AI, ML and Emerging Technology Governance

AI, ML and Emerging Technology Governance

AI, ML and Emerging Technology Governance

AI, ML and Emerging Technology Governance

Keeping innovation ethical

Keeping innovation ethical

Keeping innovation ethical

Whether you’re training models, deploying APIs, or embedding AI into products, we make sure the innovation stays ethical and compliant.

Whether you’re training models, deploying APIs, or embedding AI into products, we make sure the innovation stays ethical and compliant.

Whether you’re training models, deploying APIs, or embedding AI into products, we make sure the innovation stays ethical and compliant.

Whether you’re training models, deploying APIs, or embedding AI into products, we make sure the innovation stays ethical and compliant.

You’ll find us working on:

You’ll find us working on:

You’ll find us working on:

  • Model governance frameworks, risk matrices, accountability and explainability requirements that map product architecture to legal and reputational risks

  • Model governance frameworks, risk matrices, accountability and explainability requirements that map product architecture to legal and reputational risks

  • Model governance frameworks, risk matrices, accountability and explainability requirements that map product architecture to legal and reputational risks

  • Model governance frameworks, risk matrices, accountability and explainability requirements that map product architecture to legal and reputational risks

  • Requirements and drafting for model cards, usage policies and acceptable use terms for customers and partners

  • Requirements and drafting for model cards, usage policies and acceptable use terms for customers and partners

  • Requirements and drafting for model cards, usage policies and acceptable use terms for customers and partners

  • Requirements and drafting for model cards, usage policies and acceptable use terms for customers and partners

  • Bias testing and discrimination risk assessment for AI systems, performed using counterfactual testing and output reviews to identify unfair or high-risk behaviour while supporting compliance documentation

  • Bias testing and discrimination risk assessment for AI systems, performed using counterfactual testing and output reviews to identify unfair or high-risk behaviour while supporting compliance documentation

  • Bias testing and discrimination risk assessment for AI systems, performed using counterfactual testing and output reviews to identify unfair or high-risk behaviour while supporting compliance documentation

  • Bias testing and discrimination risk assessment for AI systems, performed using counterfactual testing and output reviews to identify unfair or high-risk behaviour while supporting compliance documentation

  • Advice on transparency obligations, legal bases for training data use, provenance requirements and minimising exposure to deceptive-synthetic-content risk

  • Advice on transparency obligations, legal bases for training data use, provenance requirements and minimising exposure to deceptive-synthetic-content risk

  • Advice on transparency obligations, legal bases for training data use, provenance requirements and minimising exposure to deceptive-synthetic-content risk

  • Advice on transparency obligations, legal bases for training data use, provenance requirements and minimising exposure to deceptive-synthetic-content risk