Affiliation:
1. Marymount University, USA
Abstract
By corporations applying the ethical framework of Rawls justice and fairness and critical race theory (CRT) to artificial intelligence (AI) for hiring, employers can help to ensure that AI systems are used in a fair and just manner and that the rights of workers are protected. AI has become an integral part of modern hiring processes, promising efficiency, objectivity, and data-driven decision-making. However, concerns regarding AI discrimination in hiring have emerged as a critical ethical and societal issue. This chapter delves into the complex dynamics of AI-driven hiring discrimination, exploring its root causes, consequences, and potential solutions. The chapter further provides a comprehensive analysis of AI discrimination in hiring and a best practice rooted in CRT and the ethical framework of Rawls justice and fairness.
Reference36 articles.
1. Algorithmic bias in data-driven innovation in the age of AI
2. Algorithmic bias. (2023). In Wikipedia. https://en.wikipedia.org/w/index.php?title=Algorithmic_bias&oldid=1175422488
3. American Psychology Association. (n.d.). Inclusive Language Guidelines. Retrieved April 13, 2023, from https://www.apa.org/about/apa/equity-diversity-inclusion/language-guidelines
4. Artificial intelligence. (2023). In Wikipedia. https://en.wikipedia.org/w/index.php?title=Artificial_intelligence&oldid=1176266902
5. Engineering a social contract: Rawlsian distributive justice through algorithmic game theory and artificial intelligence