{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Good bITs & bytes","title":"From Big Brother to friendly neighbour: Creating facial recognition the public can trust","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/4b44cfbb\"></iframe>","width":"100%","height":180,"duration":317,"description":"This is an AI podcast generated from an original article and research done by humans.\nThe controversy surrounding facial recognition technology manifests at the intersection of power, privacy and identity. How do we foster public trust and shift away from the dystopian tropes of surveillance societies and Big Brother? Start from the ground up – redesigning the technology itself.\n\nIf you combine a lack of accountability, transparency and local autonomy, you’ll have a recipe for distrust and disdain.\nBut PhD candidate Sanjeev Nahulanthran from our Department of Data Science and Artificial Intelligence is working with Dr Leimin Tian, Professor Dana Kulic and Dr Mor Vered to create a new era of facial recognition technologies through his facial expression recognition (FER) research grounded in ethics and collaboration with everyday people.","thumbnail_url":"https://img.transistorcdn.com/pURoc9DVsVyAuf7gbYzUaMCWCpsVViU_vm1Tx3b1kfM/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8yMWM1/ZWRkOWNjNGRiNGNj/ZmQ2MTI5YTg5M2Rm/ZTlkZi5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}