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EPISTEMOLOGI INTELIJEN DALAM NARASI NEGARA YANG BIAS TENTANG GERWANI DALAM G30S 1965 Firyasa, Nadilya Adhwari; Adian, Donny Gahral; Mukhlis, Meutia Irina
Multikultura Vol. 4, No. 3
Publisher : UI Scholars Hub

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Abstract

This study analyzed epistemic bias in the state’s narrative about Gerwani during the 1965 G30S event using the epistemology of intelligence approach. Through a qualitative philosophical method, this research evaluated the state’s processes of information acquisition, interpretation, and dissemination, focusing on the identification of political bias, gender bias, confirmation bias, framing effects, overconfidence bias, as well as the use of misinformation and disinformation. The findings revealed that the state’s narrative about Gerwani was systematically constructed to support the New Order regime’s political agenda through the manipulation of information. These biases led to dangerous epistemic failures and justified violence and the erasure of women’s historical roles. The study concluded that a Pancasila-based philosophy of intelligence, especially the epistemology of intelligence, was necessary to prevent future misuse of intelligence practices. It was recommended that state intelligence agencies prioritize truth, justice, and human rights principles to create an ethical and accountable intelligence system aligned with democratic values.
MEMPERTANYAKAN KEYAKINAN PADA KEMAMPUAN <i>ARTIFICIAL INTELLIGENCE</i> KHUSUSNYA <i>STRONG AI</i>: SEBUAH PERSPEKTIF REALIS KRITIS Mukhlis, Meutia Irina
Multikultura Vol. 4, No. 4
Publisher : UI Scholars Hub

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Artificial intelligence (AI) is one of the most popular albeit divisive topics up for debate today. On the one hand, die-hard proponents of AI believe that AI may one day come close to possessing human-level intelligence or even supersedes it (this view of AI is called strong AI) while on the other, some seem unconvinced of the promises of strong AI and prefer to believe in a weaker form of AI, an AI that might be able to do some functions humans assign to them or simulate basic level of human intelligence. This paper leans more toward the latter’s view. Using critical realism and neo-Aristotelian virtue ethics as its theoretical framework and abduction as a method of reasoning and argumentation, this paper argues that belief in strong AI is misguided and caused by a flaw in the theoretical framework used to understand reality and the human condition, particularly in its ontological and ethical assumptions. On this view, the position of strong AI could not be upheld, since human intelligence is made up of different forms of intelligence including logical/rational, emotional and moral intelligence that could not all be neatly reduced and understood as a form of computation. Key words: Human Intelligence; Artificial Intelligence; Strong AI; Weak AI; Critical Realism; Neo-Aristotelian Virtue Ethics