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OMB seeks input on privacy impact assessments for AI use

FedScoop

The White House Office of Management and Budget is looking for input on how federal agency privacy impact assessments could more effectively mitigate risks as technologies, such as artificial intelligence, become more advanced. The post OMB seeks input on privacy impact assessments for AI use appeared first on FedScoop.

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Generative AI could raise questions for federal records laws

FedScoop

But the agency’s provisional approval of a few generative AI products — which include ChatGPT, Bing Chat, Claude 2, DALL-E2, and Grammarly, per a privacy impact assessment — call for closer examination in regard to federal transparency. DHS tracks its FOIAs in a public log.

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Is the AI leash on federal agencies too long?

Federal News Network

So let’s start with the good, for AI that impacts rights and safety. The OMB memo requires agencies to conduct an impact assessment before they deploy the system. They could opt to do a shorter impact assessment and do a more deliberate one later on when there is less time pressure.

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Law enforcement agencies need standardized AI field testing, presidential advisers say

FedScoop

A potential checklist compiled by the subcommittee includes callouts to describe the AI tool and its intended use, document use limitation plans, conduct an AI impact assessment, identify the testing method and complete a questionnaire designed to “brainstorm and identify metrics” associated with the system.

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

AWS Public Sector

This targeted approach offers clearer accountability, enhanced transparency, simplified risk assessment, and focused testing procedures. Transparency and explainability AWS AI Service Cards provide transparency on the intended use cases, limitations, and responsible AI design choices for AWS AI services.

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Procuring AI without understanding it. Way to go?

How to Crack a Nut

The UK’s Digital Regulation Cooperation Forum (DRCF) has published a report on Transparency in the procurement of algorithmic systems (for short, the ‘AI procurement report’). Some of DRCF’s findings in the AI procurement report are astonishing, and should attract significant attention.

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Two roles of procurement in public sector digitalisation: gatekeeping and experimentation

How to Crack a Nut

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.