ABSTRACT
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.
Features:
- Focuses on technical aspects of responsible AI in the public sector
- Covers a wide range of topics spanning the technological socio-economic spectrum
- Presents viewpoints from public sector agencies as well as from practitioners
- Discusses privacy-enhancing technologies for collecting, processing and storing datasets, and friction
- Reviews frameworks to identify and address biased AI outcomes in the design, development and use of AI
This book is aimed at professionals, researchers and students in artificial intelligence, computer science and engineering, policy-makers, social scientists, economists and lawyers.
TABLE OF CONTENTS
chapter 1|34 pages
Raising a Global Standard in the Procurement of Artificial Intelligence and Automated Decision Systems
Title
Size: 1.89 MB
chapter 2|13 pages
Data Empowerment and Protection Architecture (DEPA) for Training Machine Learning (ML) Models
Title
Size: 0.69 MB
chapter 3|3 pages
Generative AI Governance
Title
Technological Monoculture, Market Structure and the Risk of Correlated Failures
Size: 0.21 MB
chapter 4|11 pages
Empowering Citizens through Responsible AI Governance
Title
Policy Recommendations for Public Algorithm Registers
Size: 0.30 MB
chapter 5|10 pages
Responsible Adoption of Cloud-Based Artificial Intelligence in Health Care
Title
A Validation Case Study of Multiple Artificial Intelligence Algorithms for Diabetic Retinopathy Screening in Public Health Settings
Size: 0.30 MB
Size: 0.35 MB
chapter 7|32 pages
Risk Assessment Methodology for AI Regulation and Navigating Liability Determination in an AI-Driven World
Title
A Policy Paper on Risk Assessment
Size: 0.65 MB
chapter 8|10 pages
Harnessing the Potential of AI for Indian Agriculture
Title
Using “Bhashini” as a Tool to Deploy Responsible AI and Increase the Uptake of AI Applications Among Farmers
Size: 0.33 MB
chapter 9|15 pages
Regional Inequities in Extraction and Flow of Resources That Support and Power the Design, Development and Access to AI
Title
Lessons from the Global South
Size: 0.30 MB
Size: 0.44 MB
chapter 11|12 pages
Actionable Ethics
Title
From Philosophical Principles to Operational Initiatives for Responsible AI Projects in the Public Sector in the French Context
Size: 0.29 MB
Size: 0.88 MB
Size: 0.57 MB
chapter 14|11 pages
Artificial Intelligence, Government, and Challenges
Title
Initial Insights from Rwanda's Mbaza AI-Chatbot Project
Size: 0.31 MB
