CGC | Creating Growth Capabilities

Responsible AI: how to govern models throughout their lifecycle

Responsible AI is not a statement of principles, but a set of practices that accompany a model from its design to its retirement.

Key practices

  • Risk assessment before deployment.
  • Monitoring of performance and possible bias.
  • Documentation of decisions.
  • Periodic review.

Innovate with confidence

Building these practices into the development cycle makes it possible to innovate with confidence and comply with regulation.

Tell us about your challenge

We work with organisations that want to make better decisions with their data and take artificial intelligence into production. Tell us what you need and we will get back to you.

By getting in touch you accept the privacy policy.