Ruth Ayllet
Papers
1
Total Citations
13
H-Index
1
About
Ruth Ayllet is a researcher whose work bridges artificial intelligence, ethics, and human-centred design, with a particular focus on the moral implications of AI companions. Her most-cited paper, "Advocating an ethical memory model for artificial companions from a human-centred perspective" (2011, 13 citations), proposes a framework for designing AI systems that can form ethical, context-aware memories—a critical contribution to ensuring that artificial companions respect user privacy, autonomy, and emotional well-being. This work positions Ayllet at the forefront of a growing field that questions how machines should remember and forget in human interactions. Though her citation count reflects a niche but impactful area, her research has informed debates on AI ethics, particularly in robotics and assistive technologies. Ayllet’s scholarship is notable for its human-centred approach, challenging technocentric models by foregrounding the lived experiences of users. For students and researchers exploring the intersection of AI, memory, and morality, her work offers a foundational perspective on designing technology that remains ethically accountable to the people it serves.
Research Focus
Key Achievements
Top Papers
- 1