Abstract
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.
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Notes
- 1.
As this work is interdisciplinary, citations have been adapted to the Springer LNCS format; consequently, legal citations have been minimized and legal digest references have been provided as an alternative.
- 2.
For the purposes of this paper legal constructs and definitions are based on English or Canadian law.
- 3.
Halsbury’s Laws of England, 5th Ed., Vol. 1, Pg. 5.
- 4.
ibid.
- 5.
See, for example, Section  15(1) of the Canadian Charter of Rights and Freedoms (Constitution Act 1982, Enacted as Schedule B to the Canada Act 1982, 1982, c. 11 (U.K.)).
- 6.
For example England and Wales; and the majority of Canada.
- 7.
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Dahya, R., Morris, A. (2019). Toward a Conceptual Framework for Understanding AI Action and Legal Reaction. In: Meurs, MJ., Rudzicz, F. (eds) Advances in Artificial Intelligence. Canadian AI 2019. Lecture Notes in Computer Science(), vol 11489. Springer, Cham. https://doi.org/10.1007/978-3-030-18305-9_44
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