Trust in Artificial Intelligence
By Nicole Gillespie Building trust in AI systems and technologies is critical for our future. Drawing on my extensive research into the subject, I will highlight key insights from our multi-country survey to answer questions ranging from whether people trust in AI systems, to the expectations of its governance and use, and what can be done to support community trust in AI. Our research also highlights several pathways to enhancing trust and acceptance of AI systems. I will conclude this module with an introduction to the business model and practical guidelines on achieving trustworthy AI, which we developed as part of our research.
Read, Watch, and Listen
- Trust in Artificial Intelligence: A Five Country Study, Gillespie, N., Lockey, S., & Curtis, C. (2021). "Trust in Artificial Intelligence: A Five Country Study." The University of Queensland and KPMG Australia. doi: 10.14264/e34bfa3
- Achieving Trustworthy AI: A Model for Trustworthy Artificial Intelligence, Gillespie, N., Curtis, C., Bianchi, R., Akbari, A., and Fentener van Vlissingen, R. (2020). "Achieving Trustworthy AI: A Model for Trustworthy Artificial Intelligence. KPMG and The University of Queensland Report." doi.org/10.14264/ca0819d
- A review of trust in Artificial Intelligence: Challenges, Vulnerabilities and Future Directions, Lockey, S., Gillespie, N., Holms, D., & Someh, I. (2021). "A review of trust in Artificial Intelligence: Challenges, Vulnerabilities and Future Directions." Hawaii International Conference on System Sciences http://hdl.handle.net/10125/71284
- The Trust, Ethics and Governance Alliance,