Responsibility Projects

Responsible AI for Long-term Trustworthy Autonomous Systems (RAILS)

RAILS will explore independent long-term autonomy systems in different applications. These will include i) autonomous vehicles and ii) autonomous robot systems such as unmanned aerial vehicles (drones).    

Making Systems Answer

Our project draws upon research in philosophy, cognitive science, law and AI to develop new ways for autonomous system developers, users and regulators to bridge responsibility gaps, by boosting the ability of systems to deliver a vital component of responsibility, namely answerability.

Assuring Responsibility for Trustworthy Autonomous Systems (AR-TAS)

The research project is an interdisciplinary programme of work – drawing on the disciplines of engineering, law, and philosophy – that culminates in a methodology to achieve precisely that tracing and allocation of responsibility.

Computational Agent Responsibility

In this multi-disciplinary project, we aim to devise a framework for autonomous systems responsibility that is philosophically justifiable, effectively implementable, and practically verifiable.