AI Today Podcast: AI Failures Series: Falling into the Uncanny Valley

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer revisit the discussion around common reasons why AI projects fail. Sometimes AI systems can be too creepy and go into the uncanny valley. The uncanny valley is a relationship between the degree of an object's resemblance to a human being and the emotional response to the object. In this episode we go into greater detail on what the uncanny valley is, what happens once organizations cross this line, and provide real world examples of where AI technology has crossed into the uncanny valley. Show Notes: CPMAI MethodologyIntro to CPMAI WebinarThe Uncanny Valley (Wikipedia)Henn-na Hotel: A strange hotel staffed by robots (The Robot Report)The Henn na Hotel in Japan is firing most of its robotic workforce and hiring humans instead — highlighting the limits of automation (Business Insider)AI Today Podcast: AI Failure Series – Believing Vendor & Industry HypeAI Today Podcast: AI Failure Series – Data Quantity & Data Understanding IssuesAI Today Podcast: AI Failure Series – ROI MisalignmentAI Today podcast: AI Failure Series- AI projects are NOT like traditional software development projectsAI Today Podcast: AI Failure Series – The Real World MismatchAI Today Podcast: AI Failure Series – Iteration Time & Proof of Concept vs. PilotsAI Today Podcast #48: Pseudo AI – Faking it Till You Make it in AI