12 Dec Police technologies: Gender dimension bias and the impact upon criminal justice
Artificial intelligence and machine learning have the potential to revolutionise identification processes for law enforcement; but if they are to be reliable and trusted, those commissioning their use must ensure concerns around gender dimension bias have been addressed from the outset, says Policing Insight’s Andrew Staniforth.
To read or download the full version of the article, which was published in Policing insight, please click on the link.
Andrew Staniforth is Director of Innovation at SAHER (Europe), a security research, training and consultancy operating at a global level, participating in the NOTIONES (iNteracting netwOrk of inTelligence and securIty practitiOners with iNdustry and acadEmia actorS) network, funded by the European Commission Horizon 2020 Programme (No. 101021853). Andrew is also an active Researcher of Cyber Threats at the Hillary Rodham Clinton School of Law and Criminology, University of Swansea. As a former Counter-Terrorism Detective, he has worked across the world and supported missions of the United Nations Terrorism Prevention Branch.
To learn more about NOTIONES visit: https://www.notiones.eu