Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Ethical Considerations in AI‐Powered Nutrition Guidance
0
Zitationen
4
Autoren
2025
Jahr
Abstract
This study delves into the ethical aspects of dietary advice powered by AI and the societal and individual repercussions of this trend. Nutritional advice based on artificial intelligence (AI) raises new questions about data security, privacy, and the possibility of bias. AI is quickly becoming an integral part of the nutrition industry. This research focuses on ethical considerations in collecting and analyzing personal dietary data, protecting the confidentiality of people's health records, and reducing the impact of AI biases. Understanding the appropriate development and deployment of AI in the nutrition and healthcare domains is enhanced by this article's examination of these ethical aspects.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.245 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.102 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.468 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.429 Zit.