Peter Smith

University of Sunderland

Papers

4

Total Citations

106

H-Index

4

About

Peter Smith is a leading voice at the intersection of artificial intelligence, healthcare, and disability ethics. His research critically examines the gap between the promise of AI and its real-world substance, particularly for marginalized communities. In his highly cited 2020 work, “Artificial intelligence and disability: too much promise, yet too little substance?” (63 citations), Smith challenges the field to move beyond hype toward tangible, equitable solutions. He has also made foundational contributions to health informatics, notably through a landmark case study on integrated electronic prescribing and robotic dispensing (2013, 23 citations), which quantified significant operational benefits in a 1,000-bed hospital. More recently, Smith has explored the ethical requirements of AI in professional healthcare decision-making (2021, 14 citations) and, drawing from lived experience, co-authored a unique analysis of AI products for disabled people (2024, 6 citations). His work is distinguished by its insistence that technological innovation must be accountable to ethical standards and the voices of those it claims to serve. Smith’s research is essential reading for anyone interested in responsible AI, inclusive design, and the future of digital health.

Research Focus

Key Achievements

4
H-Index
4
Papers
106
Total Citations
27
Avg Citations/Paper
🏆 Most Cited Paper
Artificial intelligence and disability: too much promise, yet too little substance?
63 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Sunderland

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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