How AI can reduce social inequality
In this episode of the Sustainability Matters podcast , David Rae, EY Global Lead for Technology and Innovation for EY Climate Change and Sustainability Services, explores the intersection of AI and social development. He poses a central question: Can AI drive equitable social progress, or will exponential technological change widen existing societal divides? Industry voices and thought leaders weigh in on whether AI can serve as a force for inclusion while offering clear strategies for responsible enterprise governance . Laura Turkington, EY Global Commercial, Innovation and AI for Good program Leader , emphasizes that human capability is foundational. She highlights how targeted skilling initiatives, from empowering young women in STEM to upskilling older generations, are critical to preventing digital exclusion. Dr. Angela Aristidou of Stanford HAI and the UCL School of Management breaks down the operational AI pipeline, highlighting why boardrooms must govern AI models well beyond deployment, including addressing historical data bias, conducting real-world team testing and planning for long-term asset decommissioning. Professor Michael Lepech of Stanford University challenges leaders to expand their boundary settings, arguing that meaningful sustainability assessments must look past single units of compute to capture broader socioeconomic parameters across the triple bottom line.









