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Research project

Foundations of a Trustworthiness Risk Assessment Framework for AI Systems (F-TRAIDS)

Project overview

This projected developed knowledge models and methodology for trustworthiness risk assessment based on ISO27005 contributing to the definition of the blueprint for implementation of trustworthy AI.

Implement of Trustworthiness Risk Assessment Framework including OSS software and knowledge models open source. Demonstrate trustworthiness risk assessment for representative AI system use cases. Dissemination including Workshop to TAS community, promotional material including web presence and video. Publication on modelling trustworthiness risks.

Roadmap for creation of an open trustworthiness risk assessment community as part of the TAS Hub.

Staff

Lead researcher

Professor Michael Boniface CEng, FIET

Professorial Fellow in Information Techn

Research interests

  • Artifical intelligence for health systems
  • Human centred interactive systems
  • Federated systems management 
Other researchers

Dr Stephen Phillips

Principal Enterprise Fellow

Research interests

  • Cyber-security
  • Risk management
  • Secure systems

Dr Steve Taylor

Principal Enterprise Fellow

Professor Mike Surridge

Professorial Fellow Information Tech

Research interests

  • Computer Networks Security
  • Automated cyber security risk assessment and management

Dr Laura Carmichael LLB (Hons), MSc (Dist.), PhD

Research Fellow

Research interests

  • Data Governance
  • Data Sharing Models
  • Data Protection Law

Collaborating research institutes, centres and groups

IT Innovation

We develop and apply advances in IT technology, working with academic and industrial partners.

Digital Health and Biomedical Engineering

Our group brings together engineers and computer scientists to discover new approaches to diagnose and manage health and medical conditions.
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