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Trust

Improving responsible access to demographic data to address bias

Posted by: and , Posted on: - Categories: Algorithms, Artificial intelligence, Bias, Data, Demographic data, Intermediaries, Trust

Following our review into bias in algorithmic decision-making, the CDEI has been exploring challenges around access to demographic data for detecting and mitigating bias in AI systems, and considering potential solutions to address these challenges.  Today we are publishing our …

Fairness Innovation Challenge: Call for Use Cases

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. …

Types of assurance in AI and the role of standards

This is the third in a series of three blogs on AI assurance, which explore the key concepts and practical challenges for developing an AI assurance ecosystem. The first blog focused on current confusion around AI assurance tools and the …

The need for effective AI assurance

Data-driven technologies, such as artificial intelligence (AI), have the potential to bring about significant benefits for our economy and society. However, they also introduce risks that need to be managed.  As these technologies are more widely adopted, there is an …

Privacy enhancing technologies for trustworthy use of data

Posted by: , Posted on: - Categories: Data, Data-sharing, Responsible innovation, Trust

The CDEI has been researching the role of privacy enhancing technologies (PETs) in enabling safe, private and trustworthy use of data. Privacy is a fundamental right. Organisations have an obligation to protect privacy, and must consider important legal, ethical, and …