The RISE AI Conference

October 6-9, 2025 | The University of Notre Dame

The Lucy Family Institute for Data & Society at the University of Notre Dame is delighted to announce the inaugural RISE AI Conference on October 6-9, 2025, at the University of Notre Dame in Notre Dame, IN.

The world is in a transformative era, with AI revolutionizing industries, reshaping innovation, and unlocking opportunities once thought impossible. Its vast potential inspires optimism for a future where technology drives progress across industries, governments, NGOs, and society as a whole. However, with this promise comes significant responsibility. Concerns over bias, inequitable access, safety vulnerabilities, and ethical uncertainties highlight the urgent need for a guiding framework. RISE (Responsibility, Inclusion, Safety and Ethics) AI fulfills this role, ensuring that AI technologies are developed and applied responsibly, inclusively, and ethically.

The RISE AI Conference provides a unique platform to explore how artificial intelligence can be harnessed to tackle complex societal and contemporary challenges while upholding the principles of RISE.

Conference Highlights:

  • Keynotes: Inspiring talks from thought leaders with diverse perspectives.
  • Panels & Fireside Chats: Engaging discussions on the intersections of AI and societal challenges.
  • Presentation & Poster Sessions: Showcasing cutting-edge research aligned with the RISE framework.
  • Workshops & Roundtables: Practical insights from industry, government, and non-profit leaders.
  • Networking Opportunities: Connect with researchers, practitioners, and policymakers.

Conference Themes:

Topics explored at the conference will include, but are not limited to:

  • Fundamental and foundational advances in AI, especially for low-resource environments
  • Interdisciplinary AI advances for UN SDGs inspired use-cases, business applications, and societal challenges
  • Frameworks for ethical and safe AI development and use
  • Responsible and Inclusive data & AI technologies, including policy innovations driven by data-driven insights, powered by AI
  • Human-centered Explainable AI

More information will continue to be added as additional details are confirmed.

Questions?

For updates, please contact Dmitry Zaytsev, conference coordinator and associate professor of the practice (SBE & Data Science) at the Lucy Family Institute for Data & Society.