AI Usage Cards: Responsibly Reporting AI-generated Content
Not on the map. Why?
Abstract (arXiv)
Given AI systems like ChatGPT can generate content that is indistinguishable from human-made work, the responsible use of this technology is a growing concern. Although understanding the benefits and harms of using AI systems requires more time, their rapid and indiscriminate adoption in practice is a reality. Currently, we lack a common framework and language to define and report the responsible use of AI for content generation. Prior work proposed guidelines for using AI in specific scenarios (e.g., robotics or medicine) which are not transferable to conducting and reporting scientific research. Our work makes two contributions: First, we propose a three-dimensional model consisting of transparency, integrity, and accountability to define the responsible use of AI. Second, we introduce ``AI Usage Cards'', a standardized way to report the use of AI in scientific research. Our model and cards allow users to reflect on key principles of responsible AI usage. They also help the research community trace, compare, and question various forms of AI usage and support the development of accepted community norms. The proposed framework and reporting system aims to promote the ethical and responsible use of AI in scientific research and provide a standardized approach for reporting AI usage across different research fields. We also provide a free service to easily generate AI Usage Cards for scientific work via a questionnaire and export them in various machine-readable formats for inclusion in different work products at https://ai-cards.org.
Key facts. Cited by 16 papers in the map (data through 14 Oct 2026). First posted on arXiv 16 Feb 2023.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2023: 5; 2024: 6; 2025: 3; 2026: 2.
16 papers.
Sort:
By area:
- 2023A Survey on Detection of LLMs-Generated Contentcited by 71
- 2023We are Who We Cite: Bridges of Influence Between Natural Language Processing and Other Academic Fieldscited by 20
- 2024Mapping the Ethics of Generative AI: A Comprehensive Scoping Reviewcited by 19
- 2024Text Generation: A Systematic Literature Review of Tasks, Evaluation, and Challengescited by 18
- 2023Use case cards: a use case reporting framework inspired by the European AI Actcited by 15
- 2023Paraphrase Detection: Human vs. Machine Contentcited by 12
- 2025TrojanStego: Your Language Model Can Secretly Be A Steganographic Privacy Leaking Agentcited by 9
- 2024Citation Amnesia: On The Recency Bias of NLP and Other Academic Fieldscited by 5
- 2025SPaRC: A Spatial Pathfinding Reasoning Challengecited by 5
- 2023Unlocking Model Insights: A Dataset for Automated Model Card Generationcited by 4
- 2024Detecting AI Generated Text Based on NLP and Machine Learning Approachescited by 2
- 2026Mind the Gap Between Spatial Reasoning and Acting! Step-by-Step Evaluation of Agents With Spatial-Gymcited by 1
4 more
- 2024Documentation Practices of Artificial Intelligencecited by 0
- 2024Joint Model Assignment and Resource Allocation for Cost-Effective Mobile Generative Servicescited by 0
- 2025Big Tech-Funded AI Papers Have Higher Citation Impact, Greater Insularity, and Larger Recency Biascited by 0
- 2026MABPD: Multi-Agent Bias Probing & Detection via Structured Argument Debatecited by 0
- 2026MABPD: Multi-Agent Bias Probing & Detection via Structured Argument Debate4 Sep 2026
- 2026Mind the Gap Between Spatial Reasoning and Acting! Step-by-Step Evaluation of Agents With Spatial-Gym10 Apr 2026
- 2025Big Tech-Funded AI Papers Have Higher Citation Impact, Greater Insularity, and Larger Recency Bias5 Dec 2025
- 2025TrojanStego: Your Language Model Can Secretly Be A Steganographic Privacy Leaking Agent26 May 2025
- 2025SPaRC: A Spatial Pathfinding Reasoning Challenge22 May 2025
- 2024Joint Model Assignment and Resource Allocation for Cost-Effective Mobile Generative Services9 Sep 2024
- 2024Documentation Practices of Artificial Intelligence26 Jun 2024
- 2024Text Generation: A Systematic Literature Review of Tasks, Evaluation, and Challenges24 May 2024
- 2024Detecting AI Generated Text Based on NLP and Machine Learning Approaches15 Apr 2024
- 2024Citation Amnesia: On The Recency Bias of NLP and Other Academic Fields19 Feb 2024
- 2024Mapping the Ethics of Generative AI: A Comprehensive Scoping Review13 Feb 2024
- 2023A Survey on Detection of LLMs-Generated Content24 Oct 2023
4 more
- 2023We are Who We Cite: Bridges of Influence Between Natural Language Processing and Other Academic Fields23 Oct 2023
- 2023Unlocking Model Insights: A Dataset for Automated Model Card Generation22 Sep 2023
- 2023Use case cards: a use case reporting framework inspired by the European AI Act23 Jun 2023
- 2023Paraphrase Detection: Human vs. Machine Content24 Mar 2023
- 2023A Survey on Detection of LLMs-Generated Contentcited by 71
- 2023We are Who We Cite: Bridges of Influence Between Natural Language Processing and Other Academic Fieldscited by 20
- 2024Mapping the Ethics of Generative AI: A Comprehensive Scoping Reviewcited by 19
- 2024Text Generation: A Systematic Literature Review of Tasks, Evaluation, and Challengescited by 18
- 2023Use case cards: a use case reporting framework inspired by the European AI Actcited by 15
- 2023Paraphrase Detection: Human vs. Machine Contentcited by 12
- 2025TrojanStego: Your Language Model Can Secretly Be A Steganographic Privacy Leaking Agentcited by 9
- 2024Citation Amnesia: On The Recency Bias of NLP and Other Academic Fieldscited by 5
- 2023Unlocking Model Insights: A Dataset for Automated Model Card Generationcited by 4
- 2024Detecting AI Generated Text Based on NLP and Machine Learning Approachescited by 2
- 2024Documentation Practices of Artificial Intelligencecited by 0
- 2024Joint Model Assignment and Resource Allocation for Cost-Effective Mobile Generative Servicescited by 0
12 most cited of 13 All 13 (JSON)
- 2025Big Tech-Funded AI Papers Have Higher Citation Impact, Greater Insularity, and Larger Recency Bias5 Dec 2025
- 2025TrojanStego: Your Language Model Can Secretly Be A Steganographic Privacy Leaking Agent26 May 2025
- 2024Joint Model Assignment and Resource Allocation for Cost-Effective Mobile Generative Services9 Sep 2024
- 2024Documentation Practices of Artificial Intelligence26 Jun 2024
- 2024Text Generation: A Systematic Literature Review of Tasks, Evaluation, and Challenges24 May 2024
- 2024Detecting AI Generated Text Based on NLP and Machine Learning Approaches15 Apr 2024
- 2024Citation Amnesia: On The Recency Bias of NLP and Other Academic Fields19 Feb 2024
- 2024Mapping the Ethics of Generative AI: A Comprehensive Scoping Review13 Feb 2024
- 2023A Survey on Detection of LLMs-Generated Content24 Oct 2023
- 2023We are Who We Cite: Bridges of Influence Between Natural Language Processing and Other Academic Fields23 Oct 2023
- 2023Unlocking Model Insights: A Dataset for Automated Model Card Generation22 Sep 2023
- 2023Use case cards: a use case reporting framework inspired by the European AI Act23 Jun 2023
12 newest of 13 All 13 (JSON)