Facing constitutive and normative aspects of different philosophical currents when approaching AI Ethics
Resumo
Integrating artificial intelligence (AI), particularly machine learning, into legal decision-making is gaining prominence across various jurisdictions. While AI systems can offer efficiency and support in legal decisions, they also raise significant ethical concerns. This paper explores how AI systems, designed with underlying philosophical frameworks such as deontology and utilitarianism, can lead to conflicting outcomes when applied to legal judgments. The paper argues for a multidimensional ethical approach to AI in law that aligns with the legal philosophy of the respective jurisdiction while ensuring transparency, auditability, and fairness in decision-making processes.
Palavras-chave:
Artificial Intelligence in Law, Legal Decision-Making, Legal Philosophy
Referências
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Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., Luetge, C., Madelin, R., Pagallo, U., Rossi, F., et al. (2018). Ai4people—an ethical framework for a good ai society: opportunities, risks, principles, and recommendations. Minds and machines, 28:689–707.
Jobin, A., Ienca, M., and Vayena, E. (2019). The global landscape of ai ethics guidelines. Nature machine intelligence, 1(9):389–399.
Mittelstadt, B. D., Allo, P., Taddeo, M., Wachter, S., and Floridi, L. (2016). The ethics of algorithms: Mapping the debate. Big Data & Society, 3(2):2053951716679679.
Seow, J. W., Lim, M. K., Phan, R. C., and Liu, J. K. (2022). A comprehensive overview of deepfake: Generation, detection, datasets, and opportunities. Neurocomputing, 513:351–371.
Shoaib, M. R., Wang, Z., Ahvanooey, M. T., and Zhao, J. (2023). Deepfakes, misinformation, and disinformation in the era of frontier ai, generative ai, and large ai models. In 2023 International Conference on Computer and Applications (ICCA), pages 1–7. IEEE.
Tsamados, A., Aggarwal, N., Cowls, J., Morley, J., Roberts, H., Taddeo, M., and Floridi, L. (2021). The ethics of algorithms: key problems and solutions. Ethics, governance, and policies in artificial intelligence, pages 97–123.
Whittlestone, J., Nyrup, R., Alexandrova, A., and Cave, S. (2019). The role and limits of principles in ai ethics: Towards a focus on tensions. In Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, pages 195–200.Dyer, S., Martin, J. and Zulauf, J. (1995) “Motion Capture White Paper”, http://reality.sgi.com/employees/jam_sb/mocap/MoCapWP_v2.0.html, December.
Publicado
27/11/2024
Como Citar
PINTO, Fernando; GARCIA, Ana Cristina.
Facing constitutive and normative aspects of different philosophical currents when approaching AI Ethics. In: CONFERÊNCIA LATINO-AMERICANA DE ÉTICA EM INTELIGÊNCIA ARTIFICIAL, 1. , 2024, Niteroi.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2024
.
p. 133-136.
DOI: https://doi.org/10.5753/laai-ethics.2024.32470.
