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AI in Government – Addressing bias in AI-assisted services
As the government progresses from prototype to production to ongoing operation with AI-assisted services for UK citizens, how can it minimise the risk of replicating structural biases? In this blog post, I’ll explore key elements of what’s involved in ensuring that services are as representative, fair and impartial as possible.
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AI in Government – Addressing bias in AI-assisted services
As the government progresses from prototype to production to ongoing operation with AI-assisted services for UK citizens, how can it minimise the risk of replicating structural biases? In this blog post, I’ll explore key elements of what’s involved in ensuring that services are as representative, fair and impartial as possible.
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AI in Government – Addressing bias in AI-assisted services
As the government progresses from prototype to production to ongoing operation with AI-assisted services for UK citizens, how can it minimise the risk of replicating structural biases? In this blog post, I’ll explore key elements of what’s involved in ensuring that services are as representative, fair and impartial as possible.
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- descriptionAs the government progresses from prototype to production to ongoing operation with AI-assisted services for UK citizens, how can it minimise the risk of replicating structural biases? In this blog post, I’ll explore key elements of what’s involved in ensuring that services are as representative, fair and impartial as possible.
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- keywordsArtificial Intelligence, ai, bias, structural bias, data, data piplines, MLOps, Machine Learning, observability, transparency, fairness, reliability, machine learning models, AI models
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- og:descriptionAs the government progresses from prototype to production to ongoing operation with AI-assisted services for UK citizens, how can it minimise the risk of replicating structural biases? In this blog post, I’ll explore key elements of what’s involved in ensuring that services are as representative, fair and impartial as possible.
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