Living with Opaque Technologies: Insights for AI from Digital Simulations

This study explores transparency challenges in algorithmic fairness. After reviewing progress in technical and regulatory transparency, it is suggested that some level of opacity is inherent to AI systems.

Contents:

1. Introduction
2. Exploring Transparency Issues in Algorithmic Fairness

        2.1. Transparency and Fairness

        2.2. Current Approaches to Transparency

        2.3. The Black Box Issue

        2.4. AI Systems and Mechanistic Tacit Knowledge

3. Dealing with Opacity: Directions for Further Research

4. Conclusion