Global Partnership on AI(GPAI) Annual Summit Research Symposium: Advancing Responsible AI in Public Sector Applications

About

The rapid advancement of AI technologies presents significant opportunities and unique challenges with AI deployment in the public sector. To promote collaboration and research in responsible AI, MeitY, in collaboration with the Centre for Responsible AI, IIT Madras is organising a Research Symposium as part of the Annual GPAI Summit in New Delhi.

The Symposium is intended to provide a platform for Indian and International academics and researchers to collaborate with other AI experts and present actionable research on Responsible AI in front of a global audience.

Theme

Advancing Responsible AI in Public-Sector Applications

Format

The Symposium will have two tracks:
  • Invited expert speakers
  • Regular conference shortlist track

Our invited speakers and shortlisted authors include exceptional scholars and practitioners from engineering and public policy fields. They include experts from New York University, Oxford University, the Institute of Electrical and Electronics Engineers, Carnegie Mellon University, and iSPIRT Foundation among others.

Submission Overview

The call for papers for the shortlist track was issued on 24 July 2023. We received over 150 submissions from 38 countries on various topics, from responsible AI principles, algorithmic accountability, and explainability to responsible AI assessments. We selected 11 submissions after a rigorous review process with support from a committee comprising members from academia, industry and government.

The final selection of submissions (4 from invited expert speakers and 11 from the regular conference shortlist track) engages with an interesting and wide range of topics as mentioned below and comes from over 10 countries:

  • Economic Models of Intellectual Property Governance for Generative AI
    By Arun Sundarajan

    Organisation: New York University

  • Generative AI Governance: Technological Monoculture, Market Structure and the Risk of Correlated Failures
    By Ramayya Krishnan, Prasanna Parasurama, Joao Sedoc, Arun Sundararajan

    Organisation: Carnegie Mellon University, Emory University, New York University

  • Data Empowerment and Protection Architecture (DEPA) for Training ML Models
    By Shyam Sundaram

    Organisation: iSpirt Foundation

  • Raising the Standard in AI Procurement: Global Opportunity and Challenges
    By Gisele Waters and Cari Miller

    Organisation: Institute of Electrical and Electronics Engineers

  • Initial insights and policy recommendations derived from a case study of AI in the healthcare sector in Rwanda
    By Lea Gimpel and Keegan McBride

    Organisation: GIZ, University of Oxford

  • 3rd party auditing for AI systems
    By Harsh Lailer, Srija Gadamsetti, Aseem Saxena and Agrima Lailer

    Organisation: Quality Council of India, Modular Open Source Identity Platform, Oregon University

  • Supporting AI at Scale in the APEC Region Through International Standards
    By Jesse Riddell, Aurelie Jacquet and Karen Batt

    Organisation: Standards Australia

  • French strategy and existing initiatives for responsible AI in the public sector
    By Lisa Feriol, Anthéa Serafin and Bertrand Monthubert

    Organisation: Ekitia

  • Assessing the Trustworthiness of the use of Generative AI for higher Education
    Adarsh Srivastava, Gokul Gawande, Roberto Zicari, Himanshi Allahabadi and Divya Dwivedi

    Organisation: Yrkeshögskolan (University of Applied Science); Roche India Pvt. Ltd.; Elucidata

  • Regional inequities in extraction and flow of resources that support and power the design, development and access to AI: Experiences from India and Kenya
    By Saikat Datta, Mercy Mutemi, Anand Venkatanaryanan and Shachi Solanki

    Organisation: Deepstrat

  • Harnessing the potential of AI for Indian agriculture: Leveraging “Bhashini” as a tool for deploying responsible AI and increasing the uptake of AI applications among farmers
    By Abhishek Raj, Harsh Singh and Anshul Pachouri

    Organisation: Microsave Consulting

  • Risk Assessment Methodology for AI Regulation and Navigating Liability Determination in AI-Driven World
    By Aditya Mohan and Karthik Satishkumar

    Organisation: National Standards Authority of Ireland; Saviynt

  • Empowering citizens through responsible AI governance: policy recommendations for public algorithm registers
    By Jens Meijen and Niharika Gujela

    Organisation: KU Leuven; Hertie School

  • Developing Community-Led AI: Notes from The Trenches
    By Tarunima Prabhakar, Cheshta Arora and Arnav Arora

    Organisation: Tattle.co

  • Responsible Adoption of Cloud- Based Artificial Intelligence in Health Care: A Validation Case Study of Multiple Artificial Intelligence Algorithms for Diabetic Retinopathy Screening in Public Health Settings
    By Mona Duggal, Anshul Chauhan, Ankita Kankaria, Vishali Gupta, Anna Roy, Priyanka Verma, Vaibhav Miglani, Deepmala Budhija, Preeti Syal, Luke Vale

    Organisation: Post Graduate Institute of Medical Education & Research, Chandigarh; Elemental One; All India Institute of Medical Science, Bathinda, Punjab; NITI Aayog