Stronger Together: on the Articulation of Ethical Charters, Legal Tools, and Technical Documentation in ML

• URL: http://arxiv.org/abs/2305.18615v1
• Date: Tue, 9 May 2023 15:35:31 GMT
• Title: Stronger Together: on the Articulation of Ethical Charters, Legal Tools, and Technical Documentation in ML
• Authors: Giada Pistilli, Carlos Munoz Ferrandis, Yacine Jernite, Margaret Mitchell
• Abstract summary: The need for accountability of the people behind AI systems can be addressed by leveraging processes in three fields of study: ethics, law, and computer science. We first contrast notions of compliance in the ethical, legal, and technical fields. We then focus on the role of values in articulating the synergies between the fields.
• Score: 5.433040083728602
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: The growing need for accountability of the people behind AI systems can be addressed by leveraging processes in three fields of study: ethics, law, and computer science. While these fields are often considered in isolation, they rely on complementary notions in their interpretation and implementation. In this work, we detail this interdependence and motivate the necessary role of collaborative governance tools in shaping a positive evolution of AI. We first contrast notions of compliance in the ethical, legal, and technical fields; we outline both their differences and where they complement each other, with a particular focus on the roles of ethical charters, licenses, and technical documentation in these interactions. We then focus on the role of values in articulating the synergies between the fields and outline specific mechanisms of interaction between them in practice. We identify how these mechanisms have played out in several open governance fora: an open collaborative workshop, a responsible licensing initiative, and a proposed regulatory framework. By leveraging complementary notions of compliance in these three domains, we can create a more comprehensive framework for governing AI systems that jointly takes into account their technical capabilities, their impact on society, and how technical specifications can inform relevant regulations. Our analysis thus underlines the necessity of joint consideration of the ethical, legal, and technical in AI ethics frameworks to be used on a larger scale to govern AI systems and how the thinking in each of these areas can inform the others.

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