Accelerate Sustainability with AI: A Practitioner's Perspective with Malte Øster

In today’s data-driven world, AI isn’t just on the map — it’s the fast lane. From mining critical insights and tracking regulatory shifts to forecasting risk, monitoring employee health and safety metrics, and streamlining reporting, AI is steering the future of EHS, sustainability, and compliance. But as professionals take the wheel, what roadblocks and green lights lie ahead on the journey? This series of articles will help you navigate the future of AI in EHS.

Artificial intelligence (AI) has promised to revolutionize the way we process information by collecting, analyzing, and operationalizing vast quantities of data. It could, if wielded responsibly and ethically, provide solutions to some of the world’s most intractable problems.

For sustainability experts, that is an appealing promise. Sustainability relies on data, forecasting, modeling, and analysis, and as these elements become more complex, the requirement for better technology tools to manage the burden becomes greater. AI, with its promise to augment human expertise with advanced pattern recognition abilities in a fraction of the time it would normally take, could indeed supercharge ESG and sustainability practices like reporting and regulatory analysis.

Despite what AI can theoretically accomplish, the reality is that we live in disruptive times, and AI isn’t making predicting the future any easier than it has been in the past. To look at where we are today and what the future will look like, 3E sat down with Malte Øster, a senior advisor at SustainX in Copenhagen and an expert in EU legislation, sustainability strategies, and ESG reporting.