IGF 2023 DC-DAIG Can (generative) AI be compatible with Data Protection?

Tuesday, 10th October, 2023 (08:00 UTC) - Tuesday, 10th October, 2023 (09:30 UTC)
Room I
Dynamic Coalition on Data and Artificial Intelligence Governance

Round Table - 90 Min


This session will explore the tension between the development and use of AI systems, particularly generative AI systems such as ChatGPT, and data protection frameworks. The development, adoption and popularisation of AI has led to increasing calls for AI regulation, but also exposed the need for more effective implementation of existing data protection frameworks. Participants will provide different perspectives of how the automated processing of personal data is regulated in different national or regional frameworks, what type of regulatory proposals have been put forward to address the challenges of AI, stressing the interactions between AI and data policies. This session will be the first IGF meeting of the new IGF Data and Artificial Intelligence Governance Coalition (DAIG), which aims at fostering discussion of existing approaches to data and AI governance, promoting analysis of good and bad practices to identify what solutions should be replicated and which ones should be avoided by stakeholders to achieve a sustainable an effective data and AI governance.

1. To facilitate interaction between onsite and online speakers and attendees, we will leverage a hybrid event platform that provides real-time communication channels. For the onsite attendees, we will project the virtual attendees and their questions/comments onto the screen to ensure that both groups can engage with each other. In addition, we will use a moderated chat on Zoom for online participants to interact with onsite speakers and vice-versa. 2. The session will be designed with both online and onsite participants in mind. The session will be structured with interactive segments to engage all attendees, such as Q&As and debates to cater both online and onsite participants. 3. To increase participation and interaction during the session, we plan to use an online document to allow participants to contribute their thoughts in a shared digital space. We will also utilize social media platforms for pre-session and post-session engagement, such as Twitter and Instagram for live updates.

  • Ana Brian Nougrères, UN Special Rapporteur for Privacy
  • Walter B. Gaspar, FGV Law School, Rio de Janeiro
  • Shilpa Jaswant, Jindal Global Law School, India
  • Luca Belli, FGV Law School, Rio de Janeiro
  • Armando Manzueta Digital Transformation Director, Ministry of Economy, Planning and Development of the Dominican Republic
  • Arianne Jimenez, Meta, APAC (TBC)
  • Gbenga Sesan, Executive Director, Paradigm Initiative, Nigeria 
  • Jonathan Mendoza, Secretary for Data Protection, National Institute of Transparency Access to Information and Protection of Personal Data (INAI) TBC
  • Sizwe Snail, Nelson Mandela University, former board member of the South African Information Regulator 
  • Smriti Parsheera, Researcher, Indian Institute of Technology/CyberBRICS Project
  • Wei Wang, University of Hong Kong, China
  • Camila Leite, Brazilian Consumer Protection Institute (IDEC), Brazil
Onsite Moderator

Luca Belli, FGV Law School, Rio de Janeiro

Online Moderator

Shilpa Jaswant, Jindal Global Law School, India


Shilpa Jaswant, Jindal Global Law School, India



Targets: "Promote development-oriented policies that support productive activities, decent job creation, entrepreneurship, creativity and innovation, and encourage the formalization and growth of micro-, small- and medium-sized enterprises, including through access to financial services". The current impact of AI, and especially generative AI, can already be felt in day-to-day activities, ranging from the integration of these new technologies into exiting processes in productive sectors to matters of cybersecurity and regulatory effect, such as copyright regulation and personal data protection. The projected impact of these technologies, however, is even greater, with a potential 7% raise in global GDP and a 1,5x impact on productivity over the next ten years, but also with significant effects over exiting jobs and necessary professional capabilities (https://www.goldmansachs.com/intelligence/pages/generative-ai-could-rai…). Thus, discussing the determinants of access to these new technologies, effective training and learning, innovation diffusion, as well as the regulatory framework that ensures respect for fundamental rights in face of their potential harms, especially from a multistakeholder account and from a multitude of national perspectives, closely relates to a development-oriented policy debate.