Luke Thorburn

Luke Thorburn holds a Doctor of Philosophy in Informatics and is actively engaged in interdisciplinary research at the intersection of artificial intelligence, ethics, and social systems. His work contributes to UN Sustainable Development Goals, particularly focusing on equitable technology design and ethical AI implementation. He specializes in analyzing systemic risks of recommender systems, ethical frameworks for AI influence, and sociotechnical approaches to AI safety.

Key research areas include moral philosophy in AI, machine learning ethics, and the societal impacts of social media algorithms. Thorburn has explored topics such as societal sorting in recommendation systems, error analysis in preference models, and frameworks for evaluating ethical influence (SHAPE). His recent work addresses pluralistic AI perspectives, democratic levels for AI governance, and middleware solutions for social media regulation.

Thorburn's publications span conferences like ACM Recommender Systems, IJCAI, and AAMAS, with a focus on peer-reviewed contributions. He collaborates internationally on projects related to AI safety and ethical algorithmic design. His research emphasizes bridging technical and social dimensions of AI to ensure technologies align with human values and societal well-being.