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

episode

AI Today Podcast not yet transcribed

▲ 0

Transcript

This episode hasn't been transcribed yet Upvotes decide what gets transcribed next — 0 so far. Sign in to upvote

Related

recent transcribed audio

A.I. Safety Goes Mainstream + a ‘Hard Fork’ Exit AMA 1h 25m · 18 Sep 2026 · Hard Fork

AWP: Beyond the Exam Room: Purpose, Myopia, and Population Health 54 min · 17 Sep 2026 · EyeCode Media

Planning Commission Meeting - Sep 17, 2026 1h 11m · 17 Sep 2026 · Leesburg Planning Commission

Heritage Commission - Sep 14, 2026 1h 57m · 17 Sep 2026 · Loudoun County Board Committees and Advisory Boards

Historic District Review Committee - Sep 14, 2026 1h 36m · 17 Sep 2026 · Loudoun County Board Committees and Advisory Boards

Planning Commission Work Session - Sep 17, 2026 4h 39m · 17 Sep 2026 · Loudoun County Planning Commission

Report any issue

Source

Recorded06 Jul 2022

Publisherfeeds.buzzsprout.com

Handlerec:12629551

Show notes

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.Continue reading AI Today Podcast: AI Failures Series: Falling into the Uncanny Valley at Cognilytica.

Ask this episode

“What did the council decide on item 42?” — answered with the speaker and the moment.

Sign in