Pengaruh Penggunaan Artificial Intelligent dalam Kehidupan Manusia
DOI:
https://doi.org/10.30997/karimahtauhid.v4i1.17218Keywords:
Artificial Intelligence, manusia, teknologi, dampak, chatbot, algoritmaAbstract
Kecerdasan buatan atau Artificial Intelligent yang biasa disebut AI adalah sebuah produk hasil perkembangan teknologi yang memiliki banyak dampak, baik positif maupun negatif. Kecerdasan buatan AI saat ini telah dapat ditemukan dengan mudah pada berbagai segi kehidupan manusia mulai dari program komputer, kendaraan dan gawai. Hal ini bagi sebagian orang cukup menghawatirkan, namun adapula yang menganggap hal tersebut sebuah kemajuan peradaban. AI yang awal mulanya hanya berkisar pada kemajuan teknologi industri, kini merangkap sebagai bagian dari pembahasan ontologis, khususnya tema-tema mengenai kesadaran. Kecerdasan AI dalam mensimulasikan tidak diragukan lagi, terlebih dengan adanya chatbot dan algoritma.
References
Amodei, D., & Hernandez, D. (2018). AI and compute.
Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. W. W. Norton & Company.
Brynjolfsson, E., & McAfee, A. (2017). Machine, platform, crowd: Harnessing our digital future. W. W. Norton & Company.
Cave, S., & Dignum, V. (2019). The ethics of artificial intelligence: A roadmap. In The Oxford handbook of ethics of AI (pp. 107–132). Oxford University Press.
Chalmers, D. J. (2010). The foundations of machine consciousness. In K. Frankish & W. Ramsey (Eds.), The Cambridge handbook of artificial intelligence (pp. 683–702). Cambridge University Press.
Chui, M., Manyika, J., & Miremadi, M. (2018). The AI revolution: The next digital frontier. McKinsey Global Institute.
Dastin, J. (2018, September 5). Amazon scrapped secret AI recruiting tool that showed bias against women. Reuters.
Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep learning. MIT Press.
Goodfellow, I., & Shlens, J. (2015). Explaining and harnessing adversarial examples.
Ha, D., & Schmidhuber, J. (2018). World models.
Hinton, G., Osindero, S., & Teh, Y. W. (2006). A fast learning algorithm for deep belief nets. Neural Computation, 18(7), 1527–1554.
Joulin, A., Grave, E., Mikolov, T., Bojanowski, P., & Douze, M. (2017). Bag of tricks for efficient text classification.
Kaplan, J., & Haenlein, M. (2019). Siri, Siri, in my hand: Who’s the fairest of them all? Mobile Marketing, 18(1), 56–73.
Koller, D., & Friedman, N. (2009). Probabilistic graphical models: Principles and techniques. MIT Press.
McCarthy, J. (1956). Proposal for the Dartmouth Summer Research Project on Artificial Intelligence. Dartmouth College.
Russell, S., & Norvig, P. (2020). Artificial intelligence: A modern approach (4th ed.). Pearson.
Turing, A. M. (1950). Computing machinery and intelligence. Mind, 59(236), 433–460.
Vincent, J. (2023). AI in healthcare: Opportunities, risks, and ethical challenges. Journal of Health Innovation, 12(2), 88–101.
Zeng, D., & Li, X. (2019). Research on AI technology and its application in medical field. Journal of Medical Systems, 43(12), 289.
Yang, L., & Luo, J. (2020). A review on deep learning applications in computer vision. Journal of Machine Learning Research, 21(1), 1-21.
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Copyright (c) 2025 Abilpa siti Kholifah, Muhammad Andhika Nurzaeni, Frazelia Arsyanda Chasya Putri, Muhammad Kafka Navisa Saripudin, Pajru Deska Rabbani, Muhammad Encep

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