Transparent and Auditable Decision-Making in Enterprise Platforms

Abstract

The growing use of automated decision-making platforms within the enterprise settings becomes a major challenge in terms of transparency and auditability. These platforms typically work as black boxes, and it is hard to justify the results, justify the rightness of the decision and correspond to the audit requirements. This paper suggests a design-based approach of transparency where automated decisions are just artifacts of the system. The architecture suggested also makes sure that the decisions can be traced by recording structured traces of decisions, assessments of constraints, policy contextual metadata and rationale summaries of every outcome. This practice will assist various stakeholders, such as engineers, operators, auditors and the leadership team at the same time making data secure and the system performance viable. This is achieved by directly incorporating transparency into the core of the platform and providing organizations with the potential to have traceable, defensible, and reviewable processes of scale. The paper also presents some of the practical design factors which should be in place in implementing audit-ready decision systems that can be applied in real-life enterprise set-ups. Finally, the suggested framework will provide more accountability, traceability, and auditability in automated decision systems and ensure that enterprise platforms are reliable, fair, and consistent with regulatory requirements.