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Labor Department’s AI roadmap geared toward ‘worker empowerment’

FedScoop

The 17-page document, titled “ Artificial Intelligence and Worker Well-Being: Principles and Best Practices for Developers and Employers ,” details eight key priorities for AI companies and management to follow that are intended to keep the focus on “centering worker empowerment and well-being.”

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National framework for AI assurance in Australian government: Guidance when building with AWS AI/ML solutions

AWS Public Sector

As Australia moves forward with its National framework for the assurance of artificial intelligence in government , Amazon Web Services (AWS) is committed to helping our customers implement AI solutions that align with Australia’s AI Ethics Principles.

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What's the rush -- some thoughts on the UK's Foundation Model Taskforce and regulation by Twitter

How to Crack a Nut

The Government published the white paper and an impact assessment supporting it, which primarily amount to doing nothing and maintaining the status quo (aka AI regulatory gap) in the UK. It was not only surprising that there was no detail, but also that there was no reference to the white paper or to any other official policy document.

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Procuring AI without understanding it. Way to go?

How to Crack a Nut

However, given the public sector’s digital skills gap, there is no reason to believe that the limited knowledge and asymmetries of information documented in the AI procurement report are less acute for public buyers than private buyers. None of this features in the recently released White Paper ‘AI regulation: a pro-innovation approach’.

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Some thoughts on the US' Executive Order on the Safe, Secure, and Trustworthy Development and Use of AI

How to Crack a Nut

Here, I reflect on these documents from the perspective of AI procurement as a major plank of this governance reform. general minimum practices Both in relation to safety- and rights-impact AI uses, the Draft AI in Government Policy would require agencies to engage in risk management both before and while using AI. Section 10.1(b)