Abstract

This DIN SPEC in accordance with the PAS procedure has been drawn up by a DIN-SPEC-consortium set up on a temporary basis. This DIN SPEC has been developed and approved by the authors named in the foreword. This document is applicable to AI applications in the context of financial services. This document establishes the following: - A process for determining suitable notions and metrics of fairness (of AI applications) in the financial sector; - A concrete understanding of fairness may vary from person to person or situation to situation and therefore cannot be formulated universally; *For this purpose, a framework for application- and situation-specific measurements and justifications in the context of financial services in practice is proposed, including: *A justification for the use of concepts such as equal treatment, equal rights, equal opportunities, *Relevant aspects of good measurement and justification of all concepts used, *Assessment of proportionality with respect to costs and results, *Handling of measurement results (evaluation, explanation, communication, need for action), *Acceptable conditions for unequal treatment; - Collection of methods for operationalizing identified notions (e.g., via fairness measures). Identification of the respective strengths, weaknesses, and limitations of operationalization approaches; - Exemplary illustration of the process using relevant use cases. Furthermore, in the context of its use cases, this document is limited to: - Classification systems (excluding scorers and generative systems), - Group fairness measures (excluding individual fairness and alternative fairness assessments). This document does not describe processes for adapting AI-based systems to meet fairness requirements.

Begin

2024-03-25

Planned document number

DIN SPEC 91512

Project number

62016643