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Six lessons for an AI assurance profession to learn from other domains - part three: features of effective certification schemes

Posted by: and , Posted on: - Categories: Algorithms, Artificial intelligence, Assurance

We are looking at professionalisation and certification as part of our programme of work to support the vision laid out in our roadmap to an effective AI assurance ecosystem. As discussed in part one, it will be helpful to learn …

Six lessons for an AI assurance profession to learn from other domains - part two: conditions for effective certification

Posted by: and , Posted on: - Categories: Algorithms, Artificial intelligence, Assurance

Lesson two: Broad community building is crucial  Community building that emphasises skills, communication, and diversity is crucial for ensuring that certification is reliable and accountable. Other sectors, like cybersecurity and healthcare, as well as cross-sector communities organised around ESG and …

Six lessons for an AI assurance profession to learn from other domains - part one: how can certification support trustworthy AI?

The UK government's recently published approach to AI regulation sets out a proportionate and adaptable framework that manages risk and enhances trust while also allowing innovation to flourish. The framework also highlights the critical role of tools for trustworthy AI, …