  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.
