Advancing Responsible AI in Public Sector Application GPAI Edition

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

Gisele Waters, Cari Miller

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

Shyam Sundaram, Dr Kapil Vaswani, Gaurav Agarwal, Sunu Engineer, Sridhar AVS

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

Ramayya Krishnan, Prasanna Parasurama, Joao Sedoc, Arun Sundararajan

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

Jens Meijen, Niharika Gujela

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

Mona Duggal, Anshul Chauhan, Ankita Kankaria, Preeti Syal, Vishali Gupta, Priyanka Verma, Vaibhav Miglani, Deepmala Budhija, Luke Vale

6. Developing Community Led AI: Notes from The Trenches

Tarunima Prabhakar, Cheshta Arora, Arnav Arora

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

Adithya Mohan, Karthik Satishkumar

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

Abhishek Raj, Harsh Singh, Anshul Pachouri

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

Saikat Datta, Shachi Solanki, Anand Venkatanaryanan

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

Adarsh Srivastava, Gokul Gawande, Divya Dwivedi, Manu Dev, Vinayak Kottawar, Roberto V. Zicari

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

Anthéa Serafin, Lisa Fériol, Bertrand Monthubert

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

Aurelie Jacquet, Karen Batt, Jesse Riddell

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

Harsh Lailer, Gadamsetti Srija, Aseem Saxena, Agrima Lailer

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

Lea Gimpel, Keegan McBride

Biography

Abhishek Singh is a distinguished officer of the 1995 batch of the Indian Administrative Service (IAS), and 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.

An alumnus of IIT Kanpur, where he earned a B.Tech in Mechanical Engineering, Singh furthered his education with a Master’s in Public Administration from the Harvard Kennedy School as a Mason Fellow. Over the years, he has held several key positions, including CEO of Karmayogi Bharat, MyGov and the National e-Governance Division (NeGD). His leadership has been instrumental in implementing landmark initiatives, such as CoWIN, DigiLocker and DIKSHA. At the state level, he was with the Government of Nagaland and Uttar Pradesh and was responsible for implementing development schemes at the grassroots level, ensuring law and
order as also for collecting revenues for the States.

Balaraman Ravindran heads the Robert Bosch Centre for Data Science & Artificial Intelligence and the 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 premier Deep Reinforcement Learning Expert and among the top three 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 the Association for Advancement of AI (AAAI) 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.

He has been closely collaborating with various industrial research labs, such as Google Research, Intel Research, Ericsson R&D, and many more, working on applications of AI techniques to solve difficult real-world problems. He received his PhD from the University of Massachusetts, Amherst and his Master’s in research degree from the Indian Institute of Science, Bangalore. He has more than two decades of research experience in AI and ML, specifically, Reinforcement Learning. He has held visiting positions at the Indian Institute of Science, Bangalore, India; University of Technology, Sydney, Australia; and Google Research. Currently, his research interests are centred on learning from and through interactions and span the areas of geometric deep learning and reinforcement learning.