School of Engineering

Responsible AI Innovation

"Responsible AI Innovation requires addressing ethical and societal implications of technology in ways that are robust, human-centred and compatible with the realities of society, the industrial sector and policy making. We combine state-of-the-art research with proven expertise on technological translation, governance of emerging technology and multi-stakeholders engagement to promote AI technology 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

Additional Information

Responsible AI Innovation

Team

Projects

Publications