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
is actively working to introduce a “light touch” artificial intelligence bill that would aim to protect consumers and entrepreneurs by requiring AI companies to conduct risk and impactassessments for critical-impact AI systems and then undergo certification of such systems, according to a draft of the legislation obtained by FedScoop.
The post includes a focus on implementation to help Australian governments responsibly innovate whilst maintaining cloud-based agility. Evaluate models thoroughly on safety characteristics such as prompt stereotyping (encoded biases for gender, socioeconomic status, etc), factual knowledge, and toxicity.
Klaipeda is far from the only public agency in Lithuania using innovative approaches to procurement to make its city greener and healthier. The SPP Competence Center team consists of six experts who advise policy-makers and contracting authorities on all aspects of green, socially responsible and innovative procurement.
And there are attributes or properties influencing the interpretability of a model (eg clarity) for which there are no evaluation metrics (yet?). Public procurement is thus increasingly expected to play a crucial gatekeeping role in the adoption of digital technologies for public governance and the delivery of public services.
However, its findings are sufficiently worrying as to require a much more robust policy intervention that the proposals in the recently released White Paper ‘AI regulation: a pro-innovation approach’ ( for discussion, see here ). None of this features in the recently released White Paper ‘AI regulation: a pro-innovation approach’.
On March 28, 2024, the Office of Management and Budget (OMB) released Memorandum M-24-10 , Advancing Governance, Innovation, and Risk Management for Agency Use of Artificial Intelligence (Memo), updating and implementing OMB’s November 2023 proposed memorandum of the same name.
For example, in the past, certain guidance documents that directly impact the MAS negotiation process (and MAS contractors) has not been made available for public review. PAP 2021-05, Evaluation of FSS Program Pricing, is one such example. FedScoop recently acquired an updated draft of the legislation, which has seen major updates.
The document suggests that those looking to deploy generative artificial intelligence conduct a privacy impactassessment, as well as tailored generative AI-focused training for employees with access to protected data and the implementation of a full lifecycle stewardship of data. So far, one of those permitted services is ChatGPT.
b) details a set of governance reforms to be implemented in view of the Director of the Office of Management and Budget (OMB)’s guidance to strengthen the effective and appropriate use of AI, advance AI innovation, and manage risks from AI in the Federal Government. Section 10.1(b) Section 10.1(b) Section 10.1(b) Section 10.1(b) Section 10.1(b)
The memo strongly emphasizes AI innovation, instructing agencies to build IT infrastructure to support AI, collect data to train AI and evaluate potential applications of generative AI. The order also requires that agencies convene AI governance bodies and that they develop enterprise AI strategies.
A Washington-based public interest group focused on privacy rights is urging the Biden administration to ensure that federal agencies are able to direct resources toward AI regulation and evaluation ahead of a long-awaited executive order focused on the technology. In the Oct. In the Oct.
The company’s technology is already under evaluation at the Department of Homeland Security as a potential way to help Customs and Border Protection agents with training for asylum interviews. We’ve built a lot of capacity within DOE to just conduct this kind of red-teaming and evaluation.
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