SURVEYING THE SECTOR
As we wait for UAE government regulations on AI to take shape, we can reliably speculate on what that shape may be by looking at already published guidelines.
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.
Data governance is all about availability, usability, integrity, and security, whereas AI governance concentrates on aligning AI initiatives with business goals through documentation and audit. These activities are designed to enable accountability, especially as it relates to the potential introduction of bias in ML models.
Both pursue the underlying goal of trust, the trust of the consumer and the trust of the regulator. We have seen the latter’ s requirements in law for data governance, and in spirit, with laws potentially on the way for AI. In data governance, enterprises must also contend with their own industry standards and any international laws like GDPR.
As we wait for UAE government regulations on AI to take shape, we can reliably speculate on what that shape may be by looking at already published guidelines within the country and the various regulatory and non-regulatory actions of other governments around the world.
KEY TAKEAWAYS
• Leaders that exhibit attention to detail are commonly the most effective.
• Federal Decree Law No. 45 of 2021, referred to as the Personal Data Protection Law, is aimed at every aspect of data storage and handling.
• The UAE government has used its own tiller to navigate between nurturing innovation and protecting private individuals.
• Even the European Union has an AI Act that empowers the levying of significant penalties for non-compliance.
• Businesses must be aware of and navigate external rules as they digitalise their operations.
• Understanding where data governance ends and where AI governance begins is vital to remaining on the good side of regulators.
• When implementing data governance, look first to policies, centralised catalogues, and stewardship, and strive to maintain data quality.
• The effectiveness of AI governance will hinge on the level of observability of AI systems.
• It is in implementation where we can see differences between AI and data governance and AI frameworks should stand apart from cataloguing datasets.
• AI governance is about enforcing rules around implementation of solutions to avoid a range of errors during development and deployment.
• The effectiveness of AI governance will hinge on the level of observability of AI systems.
• In digitally competitive economies, a misstep could have implications for business, both in terms of lost consumer trust and regulatory penalties.
• It is vital that all people collaborate under common leadership and AI governance must be consistent, especially as new models emerge.
• Critical to the process is a platform that unites IT, data science, and business management through visibility into all projects.
• AI governance assures internal and external parties that models are being deployed, operated, and monitored fairly.
• As AI becomes enmeshed in everyday lives, AI governance will be the glue that holds everything together.
• Understanding how AI governance differs from data governance can prevent predictive and generative solutions from causing problems.
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