Ethical Considerations in the Age of Artificial Intelligence: Balancing Innovation and Social Values
DOI:
https://doi.org/10.58812/wsshs.v1i02.191Keywords:
Ethical, Considerations, Artificial Intelligence, Innovation, Social Values, BibliometricAbstract
This research presents a comprehensive analysis of the ethical considerations in the age of artificial intelligence (AI) through bibliometric exploration and VOSviewer visualizations. The study systematically reviews scholarly literature to uncover prevailing themes, influential works, key authors, and emerging trends within AI ethics. The co-authorship analysis identifies collaborative networks, emphasizing interdisciplinary engagement in addressing ethical challenges. Keyword co-occurrence analysis highlights core themes, including big data, social value, algorithm, and ethical aspect, underscoring the multifaceted nature of AI ethics. Citation analysis reveals seminal works that have significantly shaped the discourse. The findings offer insights into the dynamic evolution of AI ethics, where diverse considerations intersect, from technology's societal impact to stakeholder management. The study's implications extend to researchers, policymakers, and practitioners, guiding responsible AI development aligned with human values.
References
D. Jobson, V. Mar, and I. Freckelton, “Legal and ethical considerations of artificial intelligence in skin cancer diagnosis,” Australasian Journal of Dermatology, vol. 63, no. 1, pp. e1–e5, 2022.
W. H. Deng, N. Yildirim, M. Chang, M. Eslami, K. Holstein, and M. Madaio, “Investigating Practices and Opportunities for Cross-functional Collaboration around AI Fairness in Industry Practice,” in Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023, pp. 705–716.
L. Belenguer, “AI bias: exploring discriminatory algorithmic decision-making models and the application of possible machine-centric solutions adapted from the pharmaceutical industry,” AI and Ethics, vol. 2, no. 4, pp. 771–787, 2022.
T. John, “The Ethical Considerations of Artificial Intelligence in Clinical Decision Support,” in Proceedings of the Wellington Faculty of Engineering Ethics and Sustainability Symposium, 2022.
J. Fjeld, N. Achten, H. Hilligoss, A. Nagy, and M. Srikumar, “Principled artificial intelligence: Mapping consensus in ethical and rights-based approaches to principles for AI,” Berkman Klein Center Research Publication, no. 2020–1, 2020.
A. F. T. Winfield and M. Jirotka, “Ethical governance is essential to building trust in robotics and artificial intelligence systems,” Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol. 376, no. 2133, p. 20180085, 2018.
A. F. T. Winfield and M. Jirotka, “Ethical governance is essential to building trust in robotics and artificial intelligence systems,” Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol. 376, no. 2133, p. 20180085, 2018.
A. Henriksen, S. Enni, and A. Bechmann, “Situated accountability: Ethical principles, certification standards, and explanation methods in applied AI,” in Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 2021, pp. 574–585.
A. Henriksen, S. Enni, and A. Bechmann, “Situated accountability: Ethical principles, certification standards, and explanation methods in applied AI,” in Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 2021, pp. 574–585.
J. F. Besek and R. York, “Toward a sociology of biodiversity loss,” Soc Curr, vol. 6, no. 3, pp. 239–254, 2019.
R. Gorur, L. Hoon, and E. Kowal, “Computer Science Ethics Education in Australia–A Work in Progress,” in 2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), IEEE, 2020, pp. 945–947.
D. Horton, S. A. McIlraith, N. Wang, M. Majedi, E. McClure, and B. Wald, “Embedding Ethics in Computer Science Courses: Does it Work?,” in Proceedings of the 53rd ACM Technical Symposium on Computer Science Education-Volume 1, 2022, pp. 481–487.
D. E. Acuna and L. Liang, “Are AI ethics conferences different and more diverse compared to traditional computer science conferences?,” in Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 2021, pp. 307–315.
D. E. Acuna and L. Liang, “Are AI ethics conferences different and more diverse compared to traditional computer science conferences?,” in Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 2021, pp. 307–315.
N. Mehrabi, F. Morstatter, N. Saxena, K. Lerman, and A. Galstyan, “A survey on bias and fairness in machine learning,” ACM computing surveys (CSUR), vol. 54, no. 6, pp. 1–35, 2021.
M. Katell et al., “Toward situated interventions for algorithmic equity: lessons from the field,” in Proceedings of the 2020 conference on fairness, accountability, and transparency, 2020, pp. 45–55.
J. Stypińska and A. Franke, “AI revolution in healthcare and medicine and the (re-) emergence of inequalities and disadvantages for ageing population,” Frontiers in Sociology, vol. 7, p. 1038854, 2023.
V. Bogina, A. Hartman, T. Kuflik, and A. Shulner-Tal, “Educating software and AI stakeholders about algorithmic fairness, accountability, transparency and ethics,” International Journal of Artificial Intelligence in Education, pp. 1–26, 2021.
J. Maan, “Deep Learning-driven Explainable AI using Generative Adversarial Network (GAN),” in 2022 IEEE 19th India Council International Conference (INDICON), IEEE, 2022, pp. 1–5.
S. U. R. Malik, “Moving toward 5G: Significance, differences, and impact on quality of experience,” IEEE Consumer Electronics Magazine, 2020.
P. William, N. Yogeesh, S. Vimala, and P. Gite, “Blockchain Technology for Data Privacy using Contract Mechanism for 5G Networks,” in 2022 3rd International Conference on Intelligent Engineering and Management (ICIEM), IEEE, 2022, pp. 461–465.
U. B. Jaman, A. H. Nuraeni, B. P. Pitaloka, and K. Z. Gadri, “Juridical Analysis Simplification of Environmental Permits Integrated Through Business Permits Regulated in Law Number 11 of 2020 Concerning Job Creation,” Libertas Law Journal, vol. 1, no. 1, pp. 10–22, 2022.
J. Maming and A. Ardhiyansyah, “The Influence of Service Quality Level and Price on JNE Customer Satisfaction Bandung City Branch Express,” The Es Economics and Entrepreneurship, vol. 1, no. 01, pp. 11–16, 2022.
S. Tolmeijer, M. Christen, S. Kandul, M. Kneer, and A. Bernstein, “Capable but amoral? Comparing AI and human expert collaboration in ethical decision making,” in Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, 2022, pp. 1–17.
J. M. de Freitas, F. R. de Souza, and H. S. Bernardino, “Evolving controllers for mario AI using grammar-based genetic programming,” in 2018 IEEE Congress on Evolutionary Computation (CEC), IEEE, 2018, pp. 1–8.
R. I. Moraru, R. Munteanu, and M. P. Stelea, “The need for ethical reasoning in occupational health and safety management: a romanian perspective,” Polish Journal of Management Studies, vol. 2013, no. 8, pp. 191–200, 2013.
S. Kassir, L. Baker, J. Dolphin, and F. Polli, “AI for hiring in context: a perspective on overcoming the unique challenges of employment research to mitigate disparate impact,” AI and Ethics, pp. 1–24, 2022.
A. Toniato, O. Schilter, and T. Laino, “The Role of AI in Driving the Sustainability of the Chemical Industry,” Chimia, vol. 77, no. 3, p. 144, 2023.
F.-Y. Wang, “Social media and the jasmine revolution,” IEEE Intelligent Systems, vol. 26, no. 2, pp. 2–4, 2011.
Y. Iskandar, J. Joeliaty, U. Kaltum, and H. Hilmiana, “Bibliometric Analysis on Social Entrepreneurship Specialized Journals,” Journal: WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT, pp. 941–951, 2021.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Rochmi Hastuti, Syafruddin
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Facebook 
Instagram 
Twitter 
Youtube 
+62 821 1557 5700 
info@westscience-press.com 