Tech Transforms Podcast: It’s Time to Get Familiar with Generative AI
Tech Transforms, Sponsored by Dynatrace
Your favorite government technology podcast, sponsored by Dynatrace
Tech Transforms podcast: It’s Time to Get Familiar with Generative AI
On the Tech Transforms podcast, sponsored by Dynatrace, we talk to some of the most prominent influencers shaping critical government technology decisions.
Tracy Bannon, Senior Principal/Software Architect and DevOps Advisor at MITRE, is passionate about DevSecOps and the potential impact of artificial intelligence (AI) on the software development lifecycle (SLDC). As individuals and companies try to understand the potential impact of generative AI – both positive and negative – Bannon is helping them break through the fear, uncertainty and doubt (FUD) and understand how it can be used.
During the latest So What segment of the Tech Transforms podcast, I discuss how ChatGPT and other generative AI solutions are being used within corporate environments. They also highlight some of the shortcomings of current generative AI models, including hallucinations (where a large language model produces false information) and producing incorrect information or disinformation. Bannon attributes these challenges to two factors: one, users don’t have easy access to determine the information source and two, users don’t know who is building, controlling and/or feeding data into the model. She emphasizes that generative AI models are only as good as the information that they are fed. As the adage goes, “garbage in, garbage out.”
AI Can Help, But It Isn’t Coming for Your Job
Throughout the conversation, Bannon emphasizes that generative AI is still in its infancy and, while it has enormous potential, it still has a long way to go – especially when it comes to software development. She’s found it has too many flaws. “If I have to spend more time debugging what ChatGPT gave me, then it would take me to write it or to phone a friend and say, ‘Hey, I'm trying to figure this out. What would be the best way to code it?’ Well, that's an issue,” she said.
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So, what does Bannon use it for? Modernization. As new developers enter the workforce, they’re encountering software written in languages that they were not educated on. Complicating things further, there’s an aging generation of developers who have not been backfilled and did not create the necessary documentation for institutional knowledge transfer. Generative AI can help explain a piece of code in a language that’s growing archaic and the intent behind it.
Tune in to the full episode for more insights from Bannon on AI.