Fabrizio Degni

Fabrizio Degni

Fabrizio Degni

@fabrizio_degni

"𝗧𝗼𝗼 𝗺𝘂𝗰𝗵 𝗔𝗜 𝗿𝗲𝗴𝘂𝗹𝗮𝘁𝗶𝗼𝗻? 𝗡𝗼: 𝗿𝗲𝗴𝘂𝗹𝗮𝘁𝗶𝗼𝗻 𝘁𝗵𝗮𝘁 𝗶𝘀 𝘁𝗼𝗼 𝗽𝗼𝗼𝗿𝗹𝘆 𝗰𝗼𝗼𝗿𝗱𝗶𝗻𝗮𝘁𝗲𝗱" First of all, credit where it is due: Roberta Pisani and Carmelo Cennamo have framed, through their SDA Bocconi School of Management, one of the most important and often misunderstood issues in the European AI debate: the point that Europe has not "𝚝̶𝚘̶𝚘̶ ̶𝚖̶𝚞̶𝚌̶𝚑̶ ̶𝙰̶𝙸̶ ̶𝚛̶𝚎̶𝚐̶𝚞̶𝚕̶𝚊̶𝚝̶𝚒̶𝚘̶𝚗̶" but that we have regulation that is 𝚝̲𝚘̲𝚘̲ ̲𝚙̲𝚘̲𝚘̲𝚛̲𝚕̲𝚢̲ ̲𝚌̲𝚘̲𝚘̲𝚛̲𝚍̲𝚒̲𝚗̲𝚊̲𝚝̲𝚎̲𝚍̲. This distinction makes all the difference of the world. 🛜 Source: sdabocconi.it/en/sda-bocconi… From a Corporate Data & AI Governance perspective, I read this work as a serious 𝘄𝗮𝗿𝗻𝗶𝗻𝗴: AI does not fail to scale only because models are not powerful enough, or because companies are not ambitious enough, but because data often cannot move, cannot be reused, cannot be trusted, cannot be explained and cannot be lawfully recombined across the organizational and regulatory boundaries where real value would actually emerge. We keep discussing AI strategy, but in many organizations the real bottleneck is still upstream: fragmented consent, unclear lawful bases, uncertain secondary use, poor interoperability, weak metadata, contractual lock-in, missing lineage, inconsistent data quality or even the liability ambiguity. This is 𝘄𝗵𝘆 𝘁𝗵𝗲 𝗿𝗲𝗽𝗼𝗿𝘁 𝗶𝘀 𝗶𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁: it moves the debate from the ideological question, should Europe regulate less? to the operational question, 𝗵𝗼𝘄 𝗰𝗮𝗻 𝗘𝘂𝗿𝗼𝗽𝗲 𝗰𝗼𝗼𝗿𝗱𝗶𝗻𝗮𝘁𝗲 𝗯𝗲𝘁𝘁𝗲𝗿? The 𝗰𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝘃𝗲 𝗮𝗱𝘃𝗮𝗻𝘁𝗮𝗴𝗲 will belong to organizations capable of converting regulation into operating architecture: clear data ownership, enforceable purpose limitation, machine-readable consent, robust data quality controls, explainability by design, audit trails, privacy-enhancing technologies and governance embedded into the lifecycle, not attached at the end like a compliance appendix. The 𝗻𝗲𝘅𝘁 𝗽𝗵𝗮𝘀𝗲 𝗼𝗳 𝗔𝗜 𝗮𝗱𝗼𝗽𝘁𝗶𝗼𝗻 𝗶𝗻 𝗘𝘂𝗿𝗼𝗽𝗲 will be won by those who understand that trustworthy AI is, first of all, a data governance problem. #AI #ArtificialIntelligence #AIGovernance #AIEthics #SDABocconi #DataGovernance #DataRegulation