Neural Architecture Search
An automated machine learning process that uses algorithms to design and optimise neural network structures for specific tasks, reducing reliance on manual architecture engineering.
In plain language
Using AI to design better AI. Instead of manually building neural networks, you let an AI test thousands of different network designs and recommend the best one for your problem.
Why this matters
Neural architecture search can accelerate model development and improve performance, but the automated designs may be harder to interpret and audit than hand-engineered models. Organisations should establish clear governance over which automated design choices are acceptable for high-risk applications.
Relevance
GovernanceAutomated design processes require oversight and validation to ensure the resulting models meet interpretability and safety requirements for deployment.
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