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
Responsible AI for Public Professionals
This course consists of 2 parts:
Part 1 - Using GenAI in Government
Part 2 - Understanding Risks and Building Resilience
Responsible AI for Public Organizations
This course consists of 2 parts:
Part 1 - Designing AI Projects in Government
Part 2 - Implementing AI Projects in Government
What Works: Fast Field Scanning with AI
Responsible AI for Public Sector Legal Professionals
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.
Workshops
Human in the Loop: Keeping People at the Center of AI
Beyond Translation: Human-Centered Language Access with AI
Leveraging Artificial Intelligence to Enroll in Federal and State Benefits
Blog Posts
Frequently asked questions about generative AI
- 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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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