Justice and Artificial Intelligence: Workshop 2

Overview:
Overall, the project seeks not just to identify some of the steps we need to take to ensure that our technological future is less unjust than our present, but also to chart and evaluate some of the changes – with regard to regulation, agency and self – that we will encounter there.

Additional:
This interdisciplinary project addresses a number of legal and ethical issues raised by reliance upon deep neural networks and cognate technologies as decision-making tools in many aspects of society. It aims to foster a community of interest in these and related issues locally, nationally and globally. 

The technical means of redress that will be examined draw upon and test recent developments in explainable machine learning. The project investigates how the explainable outputs of DNNs could be utilised by domain experts so as to improve final outcomes. It also examines the possibility of ‘justice audits’ being conducted upon the outcomes of any surveillance-cum-recognition network and of any automated decision process.

Contact for further information:  

• Dr Noura Al-Moubayed, Department of Computer Science, al-moubayed@durham.ac.uk
• Professor William Lucy, Durham Law School, n.lucy@durham.ac.uk