FINAL WORD
The line between data governance and AI governance
Data governance is all about availability , usability , integrity , and security , whereas AI governance concentrates on aligning AI initiatives with business goals . These activities are designed to enable accountability , especially as it relates to the introduction of bias , explains Sid Bhatia at Dataiku .
We all think about governance often in our daily lives . From our private living rooms to our boardrooms , we hope for a strong hand on the tiller . And what separates good governance from bad ? Nuance . Leaders that exhibit attention to detail are most commonly the most effective .
In the United Arab Emirates , as digitalisation continues in the season of Generative AI , enterprise leaders are gripping that tiller just a little bit more tightly , anxious about the details that may have slipped under their radar . Here , we explore an example of nuance in governance : the difference between data governance and AI governance .
The UAE government has used its own tiller to navigate the reef edge between nurturing innovation and protecting private individuals . Federal Decree Law No . 45 of 2021 , often referred to as the Personal Data Protection Law , is aimed at every aspect of data storage and handling , from collection and processing to any transfers within national borders .
And while the country has yet to enact any formal regulations surrounding AI , reports suggest that such regulations are in the pipeline . The UAE is already the first to establish an AI ministry ; and Digital Dubai has led the way on AI governance by publishing a set of guidelines on AI Ethics that call for the usual deliverables of fairness , accountability , transparency and explainability .
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