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  1. Ethics of AI-Enabled Recruiting and Selection: A Review and Research Agenda.Anna Lena Hunkenschroer & Christoph Luetge - 2022 - Journal of Business Ethics 178 (4):977-1007.
    Companies increasingly deploy artificial intelligence technologies in their personnel recruiting and selection process to streamline it, making it faster and more efficient. AI applications can be found in various stages of recruiting, such as writing job ads, screening of applicant resumes, and analyzing video interviews via face recognition software. As these new technologies significantly impact people’s lives and careers but often trigger ethical concerns, the ethicality of these AI applications needs to be comprehensively understood. However, given the novelty of AI (...)
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  • Do the Ends Justify the Means? Variation in the Distributive and Procedural Fairness of Machine Learning Algorithms.Lily Morse, Mike Horia M. Teodorescu, Yazeed Awwad & Gerald C. Kane - 2021 - Journal of Business Ethics 181 (4):1083-1095.
    Recent advances in machine learning methods have created opportunities to eliminate unfairness from algorithmic decision making. Multiple computational techniques (i.e., algorithmic fairness criteria) have arisen out of this work. Yet, urgent questions remain about the perceived fairness of these criteria and in which situations organizations should use them. In this paper, we seek to gain insight into these questions by exploring fairness perceptions of five algorithmic criteria. We focus on two key dimensions of fairness evaluations: distributive fairness and procedural fairness. (...)
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  • Ethical Perceptions of AI in Hiring and Organizational Trust: The Role of Performance Expectancy and Social Influence.Maria Figueroa-Armijos, Brent B. Clark & Serge P. da Motta Veiga - 2023 - Journal of Business Ethics 186 (1):179-197.
    The use of artificial intelligence (AI) in hiring entails vast ethical challenges. As such, using an ethical lens to study this phenomenon is to better understand whether and how AI matters in hiring. In this paper, we examine whether ethical perceptions of using AI in the hiring process influence individuals’ trust in the organizations that use it. Building on the organizational trust model and the unified theory of acceptance and use of technology, we explore whether ethical perceptions are shaped by (...)
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  • Supporting and Humiliating Dignity with Biometric Technologies: An Affordance Perspective.Jayson Killoran, Jasmin Manseau, Andrew Park & Jan Kietzmann - forthcoming - Journal of Business Ethics:1-18.
    Biometric technologies are at the forefront of organizational innovation, surveillance, and control. In many instances, the use of physiological and behavioral biometrics enhances individual and organizational performance. However, they also have the potential to hinder human wellbeing. In particular, recent generations of biometrics are capable of extracting deeper insights into human behavior, enabling organizational surveillance practices, but may also constrain individual rights and freedoms. While biometric technologies have been evidenced to infringe upon privacy and lead to discriminatory practices, little research (...)
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  • Navigating the Ethical Terrain Around the Challenges of Fake News and False Narratives: An Integrative Literature Review and a Proposed Agenda for Future Research.Pramukh Nanjundaswamy Vasist & Satish Krishnan - 2025 - Journal of Business Ethics 196 (2):473-493.
    Research on fake news and false narratives is growing, and their ethical implications are increasingly garnering academic attention. This escalating crisis demands prompt consideration since its proliferation poses a significant threat to organizations and societies. As scholarly investigations garner pace in this field of inquiry, it warrants a critical appraisal of the extant body of knowledge on ethical issues related to fake news and false narratives. To this end, we analyze this growing corpus of research through an integrative review. We (...)
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