Ethics and Social Impacts of AI
This cluster of papers explores the ethical implications of artificial intelligence, focusing on fairness, algorithmic bias, and accountability in the context of big data, machine learning, and surveillance. It delves into topics such as the societal impact of AI, discrimination in algorithms, transparency in decision-making processes, and the challenges of ensuring fairness and ethics in AI applications.
Papers listed on taxonomy pages are the top few works per node from the OpenAlex snapshot. That list is not exhaustive and is not an endorsement. The topic map and the journal registry remain separate: there is still no authoritative topic-to-venue or topic-to-organization edge. Search is a lexical lookup, not a claim that a venue publishes a topic.