as to produce whatever kind of racial balance is sought, and thus to reveal tradeoffs among various social values.

23 citations


Cited by
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Christopher M. Bishop1
01 Jan 2006
TL;DR: Probability distributions of linear models for regression and classification are given in this article, along with a discussion of combining models and combining models in the context of machine learning and classification.
Abstract: Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models.

10,141 citations

Journal ArticleDOI
TL;DR: Interventions and policies to change behaviour can be usefully characterised by means of a BCW comprising: a 'behaviour system' at the hub, encircled by intervention functions and then by policy categories, and a new framework aimed at overcoming their limitations is developed.
Abstract: Improving the design and implementation of evidence-based practice depends on successful behaviour change interventions. This requires an appropriate method for characterising interventions and linking them to an analysis of the targeted behaviour. There exists a plethora of frameworks of behaviour change interventions, but it is not clear how well they serve this purpose. This paper evaluates these frameworks, and develops and evaluates a new framework aimed at overcoming their limitations. A systematic search of electronic databases and consultation with behaviour change experts were used to identify frameworks of behaviour change interventions. These were evaluated according to three criteria: comprehensiveness, coherence, and a clear link to an overarching model of behaviour. A new framework was developed to meet these criteria. The reliability with which it could be applied was examined in two domains of behaviour change: tobacco control and obesity. Nineteen frameworks were identified covering nine intervention functions and seven policy categories that could enable those interventions. None of the frameworks reviewed covered the full range of intervention functions or policies, and only a minority met the criteria of coherence or linkage to a model of behaviour. At the centre of a proposed new framework is a 'behaviour system' involving three essential conditions: capability, opportunity, and motivation (what we term the 'COM-B system'). This forms the hub of a 'behaviour change wheel' (BCW) around which are positioned the nine intervention functions aimed at addressing deficits in one or more of these conditions; around this are placed seven categories of policy that could enable those interventions to occur. The BCW was used reliably to characterise interventions within the English Department of Health's 2010 tobacco control strategy and the National Institute of Health and Clinical Excellence's guidance on reducing obesity. Interventions and policies to change behaviour can be usefully characterised by means of a BCW comprising: a 'behaviour system' at the hub, encircled by intervention functions and then by policy categories. Research is needed to establish how far the BCW can lead to more efficient design of effective interventions.

6,692 citations

Journal ArticleDOI
TL;DR: The authors argue that norms evolve in a three-stage "life cycle" of emergence, cascades, and internalization, and that each stage is governed by different motives, mechanisms, and behavioral logics.
Abstract: Norms have never been absent from the study of international politics, but the sweeping “ideational turn” in the 1980s and 1990s brought them back as a central theoretical concern in the field. Much theorizing about norms has focused on how they create social structure, standards of appropriateness, and stability in international politics. Recent empirical research on norms, in contrast, has examined their role in creating political change, but change processes have been less well-theorized. We induce from this research a variety of theoretical arguments and testable hypotheses about the role of norms in political change. We argue that norms evolve in a three-stage “life cycle” of emergence, “norm cascades,” and internalization, and that each stage is governed by different motives, mechanisms, and behavioral logics. We also highlight the rational and strategic nature of many social construction processes and argue that theoretical progress will only be made by placing attention on the connections between norms and rationality rather than by opposing the two.

5,761 citations

Posted Content
TL;DR: It is shown that emotional reactions to risky situations often diverge from cognitive assessments of those risks, and when such divergence occurs, emotional reactions often drive behavior.
Abstract: Virtually all current theories of choice under risk or uncertainty are cognitive and consequentialist. They assume that people assess the desirability and likelihood of possible outcomes of choice alternatives and integrate this information through some type of expectation-based calculus to arrive at decision. The authors propose an alternative theoretical perspective, the risk-as-feelings hypothesis, that highlights the role of affect experienced at the moment of decision making. Drawing on research from clinical, physiological, and other subfield of psychology, they show that emotional reactions to risky situations often drive behavior. The risk-as-feelings hypothesis is shown to explain a wide range of phenomena that have resisted interpretation in cognitive-consequentialist terms.

4,901 citations

Journal ArticleDOI
TL;DR: Determinants and consequences of accessibility help explain the central results of prospect theory, framing effects, the heuristic process of attribute substitution, and the characteristic biases that result from the substitution of nonextensional for extensional attributes.
Abstract: Early studies of intuitive judgment and decision making conducted with the late Amos Tversky are reviewed in the context of two related concepts: an analysis of accessibility, the ease with which thoughts come to mind; a distinction between effortless intuition and deliberate reasoning. Intuitive thoughts, like percepts, are highly accessible. Determinants and consequences of accessibility help explain the central results of prospect theory, framing effects, the heuristic process of attribute substitution, and the characteristic biases that result from the substitution of nonextensional for extensional attributes. Variations in the accessibility of rules explain the occasional corrections of intuitive judgments. The study of biases is compatible with a view of intuitive thinking and decision making as generally skilled and successful.

4,802 citations