June 11, 2024
We are at the point where Artificial Intelligence is splitting into several capabilities. These include Generative, Natural Language Processing, Computer Vision, Predictive, and Deep Learning to name a few.
Today, we sit down with Melisa Bardhi from Excella and look at one aspect of AI, Generative AI, and examine how it can be used responsibly for federal applications.
In a short 25 minutes, she covers
- Definitions
- Beginnings
- Security
- Existing models
- AI training
Melisa begins by admitting that one must be cautious about data that is used to feed AI. All humans have biases, whether intentional or not. One document she would like to share with the audience is Excella’s Generative AI Use Policy.
Rather than starting with a major tech overhaul, it is suggested that an agency looks at a pilot with well-defined outcomes. Generally, Generative AI should be deployed in a controlled environment.
"And so transparency and explainability, especially the federal sector, is incredibly important to make sure that we build trust in these tools. And that’s why a key component of our talk today is not just Gen AI, but using it responsibility "
Melisa Bardhi, Excella Tweet
EP-158: How to Secure Artificial Intelligence
Why: Offers practical approaches to AI security, complementing ethical and governance concerns discussed in EP-154.
EP-163: Beyond the SBOM for Secure Software Development
Why: Addresses secure development practices, which are essential for implementing responsible AI systems.

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