The Compatibility Between SDGs and the EU Regulatory Framework of AI

n Europe, there is increasing recognition of the ethical challenges associated with designing and developing Artificial Intelligence (AI) and Machine Learning (ML) systems, especially concerning their potential impact on fundamental rights. As a result, ethics frameworks and guidelines have been issued by stakeholders in both the private and public sectors. At the same time, fostering innovation in the field is also crucial. The implementation of the European Union (EU) sustainability goals is one area where AI/ML is expected to make a significant contribution, but there are important considerations to address. The expanding reliance on data storage and the subsequent increase in electricity consumption due to advancements in AI/ML have significant implications for greenhouse gas emissions. This paper examines the regulatory landscape for environmental sustainability using an institutional analysis contrasting the ethical frameworks and current normative standards applicable within the EU. The purpose is to identify a realistic and practical interpretation that prioritizes the development and implementation of AI/ML in a way that facilitates a smooth transition towards the sustainable usage of digital and automated technologies.