The Real Environmental Impacts of AI and What You Can Do About It
Date: Wednesday, August 19 | 5PM ET
Location: Virtual | Free & Open Registration
Your organization has invested heavily in AI and its adoption, but you're getting conflicting guidance and facts on its environmental impact.
This is the gap this session closes through guidance from practitioners who work on this day-to-day with individuals to industry, helping you answer:
AI carries environmental costs - how do I actually quantify them?
I've heard conflicting claims - which numbers can I trust?
There is emerging guidance - which ones apply to me and my organization?
I care about the climate - but where to begin with sustainability in AI?
This 1-hour session gives the most up-to-date & trusted guidance from OnePointFive’s real industry research & work with clients.
Our practitioners, Matthias & Neil, will lay out the facts, debunk the myths, and show you what you need to know & what you can do.
What you'll learn
The lifecycle environmental impact of AI. Where impacts arise across the full AI system (e.g. water, energy, data centers, usage, etc.), and which of those can be directly influenced by individuals and organizations, versus requiring broader industry action.
How measurement works practically. How organizations are approaching the quantification of the carbon to water footprints of their AI use, and the practical actions you can take to make informed decisions on AI usage within your organization.
How to navigate the latest sustainability guidance. What the sustainability reports from companies like Amazon, Google, and Microsoft actually tell you (and what they don't), so you can contextualize changes in the climate pacts or industry.
The standards, regulations and rules starting to take shape. How ISO/IEC 20226, the GHG Protocol, Green Software Foundation guidance, The Green Grid, and emerging EU reporting expectations are beginning to define AI sustainability.
Who this is for
Professionals being asked to adopt AI who still want to uphold their values
Whether you sit in sustainability, ESG, IT, software engineering, product, data, procurement, reporting, or risk and compliance
No deep technical background required - just a desire to get this right
You’ll leave with a working understanding of an AI system’s lifecycle impacts, the evidence and vocabulary to engage credibly.
For those who sign-up, you’ll receive a free practical resource guide you can bring back to your work & team.
The session closes with live audience Q&A your have - don’t miss this opportunity!
