Event Moment: AIS’s Brent Wodicka Explains Why Not All AI is Created Equal

In this moment, excerpted from the session “Building AI Literacy,” Brent Wodicka, CTO, AIS, considers a variety of examples of AI use cases to explain why it’s clear that not all AI was created equal or works the same way.

Key Takeaways

• Two categories: Wodicka breaks AI into two categories to demonstrate how much AI can vary: Discriminative AI and Generative AI. Understanding the difference between these two broad categories is key to making sense of how AI is evolving and how the categories work together.
• Discriminative vs. generative:  At a high level, discriminative AI can be thought of as “choosing” while generative AI “creates.” Discriminative AI is like a filter that classifies and predicts based on existing data. Generative AI goes beyond classifying data by creating, assisting, interpreting, and co-authoring content.