Advancing Responsible AI in Public Sector Application

<p>Responsible use of AI in public sector applications requires engagement with various technical and non-technical areas such as human rights inclusion diversity innovation and economic growth. The book covers topics spanning the technological socio-economic spectrum including the potential of AI/ML technologies to address social and political inequities privacy-enhancing technologies for datasets friction-less data sharing and data stewardship models regional/geographical inequities in extraction and so forth.</p><p>Features:</p><ul> <li>Focuses on technical aspects of responsible AI in the public sector</li> <li>Covers a wide range of topics spanning the technological socio-economic spectrum</li> <li>Presents viewpoints from public sector agencies as well as from practitioners</li> <li>Discusses privacy-enhancing technologies for collecting processing and storing datasets and friction</li> <li>Reviews frameworks to identify and address biased AI outcomes in the design development and use of AI</li> </ul><p>This book is aimed at professionals researchers and students in artificial intelligence computer science and engineering policy-makers social scientists economists and lawyers.</p>