AI GLOSSARY
Transparency
Transparency in AI refers to the extent to which the workings, decision-making processes, and underlying data of an AI system are open and understandable to users. It involves providing clear explanations of how models make decisions and the factors influencing outcomes, making it easier for stakeholders to trust and validate the system. Transparency is crucial for accountability, especially in high-stakes applications, where understanding the reasoning behind AI decisions can have significant ethical and legal implications.
4 min read
Industrial AI in 2026: Turning Uncertainty into Opportunity
Alistair Garfoot:
With pilot project failure rates as high as 80%, industries like manufacturing, utilities, and logistics have struggled to capitalise on AI’s...
4 min read
Digital Custodianship: The Future of Civil Infrastructure
Tom Bartley:
Our civil infrastructure is entering an accelerated phase of deterioration, and numerous challenges are hindering effective infrastructure...
Stay connected
News, announcements, and blogs about AI in high-stakes applications.