Advancing Responsible AI in Public Sector Application

GPAI Edition
1. Auflage 2025
ISBN: 978-1-032-70393-0
Verlag: Taylor & Francis Ltd

Buch, Englisch, 256 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 453 g

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 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 the 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.

Zielgruppe

Academic, Postgraduate, and Professional Reference

Autoren/Hrsg.

Singh, Abhishek

Ravindran, Balaraman

Fachgebiete

• Mathematik | Informatik EDV | Informatik Technische Informatik

Inhaltsverzeichnis

1. Raising the Standard in AI Procurement: Global Opportunity and Challenges

2. Data Empowerment and Protection Architecture (DEPA) for Training ML Models

3. Generative AI Governance: Technological Monoculture, Market Structure and the Risk of Correlated Failures

4. Empowering citizens through responsible AI governance: policy recommendations for public algorithm registers

5. Responsible Adoption of Cloud-Based Artificial Intelligence in Healthcare: A Validation Case Study of Multiple Artificial Intelligence Algorithms for Diabetic Retinopathy Screening in Public Health Settings

6. Developing Community Led AI: Notes from The Trenches

7. Risk Assessment methodology for AI regulation and navigating liability determination in AI driven world

8. Harnessing the potential of AI for Indian agriculture: Leveraging “Bhashini” as a tool for deploying responsible AI and increasing uptake of AI applications among farmers

9. Regional inequities in extraction and flow of resources that support and power the design, development and access to AI: Experiences from India and Kenya

10. Assessing the Trustworthiness of Generative AI Used for Higher Education

11. Actionable ethics: from philosophical principles to operational initiatives for responsible AI projects in public sector in the French context

12. Supporting AI at Scale in the APEC Region Through International Standards

13. A Policy Framework for Third Party Auditing of AI Systems

14. AI in the Healthcare Sector: Insights from Rwanda’s Mbaze Chatbot Project

Über Autor(innen)

Abhishek Singh is a distinguished officer of the 1995 batch of the Indian Administrative Service (IAS), currently serves as Additional Secretary in the Ministry of Electronics and Information Technology (MeitY), Government of India. With nearly three decades of experience in governance, policy formulation, and administration, he specializes in leveraging technology to enhance governance and public service delivery. As Additional Secretary, he holds responsibilities including Artificial Intelligence, Emerging Technologies, Cybersecurity, and Digital Skilling with additional charge of CEO of IndiaAI Mission.

Balaraman Ravindran heads the Robert Bosch Centre for Data Science & Artificial Intelligence and Centre for Responsible AI at IIT Madras, the leading interdisciplinary AI research centre in India. He is the Mindtree Faculty Fellow and Professor in the Department of Computer Science and Engineering at IIT Madras. He is the No.1 Deep Reinforcement Learning Expert, and among top 3 Machine Learning Experts in India. He has been elected as ACM Distinguished Member (2021) for his significant contributions to computing. He has been recognized, in 2020, as a Senior member of AAAI (Association for Advancement of AI) for his long-standing contributions to AI. He is also the Co-director of the Prathap Subrahmanyam Centre for Digital Intelligence, Secure Hardware and Architecture (PSC-DISHA) and the Reconfigurable and Intelligent Systems Engineering (RISE) group at IIT Madras.