AI: Trust and society

Examining the impact of AI systems on society today, and how these systems can be used in ways that preserve fairness, accountability and democracy

Projects

Trust and Transparency

This project is developing processes to ensure that AI systems are transparent, reliable and trustworthy. As AI systems are widely deployed in real-world settings, it is critical for us to understand the mechanisms by which they take decisions, when they can be trusted to perform well, and when they may fail. This project addresses these […]

Medical Black Boxes and AI Explainability

While modern AI systems can display impressive accuracy in medical tasks, it can be difficult to fully explain how they work or why they make individual decisions. The development of techniques for making systems “intelligible” or “explainable” is a growing focus of research within machine learning. However, there is still no consensus on what “understanding” […]

Ethical and Societal Implications of Algorithms, Data and AI

This project synthesises existing research on the ethics of AI across disciplines and sectors, and proposes a roadmap for future work. Interest in the ethical and societal implications of technologies based on algorithms, data, and AI has exploded in many circles in the past decade: academic, policy, industry, activist, and popular media. The perceived opportunities […]

Faith and AI

There is great interest in artificial intelligence: its capabilities, opportunities, ethical concerns, and implications for human flourishing. Yet current conversations often fail to engage with a broad range of religious stakeholders and faith communities. This risks ignoring a central aspect of many people’s moral perspective, and centuries of spiritual wisdom, philosophy, and ethical thinking which […]