Artificial Intelligence (AI), refers to computational components that process, classify, make decisions, or act on information from data inputs, and in recent years more capable autonomous systems with realtime decision-making properties have become tenable. In this landscape it becomes imperative to consider the socio-technical implications of such systems, particularly at the legal level. This work facilitates this discussion, broadly highlighting the relationship between law and AI, and proposes a conceptual framework to understand the intersection between these disciplines. AI designers and legal reasoners are encouraged to apply this work to identify the connection and constraints involved when developing AI systems, and the legal responses to these systems.
CITATION STYLE
Dahya, R., & Morris, A. (2019). Toward a Conceptual Framework for Understanding AI Action and Legal Reaction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11489 LNAI, pp. 453–459). Springer Verlag. https://doi.org/10.1007/978-3-030-18305-9_44
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