Abstract

This DIN SPEC draft in accordance with the PAS procedure has been developed within a DIN-SPEC-consortium set up on a temporary basis. The draft has been developed and approved by the authors named in the foreword. DIN SPEC drafts are published free of charge for 2 months for comments. 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