AI GLOSSARY
Responsible AI
Responsible AI refers to the development and deployment of artificial intelligence systems in a manner that is ethical, transparent, and aligned with societal values. It emphasises fairness, accountability, privacy, and the minimisation of biases to ensure that AI technologies benefit individuals and communities without causing harm. Responsible AI practices also include ensuring that AI decision-making processes are understandable and accessible, fostering trust and inclusivity.
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AI-Powered Infrastructure Inspections for Local Authorities
Leanne McGregor:
Local authorities need to support their funding requests with high-quality data. The problem is that they can't obtain this data at the required...
5 min read
AI Assurance Explained: Trust, Safety, and Operational Impact
Alistair Garfoot:
The UK-USA Technology Prosperity Deal sees overseas organisations pledging £31 billion of investment into UK AI infrastructure. As AI investment...
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