In 1948, Alan Turing defines artificial intelligence as – being able to mimic human responses under specific conditions.
Does that still apply?
In this week’s episode, we explore the idea that just because you can call something AI, doesn’t make it AI. Have we even approached what should be considered “artificial Intelligence” with today’s technology?
We ask the defining questions:
- Is the data reliable? In a world where the phrase “garbage in; garbage out” is being replaced by “authoritative data source,” we look at the ideas on cleaning data.
- What is the role of automation? In what’s considered a first step, we look at what it means to get those mundane office tasks out of the way.
Michael Pomatto from NAVAIR shares how today’s interpretation of artificial intelligence has ramifications in the systematic processing of information. Jaime Fitzgibbons from the Defense Innovation Unit poses the challenge of how technology leaders can plan ten years out when game-changing technology hasn’t been invented yet.
Tune in as Michael, Jaime and their fellow expert thought leaders expand into topics like scaling, the amount of data needed, and bias built into the algorithm.
A baseline for a fascinating future.
Listen now on your favorite podcasting platform.
To view this webinar: Workflow Warfare – Bringing AI to DoD’s Back Office Functions .
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