Labor Department’s AI roadmap geared toward ‘worker empowerment’
FedScoop
OCTOBER 18, 2024
As we embrace the opportunities that AI can offer, we must ensure workers are lifted up, not left behind.”
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National framework for AI assurance in Australian government: Guidance when building with AWS AI/ML solutions
AWS Public Sector
AUGUST 6, 2024
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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Two roles of procurement in public sector digitalisation: gatekeeping and experimentation
How to Crack a Nut
MARCH 10, 2023
Procurement is thus seen as a mechanism of ‘regulation by contract’ whereby the public buyer can impose requirements seeking to achieve broad goals of digital regulation, such as transparency, trustworthiness, or explainability, or to operationalise more general ‘AI ethics’ frameworks.
What's the rush -- some thoughts on the UK's Foundation Model Taskforce and regulation by Twitter
How to Crack a Nut
JUNE 19, 2023
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. Twitter announcements vs white paper? During the preparation of our response to the AI public consultation, we had a moment of confusion.
Procuring AI without understanding it. Way to go?
How to Crack a Nut
APRIL 4, 2023
Especially because, while the CCS AI DPS tries to address some issues, such as ethical risks (though the effectiveness of this can also be queried), it makes clear that ‘quality, price and cultural fit (including social value) can be assessed based on individual customer requirements’.
Some thoughts on the US' Executive Order on the Safe, Secure, and Trustworthy Development and Use of AI
How to Crack a Nut
NOVEMBER 7, 2023
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. In other words, it would be preferable to have a more continuous spectrum of mitigation measures in the context of waivers as well.
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