Papers

6

Total Citations

90

H-Index

5

About

S. Kate Devitt is a multidisciplinary researcher whose work sits at the intersection of philosophy, artificial intelligence, and autonomous systems, with a particular focus on trustworthiness, governance, and human-machine interaction. Her most influential contribution, "Trustworthiness of Autonomous Systems" (2018, 38 citations), established a foundational philosophical and empirical framework for understanding how trust functions in the design and adoption of robotic systems — a work that has shaped subsequent scholarship in human-robot interaction and AI ethics. Devitt's research extends into applied domains, examining how cognitive factors influence the uptake of autonomous agricultural technologies and exploring the contentious legal and ethical terrain surrounding lethal autonomous weapons systems. Her recurring attention to Australia's AI governance in security and defence contexts highlights her role as a policy-relevant voice on responsible military AI development, advocating for rigorous weapons review processes in line with international obligations. Across her body of work, Devitt bridges abstract philosophical inquiry with urgent real-world challenges, from farm adoption barriers to battlefield ethics. With growing citation impact and contributions spanning robotics safety, defence policy, and cognitive science, she has established herself as a distinctive and socially engaged thinker in the global conversation on trustworthy autonomous systems.

Research Focus

Key Achievements

5
H-Index
6
Papers
90
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Trustworthiness of Autonomous Systems
38 citations · 2018
📈 Most Prolific Year: 2021 (4 Papers)
🤝 Key Collaborators: 22
🏛 Institutions: Queensland University of Technology, The University of Queensland

Top Papers

  1. 1
  2. 2
  3. 3
    Lethal Autonomous Weapons
    19 citations · 2021
  4. 4
  5. 5
  6. 6
    Trust and Safety
    2 citations · 2021

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago