LEADER 04252nam 22006495 450 001 9910855380503321 005 20250807132250.0 010 $a9783031539190 010 $a3031539192 024 7 $a10.1007/978-3-031-53919-0 035 $a(MiAaPQ)EBC31319198 035 $a(Au-PeEL)EBL31319198 035 $a(CKB)31918630300041 035 $a(DE-He213)978-3-031-53919-0 035 $a(EXLCZ)9931918630300041 100 $a20240502d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAI, Ethics, and Discrimination in Business $eThe DEI Implications of Algorithmic Decision-Making /$fby Marco Marabelli 205 $a1st ed. 2024. 210 1$aCham :$cSpringer International Publishing :$cImprint: Palgrave Macmillan,$d2024. 215 $a1 online resource (255 pages) 225 1 $aPalgrave Studies in Equity, Diversity, Inclusion, and Indigenization in Business,$x2731-7315 311 08$a9783031539183 311 08$a3031539184 320 $aIncludes bibliographical references and index. 327 $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. 330 $aThis book takes a historical approach to explore data, algorithms, their use in practice through applications of AI in various settings, and all of the surrounding ethical and DEI implications. Summarizing our current knowledge and highlighting gaps, it offers original examples from empirical research in various settings, such as healthcare, social media, and the GIG economy. The author investigates how systems relying on a binary structure (machines) work in systems that are instead analogic (societies). Further, he examines how underrepresented populations, who have been historically penalized by technologies, can play an active role in the design of automated systems, with a specific focus on the US legal and social system. One issue is that main tasks of machines concern classification, which, while efficient for speeding up decision-making processes, are inherently biased. Ultimately, this work advocates for ethical design and responsible implementation and deployment of technology in organizations and society through through government-sponsored social justice, in contrast with free market policies. This interdisciplinary text contributes to the timely and relevant debate on algorithmic fairness, biases, and potential discriminations. It will appeal to researchers in business ethics and information systems while building on theories from anthropology, psychology, sociology, management, marketing, and economics. Marco Marabelli is a Professor of Computer Information Systems at Bentley University, USA. His research focuses on the ethical and DEI implications of the use of emerging technologies in organizations and society and on the historical and legal aspects concerning social injustice associated with the use of artificial intelligence. 410 0$aPalgrave Studies in Equity, Diversity, Inclusion, and Indigenization in Business,$x2731-7315 606 $aBusiness information services 606 $aDiversity in the workplace 606 $aBusiness ethics 606 $aIndustrial organization 606 $aIT in Business 606 $aDiversity Management and Women in Business 606 $aBusiness Ethics 606 $aOrganization 615 0$aBusiness information services. 615 0$aDiversity in the workplace. 615 0$aBusiness ethics. 615 0$aIndustrial organization. 615 14$aIT in Business. 615 24$aDiversity Management and Women in Business. 615 24$aBusiness Ethics. 615 24$aOrganization. 676 $a174.90063 700 $aMarabelli$b Marco$01737649 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910855380503321 996 $aAI, Ethics, and Discrimination in Business$94159622 997 $aUNINA