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

Ethics, law, and computer science offer complementary but distinct approaches to AI accountability: The paper demonstrates that these three fields interpret and implement compliance differently—ethical charters emphasize values and principles, legal tools focus on enforceable requirements, and technical documentation specifies system capabilities—but together they create a more comprehensive governance framework than any single field alone.

Shared values are essential for bridging ethics, law, and technical practice: The authors identify "values" as a critical connector between the three domains, showing how ethical principles can be translated into legal requirements and then operationalized through technical specifications and documentation practices.

Technical documentation plays a practical role in making ethics and law actionable: Rather than treating technical documentation as separate from governance, the paper shows how detailed technical specifications can inform regulatory frameworks and help implement ethical principles in concrete, verifiable ways.

Real-world governance initiatives demonstrate the necessity of collaborative approaches: The paper examines three practical examples—collaborative workshops, responsible licensing initiatives, and regulatory frameworks—showing that effective AI governance requires simultaneous engagement across ethical, legal, and technical domains rather than sequential or isolated efforts.

Joint consideration of all three domains prevents gaps in AI accountability: By analyzing how these fields interact, the paper argues that considering only ethics, law, or technical aspects in isolation creates blind spots in accountability, making integrated governance essential for responsible AI development.