Rethinking trust-based artificial intelligence security

Protection against algorithmic discrimination

Authors

DOI:

https://doi.org/10.15448/1984-6746.2024.1.45911

Keywords:

artificial intelligence, safety, trustworthy, algorithmic discrimination, intersectional logic.

Abstract

The rapid rise of artificial intelligence (AI) raises ethical challenges, especially related to the trust in this technology and its implications for various demographic groups. This text takes a phenomenological and hermeneutic philosophical approach, grounded in Husserl and Heidegger, to explore the existential safety of AI and its connection to trust. Trust in AI is examined not only as a technical issue but as a phenomenon linked to complex social dynamics, challenging reflection on discriminatory influences in intelligent systems. The theoretical framework incorporates recent contributions on trust in AI to intensify the production of literature on trust-based AI safety and interacts with the Hiroshima Process International Code of Conduct for Advanced AI Systems.

 

 

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Author Biographies

Marcelo Pasetti, Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), Porto Alegre, RS, Brasil.

PhD student in Philosophy at PUCRS. Master in Constitutional Foundations of Public Law and Private Law at PUCRS.

Nythamar de Oliveira, Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), Porto Alegre, RS, Brasil.

Ph.D. in Philosophy from the State University of New York. Full Professor at PUCRS.

References

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Published

2024-08-19

How to Cite

Pasetti, M., & Oliveira, N. de. (2024). Rethinking trust-based artificial intelligence security: Protection against algorithmic discrimination. Veritas (Porto Alegre), 69(1), e45911. https://doi.org/10.15448/1984-6746.2024.1.45911

Issue

Vol. 69 No. 1 (2024): Single Volume - Continuous flow

Section

Ethics and Political Philosophy

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