This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Harnessing AI is a useful way to advance modernization goals, but AI governance—including ethical considerations, data security, and compliance with federal regulations—must remain a top priority. And increased AI implementation demand that organizations rethink how they staff, develop, and run their day-to-day operations.
The UK Government’s Department for Science, Innovation and Technology (DSIT) has recently published its Initial Guidance for Regulators on Implementing the UK’s AI Regulatory Principles (Feb 2024) (the ‘AI guidance’). We will not rush to legislate ’.
And most importantly, how to accomplish all this securely, and ethically. She was also named to the World Economic Forum Young Scientist List and the MIT Technology Review World’s Top 35 Innovators under the Age of 35 list and is a Senior Member of the National Academy of Inventors. Predicting major events on a flood plain and more.
Perhaps surprisingly, the biggest developments do not concern the regulation of AI under the devolved model described in the ‘pro-innovation’ whitepaper, but its displacement outside existing regulatory regimes—both in terms of funding, and practical power. Twitter announcements vs whitepaper? Comments welcome!
However, its findings are sufficiently worrying as to require a much more robust policy intervention that the proposals in the recently released WhitePaper ‘AI regulation: a pro-innovation approach’ ( for discussion, see here ).
It will collaborate with existing organisations within government, academia, civil society, and the private sector to avoid duplication, ensuring that activity is both informing and complementing the UK’s regulatory approach to AI as set out in the AI Regulation whitepaper’.
Swimming against the tide, and seeking to diverge from the EU’s regulatory agenda and the EU AI Act , the UK announced a light-touch ‘pro-innovation approach’ in its July 2022 AI regulation policy paper. The ‘pro-innovation approach’ in the GCSA Report — squaring the circle?
According to Miller, “the goal is to make sure that we have access to new ideas as quickly as possible so we can bring [small businesses] in and drive innovation through the defense industrial base.” Ethical concerns about the uses of AI for healthcare and how veteran data is being used were expressed by lawmakers.
For FedInsider, he has written many articles and whitepapers and acted as the moderator for over 20 interviews featuring federal, state and local officials discussing technology, policy and governmental issues. At Janes, Ben is responsible for creating a culture of innovation and is responsible for developing new products.
Luke Keller, Chief Innovation Officer at the US Census Bureau, explains AI’s role in handling massive datasets, enhancing earth observation for accurate population counting, automating data ingestion, and metadata classification. They emphasized a strategic, ethical, and well-managed approach to AI deployment in federal agencies.
Luke Keller, Chief Innovation Officer at US Census bureau, highlighted using NIST guidelines, including bias reduction frameworks, to ensure ethical and accurate AI deployment. Close Deputy Chief Innovation Officer, U.S. Luke is currently working as the Chief Innovation Officer at the U.S.
We organize all of the trending information in your field so you don't have to. Join 5,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content