Global AI Ethics and Regulatory Leader at EY (Ernst & Young), United Kingdom
Dr. Ansgar Koene is Global AI Ethics and Regulatory Leader at EY (Ernst & Young). He is also a Senior Research Fellow at the Horizon Digital Economy Research institute (University of Nottingham) where he contributes to the policy impact and public engagement activities of the institute and the ReEnTrust and UnBias projects As part of this work Ansgar has provided evidence to parliamentary inquiries, co-authored a report on Bias in Algorithmic Decision-Making for the Centre for Data Ethics and Innovation, and was lead author of a Science Technology Options Assessment report for the European Parliament on “a Governance Framework for Algorithmic Accountability and Transparency”.
Ansgar chairs the IEEE P7003 Standard for Algorithmic Bias Considerations working group, was the Bias Focus Group leader for the IEEE Ethics Certification Program for Autonomous and Intelligent Systems (ECPAIS), and participates in the IEEE standards P2089 “Age Appropriate Digital Services Framework” and IEEE P2863 “Governance of AI”. Other standards development work includes participation in the ISO/IEC JTC1 SC42 Artificial Intelligence activities and the CEN-Cenelec Focus Group for AI.
He is a trustee for the 5Rgiths foundation for the Rights of Young People Online and is part of the 5Rights Digital Futures Committee.
Ansgar has a multi-disciplinary research background, having worked and published on topics ranging from Policy and Governance of Algorithmic Systems (AI), data-privacy, AI Ethics, AI Standards, bio-inspired Robotics, AI and Computational Neuroscience to experimental Human Behaviour/Perception studies. He holds an MSc in Electrical Engineering and a PhD in Computational Neuroscience.
Session: Ethics and governance implications of AI
UA4DM an ideaation toolkit for AI ethics
In this session I will introduce the “UnBias AI For Decision Makers” (UA4DM) toolkit. A creative commons licensed critical systems thinking toolkit to help organizations explore how the introduction of AI systems fits with the ethos and values that the organization stands for. The toolkit can be used for planning, designing and developing an AI system, or to facilitate an assessment of compliance with ethical principles and regulatory requirements.
Learning outcomes:
- Lead a discussion with their colleagues about the strategy, governance and compliance implications of introducing AI systems into their organisation.
- Reflect on the organisational values and principles in relation to the practical impacts on AI on the use of Data, Technology and People within the organisation and beyond.
- Participants with gain a new, free to download, tool to help them plan through the requirements of future AI projects.
- Increase the ability of participants to confidently challenge AI working practices that are not compatible with the ethics and values of their organisation.
Additional information and programme of International Conference on Robotics, Automation & Artificial intelligence Systems – here
