Language, AI and Change
Working with AI as a thinking and sensemaking partner
Thinking well with AI in complex, values-driven contexts
Language, AI and Change supports people and organisations to work with AI in ways that strengthen human judgement, clarity and ethical responsibility.
Rather than focusing on tools or trends, this work centres on how language, framing and interaction design shape what AI systems produce, and how people interpret, evaluate and use those outputs in real decision-making contexts.
My role is to help teams develop thoughtful ways of working with AI that enhance sensemaking, communication and strategic thinking, rather than replacing them.
Who's it for?
Language, AI and Change is designed for people working in community, environmental, research, policy and public-interest contexts who are:
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experimenting with AI tools and keen to learn new approaches
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using AI for analysis, writing and synthesis
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concerned about reliability, bias and ethics
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seeking principled ways to integrate AI into daily work.
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curious about generative AI in their context and cautious about AI-Slop!
What's it for?
AI tools are increasingly used to support analysis, synthesis, writing, planning and decision-making. Yet without careful attention to language, framing and evaluation, they can weaken understanding, amplify bias and narrow judgement.
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Language, AI and Change seeks to expand people’s capacity to work reflectively and responsibly with AI.
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This includes learning how to use AI as a partner for:
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ideation and exploration
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testing assumptions
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synthesising complex material
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reflective thinking
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improving clarity and coherence.
A language-centred approach to AI
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My approach draws on long-standing work in cognitive linguistics, communication science, social neuroscience and systems thinking, backed by decades of experience in writing, synthesis, editing and proofreading.
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It focuses on how:
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prompts frame attention
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wording shapes inference
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metaphors guide reasoning
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narratives influence judgement
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These linguistic structures play a central role in how AI systems perform and how their outputs are interpreted.
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Working at this level allows teams to move beyond writing better prompts toward more reflective, responsible and effective AI practice.
How it works
Language, AI and Change is delivered through tailored partnerships.
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Strategic AI sensemaking sessions
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Supporting teams to clarify where and how AI fits into their narrative and synthesis work and responsibilities.
Prompt and interaction design
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Developing principled, context-sensitive ways of working with AI systems as thinking, ideation and reflection partners.
Language and output evaluation
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Assessing AI-generated material for framing, bias, coherence, ethical risk and communicative impact.
Applied experimentation and reflection
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Supporting teams to test, reflect on and refine AI use in real projects.
Ongoing advisory support
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Providing continuity as tools, contexts and practices evolve.
Linguistic and editorial alignment and reinforcement learning
For organisations working directly on AI system development, evaluation and alignment
I work with AI companies and research organisations on the evaluation, alignment and improvement of language-based systems, with a particular focus on meaning, framing, coherence, bias and ethical risk.
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My work draws on linguistics, communication science and applied research experience, combined with hands-on involvement in large-scale evaluation, red-teaming and rubric-based assessment projects.
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I work remotely and flexibly across different evaluation protocols and project structures, bringing a rigorous, reflective and context-aware approach to quality, reliability and human-centred design.
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I am available for contract and advisory roles with organisations developing and testing AI systems for use in complex, public-interest and high-responsibility contexts.
