EPISTEMOLOGI KECERDASAN BUATAN (AI) DAN PENTINGNYA ILMU ETIKA DALAM PENDIDIKAN INTERDISIPLINER
Keywords:artificial intelligence, epistemologi, etika, interdisipliner
AbstractArtificial intelligence (AI) is an “umbrella term” used to describe simulations carried out by machines or devices, which are connected to an ocean of data, which resembles human intelligence. There is no doubt that AI has had a positive impact on many aspects of human life: economy, education, government, defense, and security. However, AI is like two sides of a coin which also has negative impacts. The multidimensional impacts caused by AI lead to a question about how to keep pace with AI progress while staying through the desired path. To answer this question, philosophy always begins with an epistemological analysis. By departing from facts and epistemological analysis about AI, the author came to believe in the importance of the role of interdisciplinary education. By using qualitative methods through literature analysis on AI as a material object, and philosophy, especially epistemology as a formal object, this essay offers the importance of AI and Ethics as a compounded lecture material in the era and disruption of AI. As a time-responsive educational institution, every university needs to consider the necessity for lecture materials on the basics of AI and Ethics for every student.
Association for Computing Machinery US Public Policy Council. 2017. Statement on Algorithmic Transparency and Accountability. Dalam USACM & ACM 2017. Diakses dari https://www.acm.org/binaries/content/assets/public-policy/2017_joint_statement_algorithms.pdf (diakses 02.02.2021).
Bloom, Benjamin S. 1956. Taxonomy of Educational Objectives. Michigan: Longmans.
Cutle, A. et al. 2019. Everyday Ethics for Artificial Intelligence. New York: IBM.
Dennett, Danel C. 1988. When Philosophers Encounter Artificial Intelligence. Daedalus. The MIT Press on behalf of American Academy of Arts & Sciences, Vol. 117, No. 1: pp. 283-295.
Girasa, Rosario. 2020. Artificial Intelligence as a Disruptive Technology. Cham: Palgrave Macmillan.
Descartes, Rene. 1637. Discourse on Method. Diterjemahkan oleh Laurence J. LaFleur. 1960. New York: Bobbs-Merrill.
European Group on Ethics in Science and New Technologies. 2018. Statement on Artificial Intelligence, Robotics and “Autonomous” Systems. Brussels: European Commission. Diakses dari https://www.unapcict.org/sites/default/files/2019-01/EC_AI-%20Robotics-%20and%20Autonomous%20Systems.pdf (diakses 28.01.2021).
Fumerton, Richard. 2017. Epistemology and Science: Some Metaphilosophical Reflections. Philosophical Topics. Vol. 45, No. 1: pp. 1-16.
Ganascia, Jean-Gabriel. 2010. Epistemology of AI Revisited in the Light of the Philosophy of Information. Knowledge and Policy • June 2010, 11. Diakses dari https://www.researchgate.net/publication/226009851.
Google. 2019. Perspectives on Issues in AI Governance. Mountain View: Google.
Graff, Harvey J. 2016. The “Problem” of Interdisciplinarity in Theory, Practice, and History. Social Sience History. Vol. 40, No.4 : pp. 775-803.
Gut, Przemyslaw dan Arkadiusz Gut. 2020. The Highlight of Descartes’ Epistemology. Annals of Philosophy. Vol. 68, No. 2: pp. 9-20.
Hawking, Stephen. 2017. Comments: The Ethics of Artificial Intelligence. Dalam Antonio M. Battro dan Stanislas Dehaene (eds). Power and Limits of Artificial Intelligence. Vatican: Pontificia Academia Scientiarum, Libreria Editrice Vaticana.
IEEE. 2019. Ethically Aligned Design. New York: IEEE.
Jobin, A. et al. 2019. Artificial Intelligence: the global landscape of ethics guidelines. Nature Machine Intelligence. Vol.1: pp.389-399.
Kementerian Perindustrian RI. Making Indonesia 4.0. Kementerian Perindustrian RI, 2016, Diakses dari https://kemenperin.go.id (diakses 16.04.2021).
King, Owen C. 2019. Machine Learning and Irresponsible Inference: Morally Assessing the Training Data for Image Recognition Systems. Dalam Don Berkich dan Matteo Vincenzo (eds). On the Cognitive, Ethical, and Scientific Dimensions of Artificial Intelligence. Cham: Springer.
Mainzer, Klaus. 2020. Artificial Intelligence. When do Machines Take Over? Cham: Springer.
OECD. 2019. Recommendation of the Council on Artificial Intelligence. OECD Legal Instruments. Diakses dari https://legalinstruments. oecd.org/en/instruments/OECD-LEGAL-0449 (diakses 11.12.2020).
Pabubung, Michael Reskiantio. 2021. Human Dignity Menurut Yohanes Paulus II dan Relevansi terhadap Kecerdasan Buatan (AI). Jurnal Teologi. Vol. 10, No. 1: pp. 49-70.
Pollock, John. 1990. Philosophy and Artificial Intelligence. Philosophical Perspectives , 1990, Vol. 4, Action Theory and Philosophy of Mind: pp. 461-498.
Ramar, Sachin. 2019. Artificial Intelligence. How It Changes the Future. t.k: t.p.
Rickert, H. 1921. Kulturwissenschaft und Naturwissenschaft. J.C.B. Tubingen: Max Niemeyer.
Rieder, Bernhard. 2020. Engines of Order: A Mechanology of Algorithmic Techniques. Amsterdam: Amsterdam University Press.
Schwab, Klaus. 2016. The Fourth Industrial Revolution. Geneva: World Economic Forum.
Shaw, G. 2019. The future computed: AI & Manufacturing. Seattle: Microsoft.
Simon, H.A. 1996. The Sciences of the Artificial. Massachusetts: MIT Press.
Soluciones, Decide. 2017. Let’s Talk About Advanced Analytics: A Brief Look at Artificial Intelligence. Medium. Diakses dari https://becominghuman.ai/lets-talk-about-advanced-analytics-a-brief-look-at-artificial-intelligence-bf1c7a7d3f96 (diakses 21.04.2021).
Soozandehfar, S.M.A. dan M.R. Adeli. 2016. A Critical Appraisal of Bloom’s Taxonomy. American Research Journal of English and Literature. Vol 2.
UNESCO. 2019. Beijing Consensus on Artificial Intelligence and Education. UNESDOC Digital Library, 2019. Diakses dari https:// unesdoc.unesco.org/ark:/48223/pf0000368303 (diakses 28.01.2021).
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