ARTICLEHIRING The Legal and Ethical Implications of Using AI in Hiring

Citations in the corpus

• In AI We Trust? Factors That Influence Trustworthiness of AI-infused Decision-Making Processes (2019, background): “These AI-infused decision-making processes include high-stakes domains such as prison sentence recommendation [14], credit decisions [32], and hiring [8], as well as more familiar lower-stakes domains such as personalized shopping [25] and music recommendation [23].”
• The Ethical Implications of Using Artificial Intelligence in Auditing (2020, background): “Dattner et al. (2019) observe that “many of these technologies promise to help organizations improve their ability to find the right person for the right job, and screen out the wrong people for the wrong jobs, faster and cheaper than ever before.””
• Ready or Not, AI Comes— An Interview Study of Organizational AI Readiness Factors (2020, background): “In case of not being ethically ready, organizations might blindly rely on biased AI outcomes and be held liable for discrimination even if unintentional (Agrawal et al. 2018; Dattner et al. 2019).”
• Expanding Explainability: Towards Social Transparency in AI systems (2021, background): “being employed in high stakes decision-making scenarios in industries such as healthcare [63], finance [76], college admissions [79], hiring [19], and criminal justice [37], the need for explainability becomes paramount.”
• Transparency and explainability of AI systems: From ethical guidelines to requirements (2023, unknown): “According to Dattner et al. [30], advances in AI have produced new tools that can used in hiring.”