Artificial Intelligence for the Public Sector

Empowering Public Service: Responsible Generative AI Use

Using Generative AI in Government

Divided into short accessible videos, the course is designed to provide practical skills to better serve the public. Master the fundamentals of Generative AI, explore real-world cases where GenAI is improving government services, learn best practices for protecting sensitive information while using GenAI, and more!

At-Your-Own-Pace Courses

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Responsible AI for Public Professionals
Through hands-on activities, these free courses showcase the practical ways you can use Generative Artificial Intelligence (GenAI) in your work as a public professional. We will also address the risks associated with these powerful tools, such as data privacy, hallucinations, and bias and how to mitigate them. Each course is at-your-own-pace. Videos are complemented by self-assessments and worksheets to support your learning. This two-course series was previously referred to as Responsible AI for Public Professionals: Using Generative AI at Work.

This course consists of 2 parts:

Part 1 - Using GenAI in Government
Part 2 - Understanding Risks and Building Resilience

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Responsible AI for Public Organizations
This two-part course guides public sector professionals through building impactful, responsible AI initiatives. Learn to align AI with agency goals, manage risks, and develop necessary skills. Free, self-paced, and open to all interested in using AI to transform government work.

This course consists of 2 parts:

Part 1 - Designing AI Projects in Government
Part 2 - Implementing AI Projects in Government

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What Works: Fast Field Scanning with AI
This course is designed to help public professionals accelerate the process of finding and implementing urgently-needed evidence-based solutions to public problems. This course is brought to you in partnership with Results for America and Solutions Journalism Network.
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Responsible AI for Public Sector Legal Professionals
This two-part course is designed for public sector legal professionals at all levels who are interested in learning more about safe and responsible individual use of GenAI tools. These free, online at-your-own-pace courses are designed for public sector lawyers and legal support staff to enable safe and responsible exploration and use of GenAI in your day-to-day work.

This course consists of 2 parts:

Part 1 - Using Generative AI: Everyday Tools and Best Practices
Part 2 - Designing AI Policy, Projects, and Societal Impact

Responsible AI for Public Sector Legal Professionals

Via hands-on activities and demos that are consistent with guidance provided by the American Bar Association, this course explores how AI is transforming the legal profession and how lawyers and their offices can responsibly use AI to better serve the public.

A Guide to Responsible and Efficient Use of Generative Tools

Workshops

Human in the Loop: Keeping People at the Center of AI
Sonita Singh, President and CEO, I-STARRT

September 8, 2025

2:00 PM ET

Beyond Translation: Human-Centered Language Access with AI
Barbara Niveyro, Bilingual Content Design Lead, Office of Innovation for the State of New Jersey
Ruthie Nachmany, Product Manager, Office of Innovation for the State of New Jersey

September 15, 2025

2:00 PM ET

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Leveraging Artificial Intelligence to Enroll in Federal and State Benefits
Alister Martin, Senior Fellow, The Burnes Center for Social Change

September 17, 2025

2:00 PM ET

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Blog Posts

Frequently asked questions about generative AI

  1. What is Generative AI?
    Generative AI is a type of artificial intelligence that uses machine learning algorithms to generate new data based on existing data. It can create new images, videos, music, and even text that are similar in style and content to the original data.

  2. How does Generative AI work?
    Generative AI uses neural networks to analyze and learn from large amounts of data. It then uses this knowledge to create new data that is similar to the original data. This process is called training the model.

  3. What are some examples of Generative AI?
    Some examples of Generative AI include creating realistic images of people, generating new music based on existing songs, and creating new text that is similar in style and content to existing text.

  4. What are the benefits of Generative AI? 
    Generative AI can be used to create new content quickly and efficiently, without the need for human input. It can also be used to generate new ideas and insights based on existing data.

  5. What are the risks of Generative AI?
    Generative AI can be used to create fake images, videos, and text that are difficult to distinguish from real ones. This can be used to spread misinformation and manipulate public opinion.

  6. How is Generative AI different from other types of AI?
    Generative AI is different from other types of AI, such as supervised and unsupervised learning, because it focuses on creating new data rather than analyzing existing data.

  7. How is Generative AI used in industry?
    Generative AI is used in a variety of industries, including entertainment, advertising, fashion, and healthcare. It can be used to create new content, design products, and analyze medical data.

  8. Can Generative AI be used for malicious purposes?
    Yes, Generative AI can be used for malicious purposes, such as creating fake news and propaganda, or impersonating individuals online.

  9. How can we ensure that Generative AI is used ethically?
    To ensure that Generative AI is used ethically, it is important to develop guidelines and regulations for its use. This can include ensuring that the data used to train the model is representative and unbiased, and that the generated content is clearly labeled as artificial.

  10. What is the future of Generative AI?
    The future of Generative AI is likely to involve more advanced algorithms and models that can create even more realistic and complex content. It may also involve new applications in fields such as robotics and virtual reality.

    *The FAQs have been created with the help of generative AI.

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