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.
5 min read
AI for Sensor Fusion: Sensing the Invisible
by Nick Sherman
In Defence and National Security, mission-critical data often emerges from a multitude of different sensor types. With AI, we can bring this...
5 min read
Insuring Against AI Risk: An interview with Mike Osborne
by Nick Sherman
When used by malicious actors or without considerations for transparency and responsibility, AI poses significant risks. Mind Foundry is working with...
Stay connected
News, announcements, and blogs about AI in high-stakes applications.