Aspen Lillywhite

University of Alberta

Papers

1

Total Citations

5

H-Index

1

About

Aspen Lillywhite is a researcher at the intersection of artificial intelligence, machine learning, and disability studies, with a focused commitment to ensuring that technological progress serves marginalized communities. Her most cited work, "Coverage of well-being within artificial intelligence, machine learning and robotics academic literature: the case of disabled people" (2023), has garnered 5 citations and critically examines how AI and robotics literature addresses—or fails to address—the well-being of disabled individuals. This contribution highlights a significant gap in the field, challenging researchers and practitioners to move beyond abstract innovation toward inclusive, human-centered design. Lillywhite’s research underscores the ethical imperative of embedding disability perspectives into AI development, advocating for technologies that genuinely enhance quality of life rather than perpetuate exclusion. Her work is a vital call to action for the AI community, urging a shift from purely technical benchmarks to holistic measures of societal impact. For students and researchers, Lillywhite exemplifies how interdisciplinary scholarship can reshape the trajectory of emerging technologies, making her a compelling voice in the ongoing dialogue about equity and justice in AI.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Coverage of well-being within artificial intelligence, machine learning and robotics academic literature: the case of disabled people
5 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: University of Alberta

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago