Executive Guide · Open access
Research Summary: Expectations and Practices around AI Disclosure in CS Research
- Original authors
- Attribution requires verification
- Original source
- arXiv — Computers and Society
- Summary & Analysis prepared by
- Aziz Shuaib Ausi
- Resource type
- Research Summary / Knowledge Resource
- Resource published on AZIZ OS
- 28 August 2026
- Last updated
- 21 September 2026
- Reading time
- 1 min
- Publication type
- Executive Guide
- Availability
- Open access
About this Summary & Analysis
AZIZ OS provides independently prepared summaries and analytical interpretations of externally published research and knowledge sources. The underlying works remain attributable to their original authors and rights holders. This resource is intended to improve accessibility and understanding and does not replace the original publication.
Research indicates that current AI disclosure policies across top computer science venues are prevalent but largely underspecified. A survey of computer science researchers revealed that disclosure is considered most necessary for tasks involving research design, especially when AI tools are used, with necessity varying based on the level of human involvement.
Why it matters
The ambiguity in AI disclosure policies in research venues poses a significant challenge for maintaining transparency and ethical standards in AI-assisted scientific work. Addressing these policy gaps is crucial for ensuring research integrity and fostering trust in results generated or supported by generative AI tools, impacting future research directions and public perception of AI's role in knowledge creation.
Key insights
- AI disclosure policies are widespread in leading computer science venues.
- These existing policies are frequently underspecified, lacking clear guidelines.
- Researchers perceive a higher necessity for AI disclosure in tasks related to research design.
- The perceived necessity of disclosure is influenced by the degree of human involvement in AI-assisted tasks.
Source
arXiv — Computers and Society — https://arxiv.org/abs/2608.23271
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- Verification ID
- ASA-EXG-2026-00612
- Version
- v1.0 · r0
- Issued
- 28 August 2026
- Resource prepared by
- Aziz Shuaib Ausi
- Resource status
- Research Summary / Knowledge Resource
- Underlying work
- Expectations and Practices around AI Disclosure in CS Research
- Original authors
- Attribution requires verification
- Original source
- arXiv — Computers and Society
- Provenance status
- Attribution requires verification
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- Underlying publication rights remain with the respective copyright holder(s). Refer to the original source for authoritative publication and licensing information.
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