Is AI advancing sustainability or creating costly trade-offs we’re only beginning to understand? In this post, we dive into the reality behind AI's potential as a force for sustainability. While AI shows promise in enhancing sustainable practices and supporting business processes, it also has a significant CO₂ footprint—mainly from energy-hungry data centres—and its environmental impact will likely grow. Though AI could help achieve Sustainable Development Goals, this depends on our responsible use and governance of the technology. Without stringent oversight, AI risks reinforcing societal biases, as seen in social media algorithms that foster echo chambers. As with all innovations, AI’s promise is matched by its challenges, and only a well-balanced approach can ensure it contributes meaningfully to a sustainable future.
The term sustainability is applied as the responsibility of enterprises for their impacts on society. In this context sustainability is about the integration of social, environmental, ethical, human rights, consumer concerns and financial performance into business operations and strategy in collaboration with stakeholders, with the aim of: Identifying, preventing and mitigating any possible adverse impacts of business’ actions on the environment and society while maximizing societal benefit.
Winter 2011, Summary: TheKey.to, Berlin. What can you get from attending the event? An evaluation on a European level.
Fall 2010, D3: Paris Ethical Fashion Week, the longest standing ethical fashion event. Technological innovation and clothing. Natural organic dyes and suppliers.