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Deontology and safe artificial intelligence
W D'Alessandro - Philosophical Studies, 2024 - Springer
The field of AI safety aims to prevent increasingly capable artificially intelligent systems from
causing humans harm. Research on moral alignment is widely thought to offer a promising …
causing humans harm. Research on moral alignment is widely thought to offer a promising …
Special Issue on Responsible Recommender Systems Part 2
Recommender systems are information filtering systems that suggest items tailored to
individual users or user groups. They represent a powerful machine learning tool to support …
individual users or user groups. They represent a powerful machine learning tool to support …
iHSPRec: Image Enhanced Historical Sequential Pattern Recommendation
Collaborative filtering faces sparsity and cold start problems, while content-based
approaches suffer from overspecialization and lack of personalization. Systems such as …
approaches suffer from overspecialization and lack of personalization. Systems such as …