Griffith Dissertations

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Browsing Griffith Dissertations by Subject "AI regulations"

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    An Intelligent Regulation of Artificial Intelligence – A Brief Analysis of Accountability, Liability and Related Aspects
    (Griffith College, 2022) Nehzan Ekkeri, Mohammed
    This paper provides a legal analysis of some of the most important aspects concerning the regulation of artificial intelligence. The author begun with asking a few questions bearing in mind the broader perspective of how this technology will fundamentally affect humanity, and why it is so important to efficiently and effectively regulate artificial intelligence. As the technology is defined in a way that is capable of performing the tasks that would typically require a human brain, it is already smarter than humans in some aspects, and there is absolutely no limits to which it can grow in intelligence, as has been discussed going forward in the paper. The paper does not look at all the possible aspects of the AI regulations, but it does ponder upon the elements that are broadly and jurisprudentially important to specifically regulate artificial intelligence, and these elements are likely to be present in most of the AI regulations internationally, if at all the regulations are intended to be conforming with the global standard (this presumption is being made due to the kind of artificial intelligence-related policies are shaping across various jurisdictions in the personal opinion of the author). Hence, some of the most important elements (like the accountability, liability, data governance, and legal personality) required for the regulation of AI have been covered in this paper, the different ways in which the EU and China are dealing with this area of law, and critical aspect to EU legislation has been offered with a specific focus on labelling. Finally, an insight on how two of the most dominant regimes of the world are carving a path ahead in this area.
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