Episode

Data Watchdogs - ML 133

Podcast
Adventures in Machine Learning
Published
Nov 16, 2023
Duration seconds
3626
Processing state
failed
Canonical source
https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/data-watchdogs-ml-133
Audio
https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842103/stream.mp3
JSON
/v1/public/podcasts/adventures-in-machine-learning/episodes/data-watchdogs-ml-133
Markdown
/podcast/adventures-in-machine-learning/data-watchdogs-ml-133.md

Actions

  • POST https://stenobird.com/v1/public/podcasts/adventures-in-machine-learning/episodes/data-watchdogs-ml-133/transcription-requests
    Idempotently request low-priority transcript generation for this episode.
  • GET https://stenobird.com/podcast/adventures-in-machine-learning/data-watchdogs-ml-133.md
    Read the agent-friendly Markdown representation of this episode resource.

Summary

In today's episode, we speak with Agata Checinska (Spotify) and Kasia Batko-Toluc (Citizen Network Watchdog Poland) about data privacy, accessibility, and accuracy. Expect to learn about how Poland approaches these sensitive topics, the power of deep fakes, and much more! Sponsors Chuck's Resume Template Developer Book Club starting Become a Top 1% Dev with a Top End Devs Membership Socials LinkedIn: Agata Checinska LinkedIn: Katarzyna Batko-Toluc Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .