Rethinking trust-based artificial intelligence security: Protection against algorithmic discrimination
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 t...
| Autores: | , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2024 |
| País: | Brasil |
| Institución: | Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS) |
| Repositorio: | Veritas (Porto Alegre. Online) |
| Idioma: | portugués |
| OAI Identifier: | oai:ojs.revistaseletronicas.pucrs.br:article/45911 |
| Acceso en línea: | https://revistaseletronicas.pucrs.br/veritas/article/view/45911 |
| Access Level: | acceso abierto |
| Palabra clave: | artificial intelligence safety trustworthy algorithmic discrimination intersectional logic. inteligência artificial segurança confiança discriminação algorítmica lógica interseccional. inteligencia artificial seguridad confianza discriminación algorítmica |
| Sumario: | 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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