Building Equitable Human–AI Futures: Intelligence, Inclusion, and Shared Responsibility

Tuesday - July 14, 2026 / 10:20‐11:00                              Room: Room 11

Moderator: Bozenna Pasik-Duncan, University of Kansas, USA

Speakers:

Hamidou Tembine, University of Quebec in Trois-Rivières (UQTR), Canada

Ramalatha Marimuthu, iExplore Foundation for Sustainable Development, India

Dominique Duncan, University of Pennsylvania, USA

Abstract

Part I: Unbiasing Agentic Machine Intelligence

This part of the Panel will bring together researchers from control theory, statistical mathematics, machine learning, optimization, information theory, and stochastic systems to identify common principles governing bias, uncertainty, observability, and robustness. The objective is to stimulate a scientific research agenda on the fundamental limits of learning and decision-making under incomplete information and to advance the mathematical foundations of trustworthy agentic machine intelligence.

Part II: Sharing the Workload: A Systems Thinking Perspective on Cross-Cultural Inclusivity in Workplaces and Homes

This part of the Panel seeks to encourage interdisciplinary dialogue on how systemic transformation — rather than isolated policy intervention — can create environments where both professional and domestic responsibilities are more equitably shared, enabling stronger communities and more sustainable global development.