AI, automation and technical governance
Model behaviour, automated decisions and AI governance.
My work with AI systems and automated decisioning tools allows me to evaluate model behaviour, governance structures, transparency and emerging regulatory obligations.
I have designed and implemented controls against algorithmic bias and unexpected outputs, and helped organisations deploying AI put governance frameworks in place.
Questions I am asked to address
- How did a model or automated decision system behave, and why?
- Were the governance controls around an AI deployment appropriate?
- Were the risks of bias and unexpected outputs adequately identified and mitigated?
Example tools and platforms
- Models and platforms
- OpenAI GPT models
- Anthropic Claude
- Mistral
- Meta Llama
- Azure AI Foundry
- Techniques
- Machine learning in R and Python
- Natural language processing
- LLM document extraction and review pipelines
- Model evaluation and output testing
- Regulation and frameworks
- EU AI Act
- ISO/IEC 42001
- NIST AI Risk Management Framework
- UK GDPR rules on automated decision-making
Let's work together
Discuss an instruction
Send a short outline of the matter, the parties and any deadlines. I will run a conflict check and reply, usually within one working day.