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024 7 _a10.1007/978-3-031-53919-0
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100 1 _aMarabelli, Marco.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_976236
245 1 0 _aAI, Ethics, and Discrimination in Business
_h[electronic resource] :
_bThe DEI Implications of Algorithmic Decision-Making /
_cby Marco Marabelli.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Palgrave Macmillan,
_c2024.
300 _aXXVII, 233 p. 12 illus., 11 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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_2rda
490 1 _aPalgrave Studies in Equity, Diversity, Inclusion, and Indigenization in Business,
_x2731-7315
505 0 _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.
520 _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.
650 0 _aBusiness information services.
650 0 _aDiversity in the workplace.
_957447
650 0 _aBusiness ethics.
_958372
650 0 _aIndustrial organization.
_957885
650 1 4 _aIT in Business.
650 2 4 _aDiversity Management and Women in Business.
_972085
650 2 4 _aBusiness Ethics.
_958372
650 2 4 _aOrganization.
_959674
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031539183
776 0 8 _iPrinted edition:
_z9783031539206
776 0 8 _iPrinted edition:
_z9783031539213
830 0 _aPalgrave Studies in Equity, Diversity, Inclusion, and Indigenization in Business,
_x2731-7315
_974274
856 4 0 _uhttps://doi.org/10.1007/978-3-031-53919-0
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912 _aZDB-2-SXBM
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