Novel design ideas are important in ensuring human-machine interactions are ethical and inclusive. Our work aims to tackle both the moral and the design components of machines to consider nature and components of moral skill, while also ensuring the agents are value-aligned and non-bias.
Think piece: What does it mean for AI to be ‘trustworthy’?
Fear and mystique surround the rapid emergence of artificial intelligence, with many people wondering whether this transformative new technology can be trusted. But in an important way, AI systems are just like other machines: trust simply comes down to how reliably and safely they can be used for their intended purpose, as Dr Zena Assaad explains.
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Kate Henne
Executive member
Decision Making Under Uncertainty, Governance and Regulation, Human Machine Interaction, Transdisciplinary Practise
Zena Assaad
Governance and Regulation, Human Machine Interaction
Yuen Kuen Cheung
Decision Making Under Uncertainty, Human Machine Interaction, Market and Computation
Ali Zia
AI for Science, Computer Vision in Context, Creative AI, Human Machine Interaction, Transdisciplinary Practise
Ziyu Chen
AI for Science, Decision Making Under Uncertainty, Ethics and Normative Theory
Karla Kelly
Human Machine Interaction, Transdisciplinary Practise
Ned Cooper
Governance and Regulation, Human Machine Interaction
Charles Martin
Creative AI, Human Machine Interaction, Transdisciplinary Practise
Glen Berman
Governance and Regulation, Human Machine Interaction
Anne Ozdowska
Creative AI, Decision Making Under Uncertainty, Human Machine Interaction, Transdisciplinary Practise
Elizabeth Williams
Human Machine Interaction, Transdisciplinary Practise