In this webinar recording, Crowe specialists address AI carbon emissions and offer insight on bridging the gap between climate strategy and digital operations.
You might have heard the buzz about AI’s carbon footprint and want to separate fact from fiction. Perhaps your organization has climate targets that seem at odds with AI growth. Or maybe your team is asking questions you can’t yet answer about quantifying climate impact. This webinar bridges the gap between climate strategy and digital operations with insights from Crowe machine learning and environmental, social, and governance specialists.
As AI adoption scales rapidly, its environmental footprint is emerging as a major blind spot in digital transformation and sustainability strategies. Learn how to identify emissions risks, evaluate tracking challenges, and explore practical methods for managing AI’s carbon output. Whether your goal is compliance, cost control, or sustainability leadership, this webinar recording will offer actionable guidance to reduce AI’s impact.
After watching this webinar recording, you should be able to:
- Describe how AI systems contribute to carbon emissions and their role in environmental impact
- Evaluate the barriers to tracking AI emissions accurately, including gaps in methodology and opaque AI vendors
- Identify steps organizations and individuals can take to minimize their AI-related climate footprint
- Recognize the regulatory and reputational risks associated with unreported AI emissions in light of evolving disclosure standards
- Describe practical approaches to estimate and manage the carbon output of AI operations
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