Abstract
Driven by the increasing availability and deployment of ubiquitous computing technologies across our private and professional lives, implementations of automatically processable regulation (APR) have evolved over the past decade from academic projects to real-world implementations by states and companies. There are now pressing issues that such encoded regulation brings about for citizens and society, and strategies to mitigate these issues are required. However, comprehensive yet practically operationalizable frameworks to navigate the complex interactions and evaluate the risks of projects that implement APR are not available today. In this paper, and based on related work as well as our own experiences, we propose a framework to support the conceptualization, implementation, and application of responsible APR. Our contribution is twofold: we provide a holistic characterization of what responsible APR means; and we provide support to operationalize this in concrete projects, in the form of leading questions, examples, and mitigation strategies. We thereby provide a scientifically backed yet practically applicable way to guide researchers, sponsors, implementers, and regulators toward better outcomes of APR for users and society.
| Original language | English |
|---|---|
| Article number | 101664 |
| Pages (from-to) | 1075-1090 |
| Number of pages | 16 |
| Journal | AI and Society |
| Volume | 40 |
| Issue number | 2 |
| Early online date | 1 Mar 2024 |
| DOIs | |
| Publication status | Published - Feb 2025 |
Keywords
- encoding regulation
- principles
- automatically processable regulation
- responsible
- systematization of knowledge
- fairness
- legal
- law
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