7 Practical Applications of AI in Government

It also provides a completely scalable and extensible platform that adapts to meet the complexity of public sector use cases. H2O.ai’s leadership and expertise in AI automated machine learning, explainable AI and flexible architecture helps organizations around the world effectively meet these requirements while quickly delivering high value solutions to decision makers. Richard Johnstone is the executive editor of Global Government Forum, where he helps to produce editorial analysis and insight for the title’s audience of public servants around the world. Before joining GGF, he spent nearly five years at UK-based title Civil Service World, latterly as acting editor, and has worked in public policy journalism throughout his career.

Our host of capabilities are designed to allow companies to build fast, while improving transparency and trust. Leverage new mathematical techniques and current real-time information to create an accurate near-future forecast of on current realities of the supply chain. The recommendations have been briefed by officials as part of the Presidential Committee of Digital Platform Government, which was launched last September to provide a new government digital strategy. To develop these practices, we held a forum on AI oversight with experts from government, industry, and nonprofits. Artificial intelligence algorithms are also used to scour social media accounts to uncover inconsistencies in the stories people tell on social media and the claims they are making for benefits. Going on a cross-country race is not congruent with someone who receives disability benefits.

Conversational AI use cases in citizen services

In some cases, the tools are simple and transparent, such as electronic passport gates or number plate recognition cameras, both of which use visual recognition software powered by AI. Civil servants in at least eight Whitehall departments and a handful of police forces are using AI in a range of areas, but especially when it comes to helping them make decisions over welfare, immigration and criminal justice, the investigation shows. Another domain where generative AI is gaining traction is mission intelligence and execution. Over half of the respondents are either assessing or planning to evaluate its impact, with a similar percentage looking to implement AI to support mission activities. Confidence levels in generative AI’s ability to deliver value and cost savings in this realm are encouraging.

The workforce commission also has an AI tool for job seekers that provides customized recommendations of job openings. Various agencies are using AI for translating languages into English and call center tools such as speech-to-text. To increase the transparency and explainability of Deep Learning systems, technical and non-technical solutions are emerging.

California publishes first report on generative AI risks, potential use cases

Even if AI is performing better than the current baseline, a few highly-publicised errors can undermine confidence in their reliability. Furthermore, if the decisions are challenged, there needs to be an easily understood rationale. A majority of the unethical use of information stems from having unfettered access to data. Therefore, controlling the flow of this data is the way to manage and regulate the imbalance in this power equation. A possible solution would provide capabilities to store, share and manage all digital identities through smart contracts — Self Sovereign Identity (SSI), which is truly decentralised. The other way of approaching this problem is to provide tools in the hands of the end consumer to equip them with adequate protection against the inappropriate use of algorithms.

The OECD’s Recommendation on Artificial Intelligence is the backbone of the activities at the Global Partnership on Artificial Intelligence (GPAI) and the OECD AI Policy Observatory. In May 2019, the United States joined together with likeminded democracies of the world in adopting the OECD Recommendation on Artificial Intelligence, the first set of intergovernmental principles for trustworthy AI. The principles promote inclusive growth, human-centered values, transparency, safety and security, and accountability.

Specified types of AI capabilities shall include generative AI and specialized computing infrastructure. (c)  To foster a diverse AI-ready workforce, the Director of NSF shall prioritize available resources to support AI-related education and AI-related workforce development through existing programs. The Director shall additionally consult with agencies, as appropriate, to identify further opportunities for agencies to allocate resources for those purposes.

The chatbot answered more than 21 million questions before being replaced by Larry 2.0 last March. Affectionately named for the agency’s former head Larry Temple, who had died a year earlier, “Larry” the chatbot was designed to help Texans sign up for unemployment benefits. When the Texas Workforce Commission became inundated with jobless claims in March 2020, it turned to artificial intelligence. Kashyap Kompella is an award-winning industry analyst, best-selling author, educator, and AI advisor to leading companies and start-ups in US, Europe, and Asia-Pac. Thinkers 360 has ranked Kashyap as the #1 thought leader on AI globally (Oct 2021). On the global panel of MIT Tech Review, a TEDx speaker, and a member of the Forbes Tech Council.

Make Humans Lazy

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• But the presence of all these frameworks helps an organisation put in place the appropriate procedures for accountability.
• This level of personalization enhances the user experience, fosters trust, and increases citizen engagement with government services.
• The introduction of ‘business-like’ practices that New Public Management brought into the government over 30 years ago, has translated into the wide adoption of market solutions, such as standards, incentives and benchmarks.
• Broadly, Acemoglu suggested it is still to be determined how greater worker power can be obtained, and noted that workers themselves should help suggest productive uses for AI.