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Blog Responsible Technology Adoption Unit Blog

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Department for Science, Innovation and Technology

Nuala Polo

How AI assurance can support trustworthy AI in recruitment

Posted by: , and , Posted on: - Categories: Algorithms, Artificial intelligence, Assurance, Bias, Responsible innovation
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Today, DSIT’s Responsible Technology Adoption Unit (RTA) is pleased to publish our guidance on Responsible AI in recruitment. This guidance aims to help organisations responsibly procure and deploy AI systems for use in recruitment processes. The guidance identifies key considerations …

Fairness Innovation Challenge: Call for Use Cases

Posted by: , Posted on: - Categories: Algorithms, Artificial intelligence, Bias, Demographic data, Responsible innovation, Trust, Trustworthy innovation

Building and using AI systems fairly can be challenging, but is hugely important if the potential benefits from better use of AI are to be achieved.  Recognising this, the government's recent white paper “A pro-innovation approach to AI regulation” proposes …

From principles to practice: Launching the Portfolio of AI Assurance techniques

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

Today, we are pleased to announce the launch of DSIT’s Portfolio of AI Assurance Techniques. The portfolio features a range of case studies illustrating various AI assurance techniques being used in the real-world to support the development of trustworthy AI. …

From Roadmap to Reality: Insights from Industry on Advancing AI Assurance

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

As set out in the Government’s National AI Strategy, the UK aims to establish the most trusted and pro-innovation system for AI governance in the world. A key component of getting this light-touch and pro-innovation governance right, is delivering on …

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The Responsible Technology Adoption Unit uses its blog to share regular updates about its work. It has published articles on a range of issues relating to the use of data and AI.

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