October 6-8*, 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 6-8*, 2025, at the University of Notre Dame in Notre Dame, IN.
*A welcome dinner will be held on October 6. Conference keynotes, sessions, and panels will be held on October 7-8 and conclude at 4:00 pm on October 8.
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 data-driven and 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
- 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.
