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Linguists Versus 'AI' Speech Analysis (with Nicole Holliday), 2025.03.17
Episode 53

Linguists Versus 'AI' Speech Analysis (with Nicole Holliday), 2025.03.17

Mystery AI Hype Theater 3000

April 2, 20251h 0m

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Show Notes

Measuring your talk time? Counting your filler words? What about "analyzing" your "emotions"? Companies that push LLM technology to surveil and summarize video meetings are increasingly offering to (purportedly) analyze your participation and assign your speech some metrics, all in the name of "productivity". Sociolinguist Nicole Holliday joins Alex and Emily to take apart claims about these "AI" meeting feedback tools, and reveal them to be just sparkling bossware, with little insight into how we talk.

Nicole Holliday is Acting Associate Professor of Linguistics at the University of California-Berkeley.

Quick note: Our guest for this episode had some sound equipment issues, which unfortunately affected her audio quality.

Main course:

Read AI Review: This AI Reads Emotions During Video Calls

Zoom rebrands existing and introduces new generative AI features

Speech analysis startup releases AI tool that simulates difficult job interview conversation

Fresh AI Hell:

Amazon Echo will send all recordings to Amazon beginning March 28

Trump’s NIST no longer concerned with “safety” or “fairness”

Reporter Kevin Roose is feeling the bullshit

UW’s eScience institute pushing “AI” for information access

OpenAI whines about data being too expensive, with a side of Sinophobia

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Emily

Alex

Music by Toby Menon.
Artwork by Naomi Pleasure-Park
Production by Ozzy Llinas Goodman.

Topics

linguisticsspeech analysisopenaizoomzoom revenue acceleratorlarge language modelsfiller wordslanguagemeetings