Local Government Generative AI Policy Tips
Microsoft launches generative AI service for government agencies
(c) The term “AI model” means a component of an information system that implements AI technology and uses computational, statistical, or machine-learning techniques to produce outputs from a given set of inputs. Specifically, the document outlines guiding principles on how government departments should buy AI technology and insights on tackling any challenges that may arise during procurement. As part of this Executive Order, the National Institute for Standards and Technology (NIST) will re-evaluate and assess AI used by federal agencies to investigate compliance with these principles. In preparation, the US Department of Health and Human Services has already created its inventory of AI use cases. Some companies have countered this, saying they will face high compliance costs and disproportionate liability risks. 11 Graphic by Marcus Comiter except for stop sign noise thumbnail and stop sign attack thumbnail from Eykholt, Kevin, et al. “Robust physical-world attacks on deep learning visual classification.” Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.
From there, you can put that in a pipeline, run it at scale across a large set of documents, and apply it to a line of your business applications. On the other side of the Atlantic, the United States has struggled with technology Secure and Compliant AI for Governments regulation, often falling behind the rapid pace of technological advancements. Congress’s track record in legislating technology is less than stellar, marked by delays, political polarization, and a general lack of expertise.
EU efforts to regulate AI in the public sector
Still, it comes down to capital investments and whether there is enough demand for the government to need or want to incorporate AI into its service delivery to warrant the investment. With the nature of its industry, it’s only appropriate that the government is cautious about how AI can affect their organization and what it means for their data protection. If AI is effectively applied across government departments, it can have a positive impact on the healthcare, energy, economic, and agriculture sectors. However, without clear governmental guidelines, AI can jeopardize the well-being of citizens. As cyberattacks become more and more sophisticated, legacy systems fail to prevent malicious activities. OCR data entry tools can process large document dumps in minutes, which would otherwise take hours to complete with legacy systems.
Independent regulatory agencies are encouraged, as they deem appropriate, to consider whether to mandate guidance through regulatory action in their areas of authority and responsibility. Such reports shall include, at a minimum, the information specified in subsection 4.2(c)(i) of this section as well as any additional information identified by the Secretary. (t) The term “machine learning” means a set of techniques that can be used to train AI algorithms https://www.metadialog.com/governments/ to improve performance at a task based on data. Accelerate content creation, communication and understanding with our GDPR-compliant AI content platform that writes in your tone of voice.Our AI content tool ensures that all data is handled and protected in compliance with GDPR regulations. Following this report, Mayor de Blasio signed Executive Order 50 to establish an Algorithms Management and Policy Officer within the Mayor’s Office of Operations.
New standards for AI safety and security
Embracing generative AI with thoughtful policies and transparent practices allows local governments to enhance customer service, optimize operations, and build stronger connections with their communities, all while maintaining robust local government cybersecurity and data privacy solutions. Local governments can seize the transformative potential of generative AI to serve their residents better by staying informed, proactive, and committed to responsible generative AI adoption. (a) The head of each agency developing policies and regulations related to AI shall use their authorities, as appropriate and consistent with applicable law, to promote competition in AI and related technologies, as well as in other markets.
In the workplace itself, AI should not be deployed in ways that undermine rights, worsen job quality, encourage undue worker surveillance, lessen market competition, introduce new health and safety risks, or cause harmful labor-force disruptions. The critical next steps in AI development should be built on the views of workers, labor unions, educators, and employers to support responsible uses of AI that improve workers’ lives, positively augment human work, and help all people safely enjoy the gains and opportunities from technological innovation. While many of these efforts target AI applications by businesses, governments are also starting to use AI more widely, with almost 150 significant federal departments, agencies, and sub-agencies in the US government using AI to support their activities. As such, governmental use of AI is also starting to be targeted, with initiatives to govern the use of AI in the public sector increasingly being proposed. In this blog post, we provide a high-level summary of some of the actions taken to regulate the use of AI in public law, focusing on the US, UK, and EU, first outlining the different ways governments use AI.
If your organization is taking generative AI models from any prominent provider of a large language model, it’s critical to prepare mitigation layers to reduce the risks and deliver the value you expect from this rapidly evolving technology. There’s a real risk in AI – particularly generative AI – of exacerbating inequities, which sometimes comes from the training data. For example, during the pandemic, minorities were more devastated by COVID-19 than wealthy or broader communities.
The federal government is already using AI — it’s time for a formal process to ensure the technology is safe – Nextgov/FCW
The federal government is already using AI — it’s time for a formal process to ensure the technology is safe.
Posted: Mon, 06 Nov 2023 08:00:00 GMT [source]
Why is AI governance important?
A robust AI governance framework enables organizations to: Foster transparency, fairness, accountability, and data privacy in AI use. Emphasize human oversight at critical decision points involving AI. Align AI use and development with established ethical standards and regulations.
How does military AI work?
Military AI capabilities includes not only weapons but also decision support systems that help defense leaders at all levels make better and more timely decisions, from the battlefield to the boardroom, and systems relating to everything from finance, payroll, and accounting, to the recruiting, retention, and promotion …
