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Bias

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Full-Text Articles in Social and Behavioral Sciences

The Psychology Of Science Denialism And Lessons For Public Health Authorities, Brenna Moreno, Molly J. Walker Wilson Jan 2023

The Psychology Of Science Denialism And Lessons For Public Health Authorities, Brenna Moreno, Molly J. Walker Wilson

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As it wreaked tragedy on the world, the outbreak of COVID-19 helped expose a pandemic of a different kind, one steeped in distrust and contrarianism. This movement, termed science denialism, has been lurking and undermining public health efforts for decades. Specifically, it is “the employment of rhetorical arguments to give the appearance of legitimate debate where there is none, an approach that has the ultimate goal of rejecting a proposition on which a scientific consensus exists.” Unlike skepticism, which is “doubt as to the truth of something” and works to progress both science and society, denialism is characterized by individuals’ …

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Administrative Law In The Automated State, Cary Coglianese Jan 2021

Administrative Law In The Automated State, Cary Coglianese

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In the future, administrative agencies will rely increasingly on digital automation powered by machine learning algorithms. Can U.S. administrative law accommodate such a future? Not only might a highly automated state readily meet longstanding administrative law principles, but the responsible use of machine learning algorithms might perform even better than the status quo in terms of fulfilling administrative law’s core values of expert decision-making and democratic accountability. Algorithmic governance clearly promises more accurate, data-driven decisions. Moreover, due to their mathematical properties, algorithms might well prove to be more faithful agents of democratic institutions. Yet even if an automated state were …

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In-Group Bias And The Police: Evidence From Award Nominations, Nayoung Rim, Roman G. Rivera, Bocar A. Ba Oct 2019

In-Group Bias And The Police: Evidence From Award Nominations, Nayoung Rim, Roman G. Rivera, Bocar A. Ba

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This paper examines the impact of in-group bias on the internal dynamics of a police department. Prior studies have documented racial bias in policing, but little is known about bias against officers due to lack of available data. We construct a novel panel dataset of Chicago Police Department officers, with detailed information on officer characteristics and work productivity. Exploiting quasi-random variation in supervisor assignment, we find that white supervisors are less likely to nominate black officers than white or Hispanic officers. We find weaker evidence that male supervisors are less likely to nominate female officers than male officers. We explore …

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Tightening The Ooda Loop: Police Militarization, Race, And Algorithmic Surveillance, Jeffrey L. Vagle Jan 2016

Tightening The Ooda Loop: Police Militarization, Race, And Algorithmic Surveillance, Jeffrey L. Vagle

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This Article examines the role military automated surveillance and intelligence systems and techniques have supported a self-reinforcing racial bias when used by civilian police departments to enhance predictive policing programs. I will focus on two facets of this problem. First, my research will take an inside-out perspective, studying the role played by advanced military technologies and methods within civilian police departments, and how they have enabled a new focus on deterrence and crime prevention by creating a system of structural surveillance where decision support relies increasingly upon algorithms and automated data analysis tools, and which automates de facto penalization and …

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Transparency Through Insurance: Mandates Dominate Discretion, Tom Baker Jan 2012

Transparency Through Insurance: Mandates Dominate Discretion, Tom Baker

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This chapter describes how liability insurance has contributed to the transparency of the civil justice system. The chapter makes three main points. First, much of what we know about the empirics of the civil justice system comes from access to liability insurance data and personnel. Second, as long as access to liability insurance data and personnel depends on the discretion of liability insurance organizations, this knowledge will be incomplete and, most likely, biased in favor of the public policy agenda of the organizations providing discretionary access to the data. Third, although mandatory disclosure of liability insurance data would improve transparency, …

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The Creativity Effect (With C. Sprigman), Christopher J. Buccafusco Jan 2011

The Creativity Effect (With C. Sprigman), Christopher J. Buccafusco

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No abstract provided.

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Do Judges Vary In Their Treatment Of Race?, David S. Abrams, Marianne Bertrand, Sendhil Mullainathan Sep 2010

Do Judges Vary In Their Treatment Of Race?, David S. Abrams, Marianne Bertrand, Sendhil Mullainathan

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Are minorities treated differently by the legal system? Systematic racial differences in case characteristics, many unobservable, make this a difficult question to answer directly. In this paper, we estimate whether judges differ from each other in how they sentence minorities, avoiding potential bias from unobservable case characteristics by exploiting the random assignment of cases to judges. We measure the between-judge variation in the difference in incarceration rates and sentence lengths between African-American and White defendants. We perform a Monte Carlo simulation in order to explicitly construct the appropriate counterfactual, where race does not influence judicial sentencing. In our data set, …

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