Ethics & Society team

AI systems can use large-scale and sometimes sensitive datasets, such as medical or criminal justice records. This raises important questions about protecting people’s privacy and ensuring that they understand how their data is used. Also, the data used for training automated decision-making systems can contain biases, creating systems that might discriminate against certain groups of people. 

• How do concepts such as consent and ownership relate to using data in AI systems? 
• What can AI researchers do to detect and minimise the effects of bias?
• What policies and tools allow meaningful audits of AI systems and their data?

Article 36 is a non-profit organisation working to prevent harm caused by certain weapons. Led by Richard Moyes, previously co-chair of the Cluster Munition Coalition, it is a founding member of the Campaign to Stop Killer Robots. The organisation developed the concept of “meaningful human control” as an approach to guide international discussions on autonomous weapons systems. Article 36 is also part of the steering group of the International Campaign to Abolish Nuclear Weapons (ICAN), which was awarded the 2017 Nobel Peace Prize, and has led efforts to establish the impact of explosive weapons in populated areas as an international humanitarian priority. Previously, Richard established and managed explosive ordnance disposal projects for the UK NGO Mines Advisory Group. He is an Honorary Fellow at the University of Exeter and serves on the Aviation Futures policy panel of the UK’s Civil Aviation Authority. We have worked with Article 36 to explore the risks of intelligent systems in international human rights law and international humanitarian law.