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
A month later, Eric Hysen, the department’s chief information officer and chief AI officer, told FedScoop that there’s been “good interest” in using generative AI within the agency. Zhou also pointed to record management and data storage as a potential issue.
Disaster reduction efforts focus on prediction, monitoring, and impactassessment through a cycle of prevention, preparedness, emergency response, and recovery. Droughts are classified into four categories, from meteorological drought characterized by low precipitation to socioeconomic drought impacting human activities.
The government took three key steps: i) careful planning for the green transition; ii) implementing green public procurement (GPP) in practice with a focus on building the capacity of public buyers; and iii) learning powered by data-driven monitoring with a public dashboard. We now have to help our business adapt and innovate.
The one finding that should definitely not go unnoticed is that, according to DRCF, ‘ Buyers can lack the technical expertise to effectively scrutinise the [algorithmic systems] they are procuring, whilst vendors may limit the information they share with buyers ’ (at 9). The issue is further compounded by the lack of standards and metrics.
The AI impactassessment must: state the intended purpose of the AI and its expected benefit; identify the potential risk using the AI and any mitigation measures beyond the minimum practices outlined in the memo; and evaluate the quality of the data used in the AI design and development. race, age, sex, etc.);
Correctly done, racial equity budgeting can make existing inequalities visible and help governments understand the impact of their choices on racial equity outcomes and drive more informed decisions. Instead, it is about the quality of spending and analyzing fiscal policies and budgetary decisions to understand their impact.
Section 2(g) refers to AI risk management, and states that It is important to manage the risks from the Federal Government’s own use of AI and increase its internal capacity to regulate, govern, and support responsible use of AI to deliver better results for Americans. These efforts start with people, our Nation’s greatest asset.
CBP has created a privacy threshold analysis an internal document used to analyze potential privacy risks associated with a new technology and whether a privacy impactassessment is necessary for Starlink internet, a step from agency officials that indicates that the SpaceX service is under serious consideration.
24 letter, which was viewed by FedScoop, technology experts at the Electronic Privacy Information Center emphasized that federal agencies need resources in order to comply with existing, as well as future, AI regulations. It is essential that agencies have the necessary capacity and direction to carry out these dual responsibilities.”
Beyond DHS, Anthropic has partnered with federal agencies on other work, including a nuclear information safety evaluation conducted alongside the National Nuclear Security Administration and the Department of Energy , as well as a research agreement with the AI Safety Institute. How did you set up a test bed for that?
As part of its motion for dismissal, OPM submitted to the court a privacy impactassessment, which details how the system it is using to send email blasts to all federal employees regarding the Trump administrations reduction in force efforts collects, hosts and disseminates information to federal employees.
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