Streamline regulatory development, compliance, and reporting
GenAI presents an exciting opportunity for regulatory agency leaders to streamline their regulatory and compliance oversight processes. Regulators use tools to analyze a wide range of data to identify trends, patterns, and anomalies that are difficult to identify otherwise, and use that analysis to identify compliance and enforcement activities that are most at risk. can be targeted.
- Compliance monitoring and detection. By using GenAI's ability to evaluate rules-based logic and large amounts of data, governments can scale and optimize compliance monitoring and monitoring. For example, environmental protection agencies could utilize his GenAI to monitor industrial emissions data in real time and use it alongside air quality regulations. The platform can autonomously identify violators and initiate enforcement actions, contributing to maintaining clean air standards and protecting public health. Financial regulators can use a similar approach to analyze trading, market, trade, and other data to identify potential instances of insider trading.
- Regulatory streamlining. One use case is to create simulations of how draft regulations will impact different constituents and industries. Another opportunity is to identify unknown inconsistencies, inconsistencies, gaps or duplications in existing laws and statutes, or proposed new legislation.
Accelerating priorities across government
For heads of central agencies such as the Treasury, the Treasury, the Cabinet Office and the executive branch, GenAI offers a unique opportunity to accelerate the delivery of strategic priorities across government. Possible results include:
- Whole-of-government strategies and policies. Central agencies can use GenAI to help aggregate and integrate diverse policies and strategies across government, ensuring a consistent narrative and strong alignment with government-wide goals and priorities. Officials could also potentially use her GenAI to draft, review, and summarize complex topics for government consideration, as well as integrate comments and opinions from across the agency. .
- Improved communication. GenAI allows governments to more effectively communicate policies and budgets to the public. GenAI could make that process much easier. This tool can integrate information from various sources and create draft descriptions and summaries. For example, you can use GenAI to prepare simpler and more accessible communications in text, audio, video, infographics, and interactive media formats. It can support richer two-way communication with citizens to answer questions and queries. Tailor information to specific stakeholder groups such as industry, region, or family. Instantly translate your materials into multiple languages. People can access information in the language and format of their choice.
Getting started with GenAI in the public sector
As this article highlights, the rapid advancement of GenAI technology presents exciting opportunities for the public sector. We aim to help government leaders move beyond initial small-scale experiments, identify where to start their GenAI journey, and build the capacity to unlock their GenAI opportunities at scale. We have identified five critical success factors.
Prioritize high-value use cases.
We will explore the landscape of opportunities, but will quickly focus on a few “golden” use cases, or opportunities with the greatest potential value or benefit for citizens and governments. Develop pilot projects for these use cases and closely monitor the results. We call this stage “experiment and learn.” This allows the government to accumulate valuable first-hand experience and skills.
Capture and disseminate early learning.
Governments are still experimenting with GenAI and learning how it can improve public services. One of the most effective things senior leaders can do is establish mechanisms that encourage cross-pollination of ideas and learning. To do this, leaders must establish a central team responsible for tracking and sharing success stories and synthesizing common lessons and hurdles that agencies encounter. As GenAI matures, this role will shift to removing hurdles and providing core enablers.
Learn more about Gen AI
Learn more about Gen AI
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Invest in enablers.
At some point, all governments will deploy these technologies more broadly, refining, expanding, and optimizing them beyond use cases and pilots. Start preparing for it from the beginning. Invest in employee skills, design governance mechanisms, and implement key process and technology choices. Build the technology and data capabilities needed to enable more sophisticated GenAI use cases.
GenAI has the potential to deliver significant value if deployed responsibly, but it also comes with significant risks. That said, the biggest risk may be if governments fail to deploy GenAI fast enough or at all. To balance risks and opportunities, government leaders should aim to establish a responsible AI framework that builds the necessary guardrails and generates the confidence needed to drive innovation. A recent BCG study found that when leaders are proactive about responsible AI, companies achieve 58% more business benefits and are 17% more prepared to invest in responsible AI. It shows a 22% increase in preparedness for new AI regulations.
The benefits of GenAI will become apparent as knowledge workers explore the technology first-hand. Encouragement from leaders brings about change. Government leaders should create permission spaces for public sector employees to experiment within reason. One way she does this is by working closely with one or two of her pilots to demonstrate her hands-on approach.
Adoption of GenAI in the public sector is still in its early stages but needs to accelerate. AI-powered government efficiency and public benefit are no longer hypotheticals. Private sector adoption of GenAI-powered products and services, AI bots and assistants, and even company-specific proprietary trained models shows that the value is real and achievable. Some public sector leaders around the world have begun experimenting with use cases, but there is a disproportionate focus on downside risk. More senior leadership and investment is required to scale this up and maximize profit potential. Now is the time to put into action the immense government and public benefits that this innovative technology will bring.
The authors would like to thank Francisca Browne and Brad Goff for their contributions to this report.
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