Raise student and colleague awareness of AI-related privacy risks through research-ethics curricula¶

Strategy · All strategies
Evidence · 2 claims (2 for) · 2 studies (1 review, 1 qualitative), q1–q2 · 0 of 2 report an effect size · 2 claims rest on one study

Description¶

The article proposes informing students and colleagues about the novel risks of online data collection so best practices and alternatives are established quickly. Raising students' awareness "for instance in courses on research ethics or data collection, will help to prepare them to consider this aspect in their research early on." The author adds that guidelines for AI-related privacy education within psychology curricula will need to be established collaboratively with legal departments and ethics committees.

Design Implications¶

Context¶

Requirements¶

• Collaboration with legal departments and ethics committees to establish curriculum guidelines.

Constraints¶

Target Learners¶

• students in research methods and research ethics courses
• educational researchers

Target Learning Goals¶

• anticipating privacy and information-sovereignty risks when planning data collection

Claims¶

• Privacy protections lag behind reputational concerns: institutions rarely consider implications of capturing audio-visual and behavioral data from private spaces, and AI algorithms are seldom transparent about error rates [+W]
• Students raised four categories of concern about potential misuse of MMLA data: judgment, privacy, career impact, and academic integrity [+W]

Related Strategies¶

• Provide explicit instruction in AI prompting and information verification alongside AI integration in laboratory courses
• Offer privacy-preserving participation alternatives such as on-site labs and bootable privacy-oriented operating systems

Examples¶

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Key Sources¶

• Skulmowski, A. (2024). AI-Related Threats to Information Sovereignty and Challenges for Research Ethics. Educational Psychology Review, 36, 101. https://doi.org/10.1007/s10648-024-09939-1