Locating the work of artificial intelligence ethics

Artificial intelligence (AI) reconfigures work and organization, while work and organization shape AI. In this special issue, we explore these mutual transformations and how they play out across industries and occupations. We argue that, to truly appreciate this transformative power, the use of AI should be understood in relation to key dimensions of the work context. In this editorial, we discuss the sociotechnical dynamics of AI implementation, the research landscape of AI in the context of work, and key contextual factors on the macro‐ and micro‐level that help understand the AI‐work nexus. We then provide directions for future research at the intersection of work and AI.

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Artificial intelligence in the work context

Jarrahi

Lutz

Boyd³

et al. 2022

Asso for Info Science & Tech

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Understanding the influence of AI autonomy on AI explainability levels in human-AI teams using a mixed methods approach

Hauptman,

Schelble,

Duan

et al. 2024

Cogn Tech Work

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An obstacle to effective teaming between humans and AI is the agent’s "black box" design. AI explanations have proven benefits, but few studies have explored the effects that explanations can have in a teaming environment with AI agents operating at heightened levels of autonomy. We conducted two complementary studies, an experiment and participatory design sessions, investigating the effect that varying levels of AI explainability and AI autonomy have on the participants’ perceived trust and competence of an AI teammate to address this research gap. The results of the experiment were counter-intuitive, where the participants actually perceived the lower explainability agent as both more trustworthy and more competent. The participatory design sessions further revealed how a team’s need to know influences when and what teammates need explained from AI teammates. Based on these findings, several design recommendations were developed for the HCI community to guide how AI teammates should share decision information with their human counterparts considering the careful balance between trust and competence in human-AI teams.

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Recommendations on the Ethical Aspects of Artificial Intelligence, with an Outlook on the World of Work

Riczu

2023

JDTL

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Objective: the spread and wide application of Artificial Intelligence raises ethical questions in addition to data protection measures. That is why the aim of this paper is to examine ethical aspects of Artificial Intelligence and give recommendations for its use in labor law.Methods: research based on the methods of comparative and empirical analysis. Comparative analysis allowed to examine provisions of the modern labor law in the context of use of Artificial Intelligence. Empirical analysis made it possible to highlight the ethical issues related to Artificial Intelligence in the world of work by examining the disputable cases of the use of Artificial Intelligence in different areas, such as healthcare, education, transport, etc.Results: the private law aspects of the ethical issues of Artificial Intelligence were examined in the context of ethical and labor law issues that affect the selection process with Artificial Intelligence and the treatment of employees as a set of data from the employers’ side. Author outlined the general aspects of ethics and issues of digital ethics. Author described individual international recommendations related to the ethics of Artificial Intelligence.Scientific novelty:this research focused on the examination of ethical issues of the use of Artificial Intelligence in the specific field of private law – labor law. Authors gave recommendations on ethical aspects of use of Artificial Intelligence in this specific field.Practical significance: research contributes to the limited literature on the topic. The results of the research could be used in lawmaking process and also as a basis for future research.

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Locating the work of artificial intelligence ethics

Cited by 3 publications

References 65 publications

Artificial intelligence in the work context

Artificial intelligence in the work context

Understanding the influence of AI autonomy on AI explainability levels in human-AI teams using a mixed methods approach

Recommendations on the Ethical Aspects of Artificial Intelligence, with an Outlook on the World of Work

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