{"title":"Oxford Technology Law And Policy","description":"\u003cp\u003eDelve into the critical intersection of technology, law, and policy with this insightful Oxford series. Explore the evolving legal landscape shaping our digital world and browse thought-provoking analyses.\u003c\/p\u003e","products":[{"product_id":"ethical-data-science-book-anne-l-washington-9780197693025","title":"Ethical Data Science","description":"Can data science truly serve the public interest? Data-driven analysis shapes many interpersonal, consumer, and cultural experiences yet scientific solutions to social problems routinely stumble. All too often, predictions remain solely a technocratic instrument that sets financial interests against service to humanity. Amidst a growing movement to use science for positive change, Anne L. Washington offers a solution-oriented approach to the ethical challenges of data science.   Ethical Data Science empowers those striving to create predictive data technologies that benefit more people. As one of the first books on public interest technology, it provides a starting point for anyone who wants human values to counterbalance the institutional incentives that drive computational prediction. It argues that data science prediction embeds administrative preferences that often ignore the disenfranchised. The book introduces the prediction supply chain to highlight moral questions alongside the interlocking legal and commercial interests influencing data science. Structured around a typical data science workflow, the book systematically outlines the potential for more nuanced approaches to transforming data into meaningful patterns. Drawing on arts and humanities methods, it encourages readers to think critically about the full human potential of data science step-by-step. Situating data science within multiple layers of effort exposes dependencies while also pinpointing opportunities for research ethics and policy interventions.  This approachable process lays the foundation for broader conversations with a wide range of audiences. Practitioners, academics, students, policy makers, and legislators can all learn how to identify social dynamics in data trends, reflect on ethical questions, and deliberate over solutions. The book proves the limits of predictive technology controlled by the few and calls for more inclusive data science.","brand":"WoB","offers":[{"title":"GB \/ NEW \/ GARDNERS","offer_id":49748188365073,"sku":"NGR9780197693025","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"US \/ NEW \/ INGRAM","offer_id":50999936516369,"sku":"NIN9780197693025","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"US \/ LIKE_NEW \/ SBYB","offer_id":52879630729489,"sku":"CIN0197693024LN","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/0197693024.jpg?v=1772099724"},{"product_id":"artificial-justice-book-tatiana-dancy-9780192846891","title":"Artificial Justice","description":"Imagine that Eric, a young man, has been convicted of a gang-related crime: he was found by police at the scene of a robbery carried out by his friends. The sentencing judge now needs to make a decision. Not knowing whether Eric poses a risk to the public, she turns to an algorithmic risk assessment - a set of rules, developed on the basis of correlations between individual characteristics and criminal activity, which predicts the likelihood of recidivism. Eric is a conscientious citizen, who has never before been in trouble with the law. However, he was raised in foster care, in an area with high rates of crime, poverty, and residential instability- facts to which the algorithm attributes a high risk score. The judge recommends a sentence of the maximum possible duration, with extended post-release supervision.  Why does this matter? The answer most often given is that it matters because of inequality, captured through the language of 'bias' or 'discrimination': the effect of using algorithms can be to exacerbate unjustified differences between people, on the basis of considerations such as race, sex, or socio-economic circumstance. Using a diverse set of case studies, and making clear policy recommendations along the way, Artificial Justice unpacks the reasons that we might have to object to the use of statistical algorithms to allocate the burdens of policy decisions. It argues that these reasons extend beyond egalitarian concerns. Importantly, they include reasons that stem from the value of individual choice - of having the chance to affect what happens to us by choosing appropriately and being equipped to exercise those choices well.  The book explores the substantive reasons that contribute to a picture of what's at stake for individuals when we use statistical algorithms to make decisions about how to treat others, and makes robust policy recommendations about the scope and nature of human-algorithm interaction. Artificial Justice is a compelling and accessible text, which offers a great deal to a wide and interdisciplinary audience of academics, students, and those otherwise interested in learning about algorithmic justice.","brand":"WoB","offers":[{"title":"GB \/ NEW \/ GARDNERS","offer_id":49969601937681,"sku":"NGR9780192846891","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"US \/ NEW \/ INGRAM","offer_id":50999692263697,"sku":"NIN9780192846891","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/0192846892.jpg?v=1776938571"}],"url":"https:\/\/www.worldofbooks.com\/collections\/oxford-technology-law-and-policy-book-series.oembed","provider":"World of Books ","version":"1.0","type":"link"}