Artículo

Mapping the landscape of ethical considerations in explainable AI research

Resumen

With its potential to contribute to the ethical governance of AI, eXplainable AI (XAI) research frequently asserts its relevance to ethical considerations. Yet, the substantiation of these claims with rigorous ethical analysis and reflection remains largely unexamined. This contribution endeavors to scrutinize the relationship between XAI and ethical considerations. By systematically reviewing research papers mentioning ethical terms in XAI frameworks and tools, we investigate the extent and depth of ethical discussions in scholarly research. We observe a limited and often superficial engagement with ethical theories, with a tendency to acknowledge the importance of ethics, yet treating it as a monolithic and not contextualized concept. Our findings suggest a pressing need for a more nuanced and comprehensive integration of ethics in XAI research and practice. To support this, we propose to critically reconsider transparency and explainability in regards to ethical considerations during XAI systems design while accounting for ethical complexity in practice. As future research directions, we point to the promotion of interdisciplinary collaborations and education, also for underrepresented ethical perspectives. Such ethical grounding can guide the design of ethically robust XAI systems, aligning technical advancements with ethical considerations.
Autores
Quesada-Valverde, ME; Quesada-Roman, A
Título
Worldwide Trends in Methods and Resources Promoting Geoconservation, Geotourism, and Geoheritage
Afiliaciones
Universidad Costa Rica
Año
2023
DOI
10.3390/geosciences13020039
Tipo de acceso abierto
gold
Referencia
WOS:000938739000001
Artículo obtenido de:
WOS
Fuente
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