Advancing Responsible AI in Public Sector by Balaraman Ravindran(.PDF)
File Size: 12.0 MB
Advancing Responsible AI in Public Sector Application: GPAI Edition by Balaraman Ravindran, Abhishek Singh
Requirements: .ePUB, .PDF reader, 12.0 MB
Overview: 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. The use of large language models (LLM) has revolutionized the field of overall Data Sciences and in specific natural language processing (NLP) technologies. LLMs are statistical language models that are trained on massive amounts of data and can be used to generate and translate text and other content, as well as perform other NLP tasks. LLMs are typically based on Deep Learning architectures, their foundation derived from the famous Google paper. With the powerful capabilities for relevant cases, there are lots of risks also being created, such as misinformation, fake news and privacy, and many more. This book is aimed at professionals, researchers and students in Artificial Intelligence, Computer science and engineering, policy-makers, social scientists, economists and lawyers.
Genre: Non-Fiction > Tech & Devices
Free Download links: