Think About the Stakeholders First! Towards an Algorithmic Transparency Playbook for Regulatory Compliance

Abstract

Increasingly, laws are being proposed and passed by governments around the world to regulate Artificial Intelligence (AI) systems implemented into the public and private sectors. Many of these regulations address the transparency of AI systems, and related citizen-aware issues like allowing individuals to have the right to an explanation about how an AI system makes a decision that impacts them. Yet, almost all AI governance documents to date have a significant drawback: they have focused on what to do (or what not to do) with respect to making AI systems transparent, but have left the brunt of the work to technologists to figure out how to build transparent systems. We fill this gap by proposing a novel stakeholder-first approach that assists technologists in designing transparent, regulatory compliant systems. We also describe a realworld case-study that illustrates how this approach can be used in practice. CCS CONCEPTS• Human-centered computing → Interaction design theory, concepts and paradigms.

Responsible AI literacy: A stakeholder-first approach

“…Case 5: The Algorithmic Transparency Playbook (Bell et al, 2022(Bell et al, , 2023. This is an open course, aimed at technology industry practitioners, organizational decision makers, policy makers, and regulators.…”

“…Case 5 (Bell et al, 2022, Bell et al, 2023 is aimed specifically at agents responsible for overseeing the use of ADS (see instructional scheme in Figure 3). It focuses on the principle of transparency, the importance of which is widely recognized in the field of responsible AI.…”

“…The cases addressed to the system owners are Case 3 (Stoyanovich, 2023) -focusing on future data scientists, i.e., practitioners-, Case 5 (Bell et al, 2023;Bell et al, 2022) -this one together with a focus on public entities and Case 6 (Bruce et al, 2023). This audience includes a variety of profiles, such as technology industry professionals, organizational leaders and managers, who are expected to have different types of technical knowledge.…”