Agenda

The Second Green AI Summit Agenda


April 25-26, 2025

Harvard University and Boston University

Theme: Green AI for Global Sustainable Development


Day 1: April 25th, 2025 (Friday)

Location: Gutman Conference Center, Harvard Graduate School of Education
6 Appian Way, Cambridge, MA 02138

0830-0900: Registration

0900-1000: Opening Ceremony

1000-1015: Break

1015-1115: Panel 1: AI and Data Center Energy Usage and Environmental Impact
This panel explores the environmental footprint of AI and data center operations, focusing on energy consumption, carbon emissions, and sustainability practices. Panelists will discuss challenges, solutions, and policy recommendations for aligning AI technologies with sustainability goals.

1115-1200: Case Sharing: Best Practices for Green AI
Case studies showcasing successful implementations of sustainable AI practices by academic, industry, and technology leaders.

1200-1300: Lunch

1300-1400: Panel 2: Green AI and Data Center Policy and Investment
This panel brings together experts from finance, technology, and policy to discuss green investment strategies for data centers and AI ecosystems. It highlights public-private collaborations to support sustainability through innovative policies and financial frameworks.

1400-1500: Panel 3: Disruptive Technologies for Green AI: Optical and Quantum Computing
A look at emerging technologies like optical and quantum computing, this panel examines their potential to revolutionize AI infrastructure sustainably. Discussions will address transitioning innovations from research to implementation and embedding sustainability in early stages of technological development.

1500-1530: Break

1530-1600: 3rd Youth Sustainability Challenge Competition

1600-1630: Journal of AI and Sustainability & Green AI Institute Advisory Board Launching Ceremony

1630-1730: Panel 4: Embodied AI and Sustainable Innovation: Optimizing Hardware and Software Co-Design
This session explores the integration of hardware and software in robotics and embodied AI to enhance sustainability. Panelists will delve into co-design principles, accelerator technologies, and their potential to create more efficient AI systems.

1730-1800: Networking Session

1800-1900: Dinner (VIPs only)


Day 2: April 26th, 2025 (Saturday)

Location: Duan Family Center for Computing & Data Sciences
17th floor, Boston University, 665 Commonwealth Ave, Boston, MA 02215

0830-0900: Registration / Coffee / Breakfast

0900-1000: Keynote Address
Two prominent speakers will discuss the intersection of AI, sustainability, and global development.

1000-1015: Break

1015-1115: Panel 5: Effective Machine Learning for Sustainability
This panel focuses on optimizing machine learning systems for sustainability, addressing energy reduction, storage efficiency, and innovative practices for advancing ML technologies.

1100-1200: Panel 6: AI & the Power Grid – Complex Interactions
Exploring the interplay between AI, data centers, and the energy grid, this session highlights AI-driven optimization, renewable energy integration, and the role of nuclear energy in powering AI infrastructures.

1200-1300: Lunch + Poster Session

1300-1400: Panel 7: AI for Sustainable Development
AI's potential to address global sustainability challenges will be discussed, from climate change to resource management. Panelists will highlight collaborative efforts and real-world applications driving a sustainable future.

1400-1430: Closing Ceremony
Reflection on key insights and concluding remarks from prominent speakers.

1430-1500: Networking Session

1500: End of Event

Panel 1: AI and Data Center Energy Usage and Environmental Impact

This panel explores the environmental footprint of AI and data center operations, focusing on energy consumption, carbon emissions, and sustainability practices. Panelists will discuss challenges, solutions, and policy recommendations for aligning AI technologies with sustainability goals.

Panel 2: Green AI and Data Center Policy and Investment

This panel brings together experts from finance, technology, and policy to discuss green investment strategies for data centers and AI ecosystems. It highlights public-private collaborations to support sustainability through innovative policies and financial frameworks.

Panel 3: Disruptive Technologies for Green AI: Optical and Quantum Computing

A look at emerging technologies like optical and quantum computing, this panel examines their potential to revolutionize AI infrastructure sustainably. Discussions will address transitioning innovations from research to implementation and embedding sustainability in early stages of technological development.

Panel 4: Embodied AI and Sustainable Innovation: Optimizing Hardware and Software Co-Design

This session explores the integration of hardware and software in robotics and embodied AI to enhance sustainability. Panelists will delve into co-design principles, accelerator technologies, and their potential to create more efficient AI systems.

Panel 5: Effective Machine Learning for Sustainability

This panel focuses on optimizing machine learning systems for sustainability, addressing energy reduction, storage efficiency, and innovative practices for advancing ML technologies.

Panel 6: AI & the Power Grid – Complex Interactions

Exploring the interplay between AI, data centers, and the energy grid, this session highlights AI-driven optimization, renewable energy integration, and the role of nuclear energy in powering AI infrastructures.

Panel 7: AI for Sustainable Development

AI's potential to address global sustainability challenges will be discussed, from climate change to resource management. Panelists will highlight collaborative efforts and real-world applications driving a sustainable future.