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

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

• Marketing video for Read AI

Zoom rebrands existing and introduces new generative AI features

• Marketing video for Zoom Revenue Accelerator

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

Check out future streams on Twitch. Meanwhile, send us any AI Hell you see.

Find our book The AI Con here, and MAIHT3k merch here.

Subscribe to our newsletter via Buttondown.

Follow us!

Emily

• Bluesky: emilymbender.bsky.social
• Mastodon: dair-community.social/@EmilyMBender

Alex

• Bluesky: alexhanna.bsky.social
• Mastodon: dair-community.social/@alex
• Twitter: @alexhanna

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