04001nam a22005055i 4500001001800000003000900018005001700027007001500044008004100059020001800100024003500118050001700153072001600170072001500186072002300201072001500224072001400239100007900253245014800332250001800480264008500498300006700583336002600650337002600676338003600702347002400738490009700762505032300859520177801182650003502960650003202995650002103027650002903048650002003077650004803097650002103145650001803166710003403184773002603218776003603244776003603280776003603316830009703352856004603449978-3-031-53919-0DE-He21320251030112024.0cr nn 008mamaa240502s2024    sz |    s    |||| 0|eng d  a97830315391907 a10.1007/978-3-031-53919-02doi 4aHF54.5-54.56 7aKJQ2bicssc 7aUF2bicssc 7aBUS0830002bisacsh 7aKJQ2thema 7aUF2thema1 aMarabelli, Marco.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut10aAI, Ethics, and Discrimination in Businessh[electronic resource] :bThe DEI Implications of Algorithmic Decision-Making /cby Marco Marabelli.  a1st ed. 2024. 1aCham :bSpringer International Publishing :bImprint: Palgrave Macmillan,c2024.  aXXVII, 233 p. 12 illus., 11 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aPalgrave Studies in Equity, Diversity, Inclusion, and Indigenization in Business,x2731-73150 aChapter 1. Zeros and Ones: Striving to Classify -- Chapter 2. Data Extractions and Extractors -- Chapter 3. Training AI, Computation, and the Environment -- Chapter 4. Discipline, Punish … and Workarounds -- Chapter 5. Institutional Inertia and Corporate Sovereignty -- Chapter 6. New Frontiers of AI and Algorithms.  aThis book takes a historical approach to explore data, algorithms, their use in practice through applications of AI in various settings, and all of the surrounding ethical and DEI implications. Summarizing our current knowledge and highlighting gaps, it offers original examples from empirical research in various settings, such as healthcare, social media, and the GIG economy. The author investigates how systems relying on a binary structure (machines) work in systems that are instead analogic (societies). Further, he examines how underrepresented populations, who have been historically penalized by technologies, can play an active role in the design of automated systems, with a specific focus on the US legal and social system. One issue is that main tasks of machines concern classification, which, while efficient for speeding up decision-making processes, are inherently biased. Ultimately, this work advocates for ethical design and responsible implementation and deployment of technology in organizations and society through through government-sponsored social justice, in contrast with free market policies. This interdisciplinary text contributes to the timely and relevant debate on algorithmic fairness, biases, and potential discriminations. It will appeal to researchers in business ethics and information systems while building on theories from anthropology, psychology, sociology, management, marketing, and economics. Marco Marabelli is a Professor of Computer Information Systems at Bentley University, USA. His research focuses on the ethical and DEI implications of the use of emerging technologies in organizations and society and on the historical and legal aspects concerning social injustice associated with the use of artificial intelligence. 0aBusiness information services. 0aDiversity in the workplace. 0aBusiness ethics. 0aIndustrial organization.14aIT in Business.24aDiversity Management and Women in Business.24aBusiness Ethics.24aOrganization.2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303153918308iPrinted edition:z978303153920608iPrinted edition:z9783031539213 0aPalgrave Studies in Equity, Diversity, Inclusion, and Indigenization in Business,x2731-731540uhttps://doi.org/10.1007/978-3-031-53919-0