Deploy soft barriers transparently: institutional approval, policy-level disclosure, and accessibility testing¶

Strategy · All strategies
Evidence · no claims cited

Description¶

The paper's responsible-use recommendations state that deployments of Unicode barriers should be institutionally approved and tested for accessibility, since zero-width characters can affect screen readers, and that "Unicode barriers operating without disclosure are deceptive". The claim is not that barriers are secure but that they change the default path for ordinary use.

Design Implications¶

Context¶

Requirements¶

• Institutional approval, disclosure at the policy level, and accessibility testing before deployment

Constraints¶

• Motivated users can bypass barriers by requesting clean output, running a text normalizer, or retyping the code

Target Learners¶

• programming students
• institutional administrators deploying AI assistants

Target Learning Goals¶

• ethical and transparent management of AI code handoff in educational settings

Affordances¶

• Ai Code Handoff Problem

Related Strategies¶

• Institutional safeguards for safe, transparent AI use in assessment
• Institutional governance should establish practical conditions supporting AI literacy, learner agency, and critical evaluation rather than relying on prohibition and detection
• Establish comprehensive institutional AI governance frameworks including task forces, roadmaps, and transparent policies

Examples¶

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Key Sources¶

• Iyiola E. Olatunji, Alberick Euraste Djire, Jacques Klein, and Tegawendé F. Bissyandé. 2026. Do Not Copy/Paste: Soft Barriers for Copying in AI-Assisted Programming. Proceedings of the 41st IEEE/ACM International Conference on Automated Software Engineering (ASE '26). https://doi.org/10.1145/3832783.3834554