Trustworthy AI depends as much on governance and organisational culture as on technical safeguards, says AIOLIA researcher Susana Aires
Europe has no shortage of AI ethics principles. Over the past decade, policymakers have developed guidelines, standards and, most recently, the AI Act. Yet many organisations still face a more practical question: how do you actually turn those principles into everyday decisions?
One effort to address that implementation gap comes from the Horizon Europe-funded AIOLIA project.
Drawing on evidence from the project’s use cases, its guidelines identify common ethical challenges and set out operational, non-technical measures to help organisations address them across three research areas: General-Purpose AI, Emotional AI and Decision Support Systems.
“AI ethics provides an important baseline because we need a shared understanding of what good AI looks like,” said Susana Aires of the Centre for European Policy Studies (CEPS), one of the report’s authors.
