Documenting ethical considerations in open source AI models

Background: The development of AI-enabled software heavily depends on AI model documentation, such as model cards, due to different domain expertise between software engineers and model developers. From an ethical standpoint, AI model documentation conveys critical information on ethical considerati...

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Main Authors: GAO, Haoyu, ZAHEDI, Mansooreh, TREUDE, Christoph, ROSENSTOCK, Sarita, CHEONG, Marc
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Language:English
Published: Institutional Knowledge at Singapore Management University 2024
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Online Access:https://ink.library.smu.edu.sg/sis_research/9780
https://ink.library.smu.edu.sg/context/sis_research/article/10780/viewcontent/EthicalConsiderationOS_AI_pvoa_cc_by.pdf
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spelling sg-smu-ink.sis_research-107802024-12-16T02:06:28Z Documenting ethical considerations in open source AI models GAO, Haoyu ZAHEDI, Mansooreh TREUDE, Christoph ROSENSTOCK, Sarita CHEONG, Marc Background: The development of AI-enabled software heavily depends on AI model documentation, such as model cards, due to different domain expertise between software engineers and model developers. From an ethical standpoint, AI model documentation conveys critical information on ethical considerations along with mitigation strategies for downstream developers to ensure the delivery of ethically compliant software. However, knowledge on such documentation practice remains scarce. Aims: The objective of our study is to investigate how developers document ethical aspects of open source AI models in practice, aiming at providing recommendations for future documentation endeavours. Method: We selected three sources of documentation on GitHub and Hugging Face, and developed a keyword set to identify ethics-related documents systematically. After filtering an initial set of 2,347 documents, we identified 265 relevant ones and performed thematic analysis to derive the themes of ethical considerations. Results: Six themes emerge, with the three largest ones being model behavioural risks, model use cases, and model risk mitigation. Conclusions: Our findings reveal that open source AI model documentation focuses on articulating ethical problem statements and use case restrictions. We further provide suggestions to various stakeholders for improving documentation practice regarding ethical considerations. 2024-10-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/9780 info:doi/10.1145/3674805.3686679 https://ink.library.smu.edu.sg/context/sis_research/article/10780/viewcontent/EthicalConsiderationOS_AI_pvoa_cc_by.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Ethical Considerations Open Source Software Software Documents Artificial Intelligence and Robotics Software Engineering
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Ethical Considerations
Open Source Software
Software Documents
Artificial Intelligence and Robotics
Software Engineering
spellingShingle Ethical Considerations
Open Source Software
Software Documents
Artificial Intelligence and Robotics
Software Engineering
GAO, Haoyu
ZAHEDI, Mansooreh
TREUDE, Christoph
ROSENSTOCK, Sarita
CHEONG, Marc
Documenting ethical considerations in open source AI models
description Background: The development of AI-enabled software heavily depends on AI model documentation, such as model cards, due to different domain expertise between software engineers and model developers. From an ethical standpoint, AI model documentation conveys critical information on ethical considerations along with mitigation strategies for downstream developers to ensure the delivery of ethically compliant software. However, knowledge on such documentation practice remains scarce. Aims: The objective of our study is to investigate how developers document ethical aspects of open source AI models in practice, aiming at providing recommendations for future documentation endeavours. Method: We selected three sources of documentation on GitHub and Hugging Face, and developed a keyword set to identify ethics-related documents systematically. After filtering an initial set of 2,347 documents, we identified 265 relevant ones and performed thematic analysis to derive the themes of ethical considerations. Results: Six themes emerge, with the three largest ones being model behavioural risks, model use cases, and model risk mitigation. Conclusions: Our findings reveal that open source AI model documentation focuses on articulating ethical problem statements and use case restrictions. We further provide suggestions to various stakeholders for improving documentation practice regarding ethical considerations.
format text
author GAO, Haoyu
ZAHEDI, Mansooreh
TREUDE, Christoph
ROSENSTOCK, Sarita
CHEONG, Marc
author_facet GAO, Haoyu
ZAHEDI, Mansooreh
TREUDE, Christoph
ROSENSTOCK, Sarita
CHEONG, Marc
author_sort GAO, Haoyu
title Documenting ethical considerations in open source AI models
title_short Documenting ethical considerations in open source AI models
title_full Documenting ethical considerations in open source AI models
title_fullStr Documenting ethical considerations in open source AI models
title_full_unstemmed Documenting ethical considerations in open source AI models
title_sort documenting ethical considerations in open source ai models
publisher Institutional Knowledge at Singapore Management University
publishDate 2024
url https://ink.library.smu.edu.sg/sis_research/9780
https://ink.library.smu.edu.sg/context/sis_research/article/10780/viewcontent/EthicalConsiderationOS_AI_pvoa_cc_by.pdf
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