“Every model has bias. The question is: Do you know what it is?”
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Regulatory requirements change fast—PDPL, GDPR, data localisation, AI ethics rules. Get practical guidance on what you actually need to do, how to document it, and how to stay audit-ready.
NEED HELP BUILDING RESPONSIBLE AI?
We help organiSations build AI systems they can trust and defend. From bias audits to model risk management to ethical impact assessments, get practical frameworks that satisfy regulators, stakeholders, and your own ethical standards.
Whether you're deploying your first AI model or scaling ML across the enterprise, we provide ethics and risk assurance that prevents problems before they become headlines.
Get in touch today and we'd be happy to support you.
Our CEO Yusra Ahmad talks to Sue Chadwick of Pinsent Masons about data ethics, the RED Foundation Data Ethics Playbook and views into the future.
Discussion paper written on behalf of the RED Foundation on the implications of consent in the context of real estate data usage.
A step by step guide to implementing ethical data practices within a real estate context.
A report by the RED Foundation Data Ethics Steering Group that explores the unseen costs of AI, offering a critical perspective on the ethical challenges AI presents.
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