Sources of Opacity in Computer Systems: Towards a Comprehensive Taxonomy
Mann, Sara, Crook, Barnaby, Kästner, Lena, Schomäcker, Astrid, Speith, Timo
–arXiv.org Artificial Intelligence
Modern computer systems are ubiquitous in contemporary life yet many of them remain opaque. This poses significant challenges in domains where desiderata such as fairness or accountability are crucial. We suggest that the best strategy for achieving system transparency varies depending on the specific source of opacity prevalent in a given context. Synthesizing and extending existing discussions, we propose a taxonomy consisting of eight sources of opacity that fall into three main categories: architectural, analytical, and socio-technical. For each source, we provide initial suggestions as to how to address the resulting opacity in practice. The taxonomy provides a starting point for requirements engineers and other practitioners to understand contextually prevalent sources of opacity, and to select or develop appropriate strategies for overcoming them.
arXiv.org Artificial Intelligence
Jul-26-2023
- Country:
- Europe
- Germany (0.69)
- United Kingdom > England (0.28)
- North America > United States (0.72)
- Europe
- Genre:
- Research Report (0.50)
- Industry:
- Information Technology (0.68)
- Law (0.68)
- Technology:
- Information Technology
- Artificial Intelligence
- Issues > Social & Ethical Issues (0.70)
- Machine Learning > Neural Networks
- Deep Learning (0.46)
- Vision (0.68)
- Data Science > Data Mining (0.93)
- Artificial Intelligence
- Information Technology