Jennifer Turliuk

Join Jennifer Turliuk, a seasoned entrepreneur, technologist and climate tech investor, as she takes you on a journey through the pivotal role of AI in addressing climate challenges. Drawing from her work as Practice Leader, Climate and Energy AI at the Martin Trust Center for Entrepreneurship (where she developed AI tools for climate entrepreneurs), and Partner with Climate Angels and Climate Capital Syndicate (one of the most active funders of climate startups), Jennifer uncovers the dynamic synergy between artificial intelligence and climate action.

Discover groundbreaking AI applications that are surfacing relevant climate regulations and incentives, selecting high potential climate startups, enhancing home energy efficiencies, devising market selection strategies for climate innovators, and more. Delve into captivating case studies that illustrate AI’s instrumental role in fostering a sustainable future.

This enlightening talk not only highlights the transformative impact of AI on environmental stewardship but also sparks a dialogue on how technology and sustainability can coalesce to forge a resilient and thriving planet.

Artificial intelligence is rapidly reshaping the energy sector – unlocking efficiencies, accelerating decarbonization, and empowering consumers like never before. In this session, Jennifer Turliuk, Executive Fellow at Harvard Business School, former Practice Leader of Climate & Energy AI at MIT’s entrepreneurship center, and creator and instructor of MIT’s AI for Energy Solutions course (which drew 1,000+ global applicants), explores how AI can optimize energy systems from the grid edge to the transmission backbone.

Drawing from case studies across residential demand response, real-time energy insights, smart home agents, grid forecasting, and AI-powered planning tools, Jennifer reveals how AI is enhancing energy access, resilience, and sustainability. She also shares lessons from working with stakeholders including the U.S. Department of Energy, utility innovators, and climate startup founders.

This session will equip attendees with a visionary look into how machine learning, automation, and data-driven intelligence are transforming how we generate, distribute, and use energy—and how to leverage these tools to drive real-world impact.

Subtopics include:

• AI for Energy Solutions
• Options for ML techniques
• Optional tutorial: Make an ML for energy project with a drag-and-drop ML tool

As AI becomes increasingly integrated into every sector of society, it’s essential to critically assess its environmental implications. In this balanced and research-based talk, Jennifer Turliuk presents insights from her MIT research on the Net Climate Impact of AI, which examines both the climate harms and potential climate benefits of AI systems.

The presentation explores the energy demands and emissions associated with AI development and deployment, alongside examples of how AI is being used to reduce emissions in areas like energy optimization, agriculture, etc. Jennifer introduces a systems-thinking framework – the Net Climate Impact Score (NCIS) – to help assess when and where AI’s benefits may outweigh its costs.

Drawing from her work with MIT’s Climate Policy Center, the En-ROADS climate policy simulator, and the Sustainable AI course she taught at MIT, Jennifer also discusses systemic risks such as rebound effects and unintended consequences. The talk concludes with actionable recommendations for industry, policymakers, and researchers on how to align AI innovation with planetary boundaries and climate goals.

This session is ideal for those seeking a clear-eyed, interdisciplinary perspective on the complex relationship between AI and climate – and how we can steer technological development toward more sustainable outcomes.

Subtopics include:

• Climate harms of AI
• Potential climate benefits of AI
• Introduction to net climate impact of AI

Artificial intelligence is rapidly reshaping energy systems, infrastructure, and decision-making – often with profound but underexamined climate impacts. From data center emissions and water use to algorithmic influence on climate policy, markets, and communities, AI is increasingly embedded in the systems driving climate risk and response.

This talk explores AI and climate through the lenses of law, governance, justice, and ethics. Drawing on research, teaching, and legal work, it examines where existing legal frameworks fall short, how governance mechanisms are emerging in the absence of regulation, and why justice must be central to any sustainable AI strategy.

The talk concludes by outlining practical pathways for governing AI’s climate impacts, including regulatory design, institutional accountability, and ethical frameworks that move beyond voluntary principles toward real-world impact.

Artificial intelligence is rapidly reshaping society – and increasingly, the climate. From energy and water use in data centers to AI-enabled climate solutions, today’s learners are inheriting both the risks and responsibilities of an AI-driven, climate-constrained world. Education plays a critical role in determining how prepared they will be.

Drawing on her experience as Practice Leader of Climate & Energy AI at MIT’s entrepreneurship center, a former climate tech venture investor, and an education entrepreneur who exited through acquisition, Jennifer Turliuk explores how AI and climate intersect – and what that means for education.

This session provides:

• A clear overview of AI’s climate impacts, both harmful and potentially beneficial
• Why AI and climate literacy matter for learners
• The role of governance, ethics, and justice in shaping responsible AI futures
• Practical examples, learning activities, and resources

Designed for educators, school leaders, higher education institutions, and learning-focused organizations, this talk highlights education as a powerful lever for shaping more equitable, sustainable technological futures.