Ghazi Ahamat

Driving responsible innovation in self-driving vehicles

Michael Birtwistle, Ghazi Ahamat and Lara Bird, Centre for Data Ethics and Innovation, 19 August 2022 - Artificial intelligence, Data, Data-driven technology, Ethical innovation, Responsible innovation, Trustworthy innovation

Self-driving vehicles have the potential to radically transform the UK’s roads. But to enable their benefits and achieve the government’s ambition to ‘make the UK the best place in the world to deploy connected and automated vehicles’, developers and manufacturers …

Enabling trustworthy innovation by assuring AI systems

Ghazi Ahamat, Christopher Thomas and Jessica Bancroft, 8 December 2021 - Artificial intelligence, Assurance, Trustworthy innovation

Artificial intelligence (AI) offers huge potential to transform our society and economy. It has been harnessed to combat the pandemic; from supporting the discovery of new therapies and rapid virus detection methods, to powering dashboards that help clinicians make treatment …

Types of assurance in AI and the role of standards

Ghazi Ahamat, Madeleine Chang and Christopher Thomas, 17 April 2021 - Algorithms, Artificial intelligence, Ethical innovation, Trust

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 …

User needs for AI assurance

Ghazi Ahamat, Madeleine Chang and Christopher Thomas, 16 April 2021 - Algorithms, Artificial intelligence, Ethical innovation, Trust

This is the second 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 the need for AI assurance and the CDEI’s …

The need for effective AI assurance

Ghazi Ahamat, Madeleine Chang and Christopher Thomas, 15 April 2021 - Algorithms, Artificial intelligence, Ethical innovation, Trust

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 …

Public Sector Equality Duty and bias in algorithms

Ghazi Ahamat, 9 December 2020 - Algorithms, Bias, Facial recognition technology

In our recently published review into bias in algorithmic decision-making, we explored the regulatory context in which algorithmic decisions take place, which includes equality law, human rights law, discrimination law and sector specific regulations.  The main piece of legislation that …

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