04368nam a22005895i 4500 978-3-031-53919-0 DE-He213 20251030112024.0 cr nn 008mamaa 240502s2024 sz | s |||| 0|eng d 9783031539190 978-3-031-53919-0 10.1007/978-3-031-53919-0 doi HF54.5-54.56 KJQ bicssc UF bicssc BUS083000 bisacsh KJQ thema UF thema Marabelli, Marco. author. aut http://id.loc.gov/vocabulary/relators/aut 76236 AI, Ethics, and Discrimination in Business [electronic resource] : The DEI Implications of Algorithmic Decision-Making / by Marco Marabelli. 1st ed. 2024. Cham : Springer International Publishing : Imprint: Palgrave Macmillan, 2024. XXVII, 233 p. 12 illus., 11 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Palgrave Studies in Equity, Diversity, Inclusion, and Indigenization in Business, 2731-7315 Chapter 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. This 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. Business information services. Diversity in the workplace. 57447 Business ethics. 58372 Industrial organization. 57885 IT in Business. Diversity Management and Women in Business. 72085 Business Ethics. 58372 Organization. 59674 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031539183 Printed edition: 9783031539206 Printed edition: 9783031539213 Palgrave Studies in Equity, Diversity, Inclusion, and Indigenization in Business, 2731-7315 74274 https://doi.org/10.1007/978-3-031-53919-0 ZDB-2-BUM ZDB-2-SXBM 59594 59594