The Benefits of AI in State and Local Government Operations

The department’s algorithms were not fully explained, and their ability to test for unfair impacts was limited. The Guardian examined those projects, as well as a separate database compiled by the Public Law Project. The Guardian then issued freedom of information requests to every government department and police authority in the UK to build a fuller picture of where AI is currently making decisions which affect people’s lives. The Cabinet Office recently launched an “algorithmic transparency reporting standard”, which encourages departments and police authorities to voluntarily disclose where they use AI to help make decisions which could have a material impact on the general public. For years, however, civil servants have been relying on less sophisticated algorithmic tools to help make a range of decisions about people’s daily lives.

In contrast, roughly two-thirds of IT executives, presumably closer to implementation rhythms, see business operations getting new generative AI applications in the next 6-12 months, followed by case management cybersecurity use cases. However, the survey also highlights several areas of hesitation that warrant attention. The top concerns related to the risks of using generative AI include a lack of controls to ensure ethical/responsible information generation, a lack of ability to verify/explain generated output and potential abuse/distortion of government-generated content in the public domain. Artificial Intelligence (AI) is on the brink of transforming government agencies, promising to elevate citizen services and boost workforce productivity. As agencies gear up to integrate generative AI into their operations, understanding opportunities, concerns and sentiments becomes crucial for preparing to transition into this AI-driven era of government operations. (iii)  Within 180 days of the date of this order, the Secretary of Transportation shall direct the Advanced Research Projects Agency-Infrastructure (ARPA-I) to explore the transportation-related opportunities and challenges of AI — including regarding software-defined AI enhancements impacting autonomous mobility ecosystems.

Exploring the Role of Advanced Technology in Government

The AI advisory council is the first step toward oversight of how the technology is being deployed. The seven-member council will include a member of the state House and the Senate, an executive director and four individuals appointed by the governor with expertise in AI, ethics, law enforcement and constitutional law. As to the how of AI regulation, a wide range of regulatory tools and approaches are available. There is self-regulation where industry participants voluntarily establish standards and best practices and agree to abide by them.

• However, while the positive effects of major breakthroughs possible through embracing AI in general and Machine Learning in particular are often emphasised, their potential negative consequences and risks on human conditions require that socio-economic, legal and ethical impacts are carefully addressed and anticipated.
• AI cannot be accessed and utilized akin to human intelligence, but it can store infinite data.
• More fine grained data about citizens may mean increased oversight, and is in itself a powerful tool of global governance (Johns, 2017).
• The seven-member council will include a member of the state House and the Senate, an executive director and four individuals appointed by the governor with expertise in AI, ethics, law enforcement and constitutional law.

Enhancing baseline user education on how algorithms work, avoiding and correcting model bias, and standardizing and compiling data in a way that respects basic human rights, including privacy, are critically important steps for government agencies as they move to implement AI-back tools and solutions. While the federal government follows the lead of private sector companies in the financial and healthcare industries in adapting to AI, government tools still have some catching up to do. Further, government AI tools lag in sophistication, are mostly developed internally, and lack clear reporting on how effectively they meet agency needs, the report showed. The event aimed to provide state leaders with foundational knowledge about AI technologies and applications in state government.

Contributing to public policy objectives

The federal market for AI is in its very early stages but already we see how the market is likely going to move in the coming years. While we think that the diversified approach taken by the U.S. is likely to eventually pay off, it is equally likely to cause the U.S. to fall even further behind China over the next several years. Enhancing the power and direction of NAIIO would be an excellent first step to bring structure to this chaotic marketplace. All of the data for this series has been taken directly from federal contracts and was consolidated and provided to us by Leadership Connect. Leadership Connect has an extensive repository of federal contracts and their data forms the basis for this series of papers. Other industries use AI to support R&D activities, such as in the healthcare space for drug discovery work and the consumer product goods sector for new product creation.

(i)  The initial means, instructions, and guidance issued pursuant to subsections 10.1(a)-(h) of this section shall not apply to AI when it is used as a component of a national security system, which shall be addressed by the proposed National Security Memorandum described in subsection 4.8 of this order. The guidelines shall, at a minimum, describe the significant factors that bear on differential-privacy safeguards and common risks to realizing practice. (C)  disseminates those recommendations, best practices, or other informal guidance to appropriate stakeholders, including healthcare providers. The recommendations shall address any copyright and related issues discussed in the United States Copyright Office’s study, including the scope of protection for works produced using AI and the treatment of copyrighted works in AI training. Such actions may include a requirement that United States IaaS Providers require foreign resellers of United States IaaS Products to provide United States IaaS Providers verifications relative to those subsections. (g)  The term “crime forecasting” means the use of analytical techniques to attempt to predict future crimes or crime-related information.

Will replace humans in the political debate, only that they can help us express ourselves. If you’ve ever used a Hallmark greeting card or signed a petition, you’ve already demonstrated that you’re OK with accepting help to articulate your personal sentiments or political beliefs. Will make it easier to generate first drafts, and provide editing help and suggest alternative phrasings. Uses are perceived will change over time, and there is still much room for improvement in LLMs—but their assistive power is real. People are already testing and speculating on their potential for speechwriting, lobbying, and campaign messaging. Highly influential people often rely on professional speechwriters and staff to help develop their thoughts, and A.I.

Beyond publishing a comprehensive strategy, the government has attempted to change its own modus operandi with the use of AI services. One of the programmes that have been piloted is AuroraAI, “an operations model based on people’s needs, where artificial intelligence helps citizens and companies to utilise services in a timely and ethically sustainable manner” (Finland Government, 2019b). Investment in data strategy, technologies that support machine learning and artificial intelligence, and hiring skilled data professionals is a top priority for the UK government. Ministers of the Department for Work and Pensions (DWP) have rolled out and tested AI to automate claims processing and fight fraud within their department. Over the last year, the department unleashed artificial intelligence algorithms to track down large-scale corruption of the benefit and welfare program to stop criminal gangs who are responsible for extremely large losses. Ultimately, this effort protects taxpayers’ money and gets the benefits to those who they are intended for.

Testing and evaluations, including post-deployment performance monitoring, will help ensure that AI systems function as intended, are resilient against misuse or dangerous modifications, are ethically developed and operated in a secure manner, and are compliant with applicable Federal laws and policies. Finally, my Administration will help develop effective labeling and content provenance mechanisms, so that Americans are able to determine when content is generated using AI and when it is not. These actions will provide a vital foundation for an approach that addresses AI’s risks without unduly reducing its benefits.

The wide range of possibilities will be explored in more detail in the next section, which outlines some key use cases for deploying conversational AI in government. By understanding the various applications of technologies like conversational AI, hyperautomation, and TX, public sector organizations can start to envision how they could specifically benefit their needs and operations as part of a digital transformation strategy. As government organizations pursue digital transformation, technologies like conversational AI will be critical to optimizing operational costs and delivering seamless citizen services. For example, Gartner predicts that by 2026, 60% of government organizations will prioritize business process automation through hyperautomation initiatives to support business and IT processes in government to deliver connected and seamless citizen services. GPAI is a voluntary, multi-stakeholder initiative launched in June 2020 for the advancement of AI in a manner consistent with democratic values and human rights. GPAI’s mandate is focused on project-oriented collaboration, which it supports through working groups looking at responsible AI, data governance, the future of work, and commercialization and innovation.

Top uses for AI in government and public services — now and

As a founding member, the United States has played a critical role in guiding GPAI and ensuring it complements the work of the OECD. Fraud detection and prevention are areas where AI can significantly benefit government operations. AI in government algorithms can analyze large volumes of data to identify patterns and anomalies that may indicate fraudulent activities.

However, agencies would want to avoid disclosing their internal AI tools, so as not to risk bad actors reverse-engineering government tools to continue to perpetuate fraud, which is counterintuitive to expectations of government transparency. The wide range of new government benefit programs released during the COVID-19 pandemic set the stage for an uptick in government fraud activity. Three years later, fraudulent activity has not slowed, and experts predict that these behaviors will persist.

Agencies are encouraged to submit to the Technology Modernization Fund project funding proposals that include AI — and particularly generative AI — in service of mission delivery. (a)  Within 365 days of the date of this order, to prevent unlawful discrimination from AI used for hiring, the Secretary of Labor shall publish guidance for Federal contractors regarding nondiscrimination in hiring involving AI and other technology-based hiring systems. (F)  enable the analysis of whether algorithmic systems in use by benefit programs achieve equitable outcomes. 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. (ii)  any computing cluster that has a set of machines physically co-located in a single datacenter, transitively connected by data center networking of over 100 Gbit/s, and having a theoretical maximum computing capacity of 1020 integer or floating-point operations per second for training AI. (p)  The term “generative AI” means the class of AI models that emulate the structure and characteristics of input data in order to generate derived synthetic content.

It would also establish said international body and it would provide a mechanism for enforcing the rules. Another option is to create a voluntary code of conduct based on the above four principles. If we don’t, we risk ceding control of this powerful technology to a handful of nations and companies. Getting context right is key but we also need to account for the many interpretations of fairness as it is technically impossible to satisfy all of them. Local, regional, and country-specific nuances will always be a challenge to a mechanical notion of fairness, embedded in an AI system by training on past historical data. One way to tackle this is to engage early on with stakeholders and decide on some metric of fairness.

• This pioneering set of intergovernmental standards on AI stresses the importance of ensuring that AI systems embody human-centred values, such as fairness, transparency, explainability and accountability, among others.
• We will be doing a lot of repetitive tasks as part of our daily work, such as checking documents for flaws and mailing thank-you notes, among other things.
• The AI advisory council is the first step toward oversight of how the technology is being deployed.
• We want America to maintain our scientific and technological edge, because it’s critical to us thriving in the 21st century economy.
• We have to understand that we live in an informational environment, in an infosphere.
• At the same time, major tech firms including Google, Facebook and Microsoft-backed OpenAI are competing with one another to develop and release new AI tools that can produce content.

Read more about Benefits Of AI For Government here.

• 30/08/2023
• un messaggio di: Amore
• Da: ayatnoor