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Trustworthy AI

Trustworthy AI

Trustworthy AI Theme Leads: Ed KeedwellZhivko ZhelevKe Li, Wenjie Ruan

The future success of artificial intelligence will depend on the construction of systems that people can work with and trust.  It will also require an ongoing public discussion around the social engagement required to enable and encourage the development and widespread use of such systems. The Trustworthy AI theme of the Institute for Data Science and AI is focused on facilitating research and discussion around the barriers to, and the practical and ethical implications of the implementation of trustworthy and human-centred AI systems. Topics of interest include, but are not limited to: 

  • Explainable AI 

  • AI Accountability 

  • AI Safety 

  • AI Vulnerability 

  • Fairness, transparent and ethical AI 

  • Robustness and verification of AI systems 

  • Adversarial Attacks and Defence in AI models 

  • Human-AI interaction 

  • Interactive AI systems 

  • Regulation, standards and organisational readiness for implementation of AI 

  • Case studies of Trustworthy AI 

  • Future of work 



Ke Li: / 

Wenjie Ruan: / website: 

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