Human participants in AI research: Ethics and transparency in practice

Authors: KR McKee

Published: 2024

Publication: IEEE Transactions on Technology and Society, 2024 - ieeexplore.ieee.org

The paper identifies ethical and transparency gaps in AI research involving human participants and proposes guidelines to address these issues, drawing from adjacent fields like psychology and human-computer interaction while recognizing unique challenges in AI contexts.

Methods: Analyzed normative practices by reviewing AI research publications and compared them with ethical standards in adjacent fields such as psychology and HCI.

Key Findings: Ethical practices including ethical reviews, informed consent, participant compensation, and contextual considerations specific to AI research.

Limitations: The paper notes the absence of standardized ethical guidelines tailored for AI research and emphasizes the need for consistent interdisciplinary collaboration to refine these frameworks further.

Institution: University of Queensland

Research Area: AI Ethics, Human-Computer Interaction (HCI),Research Practice Transparency

Discipline: AI Ethics , Human-Computer Interaction (HCI)

Citations: 17

DOI: https://ieeexplore.ieee.org/abstract/document/10664609/