Machine Learning and Enculturation: Perspective of International Human Rights in China
IOSR Journal of Engineering (IOSR JEN), 2019, ISSN (e): 2250-3021, ISSN (p): 2278-8719 (UGC Journal No. 48995), pp. 70-74
5 Pages Posted: 18 Jun 2019
Date Written: May 21, 2019
The primacy of ML algorithms has proved it way suffice that it entails due considerations and ontologies on the formation and normativity of the semantic possibilities and dimensionality that they possess. The advent of algorithmic policing, has indicated a special outset, which is seen in the province of Xinjiang, China, concerning with corporate-based CX measures employed towards the due recognition and endurance of multiplicity of identities to exist. It is human privacy issue, where ML algorithms are employed towards generic utilities by governments and corporates in the West and other states, with their semantic freedoms. However, with no answerable solutions in the realm of international cyber law, and lack of active considerations of data protection laws, the enculturation of machine learning entails a problematic sense and reality, where human right violations by methods such as IoT, facial, text and speech recognition, the government in China has adequately entailed a mass surveillance reality, which is automated. Further, such automation, has road to discern beyond the practical ambit of privacy law and technicalities, due to the cultural dynamics of an identity with respect to individuals, in different domains. The paper intends to focus on a technological legitimacy of ML attributions with respect to identity as a factor in international human rights law. It poses questions based on case study of automated surveillance in China and its territories, taking specific accord of Xinjiang. Also, the paper analyses the scope of corporates approach to ML utility and data visualization entailed and dealt, with credibility to be established and rendered. The scope of the paper extends to the legal question of machine learning as a facilitator of human-oriented and receptive enculturation to lead AI systems to be regarded in the ambit of cultural property and intangible cultural heritage under UNESCO law. The conclusions clarify the possibilities and limitations in the factual scenarios of techno-social importance.
Keywords: International Human Rights Law, Enculturation, Machine Learning, Cultural Rapprochement, Algorithmic Policing
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