Artificial Intelligence and Ethics: Building an Artificial Intelligence System that Ensures Privacy and Social Justice
Abstract
The term "artificial intelligence" (AI) refers to technology becoming increasingly prevalent in many facets of human life. Nevertheless, significant concerns regarding social justice and privacy in the application of AI are also being noticed. This article explores the significance of ethics in developing artificial intelligence systems that can protect individuals' privacy and promote social justice. A qualitative methodology was used for this study, which consists of a review of previous research. As a result of this research, we describe what is artificial intelligence with examples of its use, ethics with its functions, how to embed ethics into artificial intelligence technologies, including robot and machine ethics. The following is an examination of AI and ethics from the point of view of privacy and social justice. In the context of the use of AI, offer some suggestions about constructing a more moral and accountable AI system.
References
Anderson, M., & Anderson, S. L. (Eds.). (2011). Machine ethics. Cambridge University Press.
Arakpogun, E. O., Elsahn, Z., Olan, F., & Elsahn, F. (2021). Artificial intelligence in Africa: Challenges and opportunities. The fourth industrial revolution: Implementation of artificial intelligence for growing business success, 375-388.
Arrieta, A. B., Díaz-Rodríguez, N., Del Ser, J., Bennetot, A., Tabik, S., Barbado, A., ... & Herrera, F. (2020). Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI. Information fusion, 58, 82-115.
Arzt, A., Frostel, H., Gadermaier, T., Gasser, M., Grachten, M., & Widmer, G. (2015, June). Artificial intelligence in the concertgebouw. In Twenty-Fourth International Joint Conference on Artificial Intelligence.
Baker-Brunnbauer, J. (2021). Management perspective of ethics in artificial intelligence. AI and Ethics, 1(2), 173-181.
Bertens, K. (1993). Etika K. Bertens (Vol. 21). Gramedia Pustaka Utama.
Boddington, P. (2017). Towards a code of ethics for artificial intelligence (pp. 27–37). Cham: Springer.
Cath, C. (2018). Governing artificial intelligence: ethical, legal and technical opportunities and challenges. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 376(2133), 20180080.
Cook, D. J., Augusto, J. C., & Jakkula, V. R. (2009). Ambient intelligence: Technologies, applications, and opportunities. Pervasive and mobile computing, 5(4), 277-298.
Cutler, A., Pribić, M., & Humphrey, L. (2019). Everyday ethics for artificial intelligence. PDF, IBM Corporation.
Gu, J., Wang, Y., Cho, K., & Li, V. O. (2018, April). Search engine guided neural machine translation. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 32, No. 1).
Hashimoto, D. A., Rosman, G., Rus, D., & Meireles, O. R. (2018). Artificial intelligence in surgery: promises and perils. Annals of surgery, 268(1), 70-76.
How, M. L., Cheah, S. M., Chan, Y. J., Khor, A. C., & Say, E. M. P. (2020). Artificial intelligence-enhanced decision support for informing global sustainable development: A human-centric AI-thinking approach. Information, 11(1), 39.
Kattsoff, L. O. (1965). Morals and Ethics. Making Moral Decisions: An Existential Analysis, 1-10.
Li, X., & Zhang, T. (2017, April). An exploration on artificial intelligence application: From security, privacy and ethic perspective. In 2017 IEEE 2nd International Conference on Cloud Computing and Big Data Analysis (ICCCBDA) (pp. 416–420). IEEE.
Lin, P., Abney, K., & Jenkins, R. (Eds.). (2017). Robot ethics 2.0: From autonomous cars to artificial intelligence. Oxford University Press.
Lu, H., Li, Y., Chen, M., Kim, H., & Serikawa, S. (2018). Brain Intelligence: goes beyond artificial intelligence. Mobile Networks and Applications, 23, 368-375.
Mazurek, G., & Małagocka, K. (2019). Perception of privacy and data protection in the context of the development of artificial intelligence. Journal of Management Analytics, 6(4), 344-364.
McCarthy, J. (2007). What is artificial intelligence.
Mittelstadt, B. (2019). Principles alone cannot guarantee ethical AI. Nature machine intelligence, 1(11), 501-507.
Moleong, L. J. (2011). Qualitative Research Methodology. Bandung: Remaja Rosdakarya.
Morley, J., Floridi, L., Kinsey, L., & Elhalal, A. (2020). From what to how: an initial review of publicly available AI ethics tools, methods and research to translate principles into practices. Science and engineering ethics, 26(4), 2141–2168.
Nath, R., & Sahu, V. (2020). The problem of machine ethics in artificial intelligence. AI & society, 35, 103-111.
Poerwadarminta. (1985). Kamus Besar Bahasa Indonesia. Jakarta.
Sloan, R. H., & Warner, R. (2020). Beyond bias: Artificial intelligence and social justice. Va. JL & Tech., 24, 1.
Srinivasan, D., Cheu, R. L., & Tan, C. W. (2003, October). Development of an improved ERP system using GPS and AI techniques. In Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems (Vol. 1, pp. 554-559). IEEE.
Sun, X. Y., & Ye, B. (2022). Privacy-preserving or trapping? AI & SOCIETY, pp. 1–11.
Tulshan, A. S., & Dhage, S. N. (2019). Survey on virtual assistant: Google assistant, siri, Cortana, Alexa. In Advances in Signal Processing and Intelligent Recognition Systems: 4th International Symposium SIRS 2018, Bangalore, India, September 19–22, 2018, Revised Selected Papers 4 (pp. 190-201). Springer Singapore.
Copyright (c) 2023 International Journal of Science and Society
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
.png)
.jpg)
.png)
.png)
.png)
.png)
1.png)
.jpg)
-modified.png)
-modified.png)
-modified.png)
