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Beyond the buzz: 5 steps to kick-start your government’s AI journey

By Shonte Eldridge
beyond the buzz government

As a former government leader who started in the early 1990s, I have seen my share of tech transformations, from using desktop computers to adopting the internet and cloud computing. With the latest artificial intelligence (AI) technology advancements, the public sector industry is poised to transform operations, boost efficiency, and improve the constituent experience. Yet many government leaders remain apprehensive about exploring AI’s full potential due to data privacy, ethical considerations, and other known and unknown risks.

Consider these five steps to kick-start your government’s AI journey:

1. Educate and build awareness

The first step to overcoming any basic fear and doubt is education. AI is often misunderstood, and myths surrounding the technology can lead to miscommunication and resistance to adoption. It is crucial to provide clarity and transparency to ensure that stakeholders, whether they are government officials, employees, or members of the public, are fully informed about what AI truly is and how the administration plans to use it. This includes making the distinction between AI/ML and GenAI use cases.

One way to build this understanding is by hosting workshops or webinars that feature AI experts who can break down complex concepts and highlight the technology’s practical advantages. Focus on real-world examples of AI successfully implemented in the public sector. By using public sector examples rather than private sector case studies, you help stakeholders relate to and see the relevance of AI in their environment.

2. Develop a clear vision and strategy

As anyone in government knows, a comprehensive strategy is critical to a successful and sustainable transformation, and the same applies to any AI deployment. Most government leaders begin their AI journey by creating policies that outline the technology’s permitted and prohibited uses. Policies alone, however, are not enough. Without a clear vision to guide the implementation of AI projects, leaders risk wasting time and resources and missing opportunities for meaningful impact.

Having a strategy provides direction for selecting the right AI tools, developing partnerships, and ensuring AI integration aligns with the government’s broader objectives. Additionally, by creating a comprehensive vision and strategy, government leaders can successfully implement AI systems that drive innovation, improve public services, and enhance overall governance. In the end, combining a solid policy framework and a forward-thinking strategy enables governments to unlock AI’s full potential and make meaningful, lasting improvements in the public sector.

3. Start small and scale gradually

One of the most effective ways to begin any digital transformation is to start with small, short, and manageable projects. Focusing on pilot programs can offer valuable insights without significant investment or risk, allowing users to learn and adapt without feeling confused and overwhelmed.

Projects should be easy to deploy and measured to provide valuable learning opportunities for a broader AI implementation.

Another critical step is establishing an AI working group or committee. This group can serve as a hub for sharing experiences, discussing challenges, and brainstorming future use cases for AI. This open forum can also help reluctant government employees and leaders recognize that AI is not a fad but a sustainable tool to address specific needs.

4. Ensure transparency, security, and ethical standards

Transparency and ethics are critical components of any AI policy and strategy, particularly in the public sector. To build trust and alleviate fear, leaders should be transparent about how AI systems operate and the decision-making processes behind implementation.

Most government leaders start their AI journey by developing policies that outline the technology’s permitted and prohibited uses. However, creating guidelines that address bias, fairness, and accountability and align with national and best-in-class standards should be considered. To help government leaders with this phase, the National Association of Counties’ AI Exploratory Committee released a report on integrating artificial intelligence.

5. Invest in AI skills and talent development

Successful AI implementation requires more than procuring the right technology. Government leaders should prioritize upskilling their employees to ensure they have the technical know-how to navigate the complexities of AI-driven processes. By investing in the education and training of employees, governments can reduce the fear surrounding AI, build confidence in the workforce, and foster a culture of innovation and continuous improvement. If resources are constrained, consider partnering with AI specialists from universities or private sector companies to augment staff and design training programs, conduct workshops, or offer hands-on mentorship, allowing employees to gain practical experience in a guided environment.

Providing AI training will not only help reduce fear but also build a workforce capable and enthusiastic about using AI to drive innovation and ensure that AI technologies are deployed in ways that truly benefit the community.

Getting started: secure buy-in from stakeholders

The public sector is on the brink of a significant transformation with the latest advancements in artificial intelligence (AI) technology. Despite the potential to revolutionize operations, enhance efficiency, and improve the constituent experience, many government leaders remain hesitant due to concerns about data privacy, ethical considerations, and other risks. To address these concerns and successfully implement AI, a structured approach is essential.

First, educating and building awareness among stakeholders is crucial to dispel myths and foster understanding. Developing a clear vision and strategy ensures that AI initiatives align with broader government objectives and are implemented effectively. Starting with small, manageable projects allows for valuable learning experiences without significant risk. Ensuring transparency, security, and ethical standards builds trust and addresses potential biases and fairness issues. Finally, investing in AI skills and talent development empowers the workforce and fosters a culture of innovation.

By following these steps, government leaders can reduce fear and doubt surrounding AI, transform operations, and enhance public services. The next steps involve continuing to educate stakeholders, refining strategies, and gradually scaling AI initiatives while maintaining transparency and ethical standards. This approach will unlock AI’s full potential, leading to meaningful and lasting improvements in the public sector.



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