Library
Use our library to explore Data & Society's original empirical research and read our expert commentary. Sort by media type, or select one or more topic categories to begin browsing.
Publisher
Title
Date
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blog post
PointsThe Algorithmic Accountability Act is a great first step, and regulators who are tasked with implementing it should take sociotechnical frames into account. "A sociological lens can help illuminate appropriate points of inst... Read on PointsApril 2019 -
video
DatabitesData & Society Fellow Jeanna Matthews speaks about algorithmic accountability and transparency within the context of the criminal justice system. Important decisions in our society are being made evermore frequently by o... Read moreJune 2018 -
blog post
PointsHow will the introduction of AI into the field of medicine affect the doctor-patient relationship? Data & Society Fellow Claudia Haupt identifies some legal questions we should be asking. "I contend that AI will not entire... Read on PointsJune 2018 -
podcast
video
DatabitesIn Algorithms of Oppression, Safiya Umoja Noble challenges the idea that search engines like Google offer an equal playing field for all forms of ideas, identities, and activities. Data discrimination... Read moreMay 2018 -
Resource
Data & SocietyThis primer explores issues of algorithmic accountability, or the process of assigning responsibility for harm when algorithmic decision-making results in discriminatory and inequitable outcomes. Read moreApril 2018 -
podcast
Data & SocietyD&S advisor Claudia Perlich discusses modeling, transparency, and machine learning in a new episode of the Partially Derivative podcast. “One pitfall I see is that it’s easy from a social science perspective to condemn all... Read on Data & SocietyJanuary 2017 -
podcast
video
Data & SocietyAs algorithms increasingly mediate education, employment, consumer credit, and the criminal justice system, how do we measure their impact on our society? Tracing her experiences as a mathematician an... Read moreOctober 2016 -
op-ed
SlateD&S researcher Madeleine Clare Elish discusses the complexities of error in automated systems. Elish argues that the human role in automated systems has become 'the weak link, rather than the point of stability'. We need t... Read on SlateJune 2016 -
blog post
London School of Economics blogD&S Affiliate Seeta Peña Gangadharan discusses how automated systems have transformed the ways in which our data is processed, analyzed, and used by companies that are not held to account for the potential uses of data that... Read on London School of Economics blogApril 2016 -
Academic Article
arXivSuresh VenkatasubramanianSorelle FriedlerPhilip D.F. AdlerCasey FalkGabriel RybeckCarlos E ScheideggerBrandon SmithThe ubiquity and power of machine learning models in society to determine and control an increasing number of real-world decisions presents a challenge. D&S fellow Sorelle Friedler and a team of researchers have developed ... Read on arXivFebruary 2016