« AI x Corporate Sustainability »
Upcoming Sustainability Working Group (SWG) Insight Session on “Leveraging AI for Corporate Sustainability: Navigating Risk to Accelerate the Transition”
The use of Artificial Intelligence (AI) will increase exponentially in the next few years pushing all companies towards a more sustainable future. AI solutions for sustainability come with a promise to reduce overall emissions, streamline work processes or ease data collection and reporting. Its use in corporate sustainability also needs its safeguards. Many companies are developing codes of conduct for AI usage across their organization to help ethically navigate issues such as data privacy while efficiently handling large amounts of sensitive data.
This interactive discussion will cross expert perspectives – legal, regulatory, operational, ethical – around AI and corporate sustainability. It will also offer attendees examples of how companies are leveraging AI’s promise for sustainability objectives while mitigating its inherent risks.
KEY DISCUSSION POINTS
- What are the key regulations at the intersection of sustainability and AI?
- How AI can be deployed to measure, monitor, and report on sustainability performance?
- What are Pros & Cons of integrating AI?
- What are the strategies to mitigate the risks of AI? What are some best practices to implement them? What pitfalls to avoid?
Experts:
- Nicolas Miailhe, appointed expert to the AI group of experts at OECD and UNESCO’s High-Level Expert Group on AI ethics
- Julie Ravillon, Global CSR and Sustainability Leader at Salesforce and expert in digital and sustainable business strategy and transformation
- Laure Mandrou, Chief Sustainability Officer and Certification SVP for Bureau Veritas Group with international experience spanning across large projects, B2B service and product-based businesses
- Lori Gustavus, Corporate Sustainability Strategist and Chair of the EACC Sustainability Working Group [Discussion Lead]
Exchange in English
For more information, contact : [email protected]
