Responsible AI by Design
An approach that integrates ethical principles, fairness, transparency and accountability into every stage of the AI system design and development process from project inception.
In plain language
Building responsible practices into AI from day one, not adding them as an afterthought. Like building accessibility into a building from the blueprint stage rather than retrofitting it later.
Why this matters
Building responsibility into AI from the start is far more effective and cost-efficient than retrofitting it later. Your AI strategy should embed responsible AI requirements into project initiation, design reviews and approval gates, reducing the cost of compliance and the risk of costly rework.
Relevance
ImplementationIntegrating responsible AI checks into early design phases prevents costly remediation later; organisations should establish design checklists, review gates and standards that ensure fairness, transparency and accountability are considered before code is written.
Related terms
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