Thursday, 29 June 2023, 13:00–14:30 (UTC/GMT+2 or CEST)

Languages: Simultaneous interpretation in English, French and Spanish (Simultaneous interpretation – Frequently asked questions)

This webinar is organized in partnership with the Operating Unit on Policy-Driven Electronic Governance (UNU-EGOV) at the United Nations University.

As part of the webinar series on Artificial Intelligence (AI), this webinar will dive into how AI tools can enhance decision-making in social protection.

Artificial Intelligence can significantly enhance tools for decision-making in various ways. It can leverage new techniques to categorize, group, and cluster groups of individuals. This can provide insight based on identified patterns that would not otherwise be easily detected. Finally, it can visualize results to understand findings and identify potential courses of action to improve social security capacity and services.

Over the past few years, many AI tools have significantly improved speed and accuracy by leveraging Big Data. They can further support better and more insightful decision-making by institutions, reduce human errors and potential biases. In turn, such decision-making mechanisms must be reliable and provide the means for the accountable staff to make the right decisions.

This webinar will discuss how social security institutions are taking advantage of AI tools, and how these improve institution’s capacity, supporting their staff in enhanced decision-making and provide better services.

Speakers

	Ryosuke Shibasaki, Professor, University of Tokyo, Japan
	Karina Leinuste, Chief Specialist, Estonian Unemployment Insurance Fund, Estonia
	Amanda Kuibida, Service and Automation Systems Coordinator, National Social Security Institute (INSS), Brazil

This webinar will examine the following questions:

• What are the main components of AI-enabled decision-making tools?
• How do AI-enabled decision-making tools differentiate from traditional decision-making tools?
• How to ensure the reliability of AI-tools in strengthening social security institutions’ capacity to control and/or provide services and respond to beneficiaries’ needs?
• What other potential uses for AI-tools are there in decision-making?

Agenda

• Welcome by Marcelo Abi-Ramia Caetano, Secretary General, ISSA
• Academic presentation by Ryosuke Shibasaki, University of Tokyo
• Case experience of Estonian Unemployment Insurance Fund
• Case experience of INSS, Brazil
• Technical comments
• Q&A – Discussion
• Conclusions

Moderated by Ernesto Brodersohn, Senior Officer in Social Security, ISSA

Practical information

The webinar is open to delegates of ISSA member organizations and invited institutions without registration fees.