A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
Giovanni Sartor
This paper examines the relationship between AI ethics and law, arguing that human rights and social values can serve as a common normative framework to coordinate their demands.
Asifullah Khan, Muhammad Zaeem Khan, Saleha Jamshed, et al.
A comprehensive survey of LLM advances covering reasoning, adaptability, efficiency, and ethics, highlighting techniques like Chain-of-Thought, instruction tuning, and RLHF, and identifying future research directions.
Zhisheng Chen
This study addresses algorithmic discrimination in AI-enabled recruitment, proposing technical and managerial solutions to mitigate bias.
W. Holmes, Kaśka Porayska‐Pomsta, Ken Holstein, et al.
This paper surveys 60 AIED researchers to identify ethical gaps and proposes a multidisciplinary framework for fairness, accountability, transparency, bias, autonomy, agency, and inclusion in AI education.