Responsible AI Services
​Smarter AI still demands robust governance and human oversight. Our experts help plan and implement safeguards to protect the public and the responsible owners of AI services. We partner with organisations to assure their AI services for safe public services. Our unique Responsible AI tooling offers holistic cover and root cause analysis.
​
-
Our responsible AI tooling provides a Realtime dashboard across multiple metrics
-
MLC offer solutions where stakeholders set metrics and tolerance levels
-
Test models prior to deployment and in-life alerts
-
Compliance with UK AI Playbook
-
Governance and control to hold AI vendors and suppliers accountable
​
​Data Protection by Design: Real-time privacy compliance monitoring
​
Human Oversight Requirements: Clear performance dashboards for human validation
​
Risk Management: Automated alerts when models deviate from acceptable parameters.
​​
Metrics: Tolerance levels provide layers of protection.
​
Environmental Impact: Carbon footprint tracking as required by sustainability considerations
​
Security Monitoring: Built-in safeguards against AI-specific threats mentioned in the UK AI Playbook
Prepare
Who is accountable for AI services?
What metrics and tolerance levels are acceptable prior to intervention?
Is your organisation compliant with AI legislation?
-
​​​UK AI Playbook
-
EU AI ACT
-
OECD AI Principle
-
NIST AI RMF 1.0
-
IEEE Standards
-
ISO/IEC Standard
​
Prevent
​
How do you know your AI services are safe and ready for deployment?
What governance do you have in place to set and manage AI metrics and performance?
Do you know how your AI behaves?
​
Respond
​
How do you know the AI is working?
How do you identify drift, hallucinations and bias?
How do you rectify issues within tolerance levels to protect the public and the responsible owners?