School of Engineering

Responsible AI Innovation

"Responsible AI innovation means developing and using technology in a way that is ethical, human-centred, and aligned with the goals of industry, and society. We combine state-of-the-art research with practical experience in technology transfer, governance of emerging technologies, and multi-stakeholder engagement to promote AI for the common good"

Dr. Ricardo Chavarriaga

Expertise and Services

Expertise

  • Responsible research, innovation and AI governance and certification 
  • Trustworthiness-by-design in AI systems and AI risk management 
  • Stakeholder engagement, AI literacy and scientific diplomacy 
  • High-impact AI applications: neurotechnology, health and critical infrastructure 

The "Responsible AI Innovation" (RAI) group focuses on the technical, governance and ethical aspects of AI. Our work develops both technical and non-technical approaches that enable organisations to successfully turn AI technologies into solutions that create both economic and societal value. We are particularly interested in AI applications with a strong impact on people and society, such as healthcare, neurotechnologies, human–machine interaction, and automated decision-making. Our work explores all aspects of AI governance, covering organisational practices, regulatory and certification requirements, socio-technical standards, Trustworthy AI, and human-centred technology. Responsible Innovation depends on close collaboration between different stakeholders and disciplines. RAI works with a wide network of national and international organisations, including: SCRAI, CAIRNE, ADRA, SATW, IEEE Standards Organization, IEEE Brain, The Geneva Center for Security Policy, GESDA, OECD, and the Institute for Neuroethics. 

Services

Responsible AI Innovation

Team

Projects

Publications