AI systems are rapidly transforming sustainability reporting, carbon accounting, ESG analysis, supply chain management, and climate risk management. In spaces where accuracy and trust are paramount, how do we ensure the responsible use of AI? What are the opportunities and challenges and what might the future hold?
Join us for a thought-provoking exploration of the future of AI in sustainability reporting and disclosure. The event will bring together experts, innovators, and practitioners to discuss:
- The biggest challenges and gaps in today’s AI-for-sustainability reporting landscape
- How AI is transforming supplier engagement and sustainability tracking across global value chains
- Does AI have a role in linking reporting practices to meaningful internal change (or might it risk decoupling them)?
- If AI can deliver time savings for sustainability practitioners in their day-to-day, how might this transform the nature of what sustainability teams do to drive change internally and in the supply chain?
- The role of AI in improving (or undermining) transparency, trust, and accountability
- Validation best practice: How do we know what we’re doing is working? And how do we validate the validation?
- Where do sustainability practitioners meet barriers internally, and how can we equip them with the evidence and tools to make progress?
- Challenges in quantifying and reporting on the sustainability of AI systems themselves
- Culture wars and political pushback as the background for ESG and corporate sustainability
- Emerging practices of selective adoption, where choosing not to automate or optimise becomes a strategic, ethical, or risk management option
- What lessons are there to be learned from the (effectively) missed limit of 1.5 degrees?
- The future of carbon and sustainability data and social license to operate















































