Increase transparency of AI contributions through disclosure features, tool reminders, and training-data insight¶

Strategy · All strategies
Evidence · 3 claims (3 for) · 1 study (1 theoretical), q2 · 0 of 1 report an effect size · 3 claims rest on one study

Description¶

The essay proposes design and policy measures to counter placebo and ghostwriter effects: AI tools "could receive the functionality to remind users that they are tools, and that their utilization can in some cases be necessary to be disclosed", with automatic recommendations for task types requiring acknowledgment. It further suggests disclosing parts of the training material relevant to each output so users appreciate the work behind AI systems, informing users about training-data volume, and investigating how embodiment (e.g., a human face) affects attribution of AI-generated work.

Design Implications¶

Context¶

Requirements¶

• AI tools would need built-in reminder and disclosure-recommendation functionality; educators would need guidelines on which task types require acknowledgment.

Constraints¶

• The essay frames these as proposals worthy of investigation rather than tested interventions, and notes considerable work is needed to arrive at definitive guidelines for human-generative-AI cooperation.

Target Learners¶

• students using generative AI
• educators at all levels of education

Target Learning Goals¶

• accurate self-monitoring of one's own versus AI contributions and ethical disclosure of AI use

Claims¶

• AI ghostwriter effect: users do not claim ownership of AI-generated texts yet fail to publicly acknowledge the AI's contribution [+W]
• AI-related placebo effects lead users to overestimate their own abilities while or after being assisted by an AI [+W]
• Students and educators disagree on the acceptability of unacknowledged generative AI use across academic writing subtasks [+W]

Related Strategies¶

• Strengthen institutional policies, ethics education, verification, disclosure, and data protection to support ethical GenAI use
• Evaluate GenAI declaration frameworks empirically and pair them with institutional guidance on which tools are in scope

Examples¶

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Key Sources¶

• Skulmowski, A. (2024). Placebo or Assistant? Generative AI Between Externalization and Anthropomorphization. Educational Psychology Review, 36, 58. https://doi.org/10.1007/s10648-024-09894-x