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Uber Legislation and the Gig Economy

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Contenu fourni par Tech for Good Live | Podcast.co. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Tech for Good Live | Podcast.co ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.

Welcome to a new episode of the Tech for Good Live podcast. Another space rover has landed safely on Mars. But we're still stuck on Earth trying to figure out how to use the mute button on Zoom.

On this week’s episode we’re talking about the big existential questions in tech today. Should Artificial Intelligence be used to read our emotions? Can the law keep up with the ever-growing gig economy? Are we all destined to end up as space dust on a barren, rocky planet someday?

Ankur Asthana is on hosting duties this week, and he’s joined by Greg Ashton and Marium Navid.

This week’s topics:

Stat of the week

Can AI tell a person's emotions through their expression? Not likely, as people make the expected facial expression to match their emotional state only 20% to 30% of the time - OneZero/Medium

Charity news of the week

Ocasio-Cortez raises $5 million in under a week for Texas relief - CNN

Tech news of the week

A clash of culture? UK law says no to the "gig economy"

And finally

Pichu charges your phone with his cheek, which makes sense cause he's an electric type Pokémon - Game Informer

----------------------------

Listeners, what did you think? We’d love to hear your thoughts.

Get in touch on twitter @techforgoodlive or Email at hello@techforgood.live

We’d love it if you gave us a nice iTunes review and told your pals about this podcast!

Thanks to podcast.co for hosting our podcast.

If you’d like to be thanked on the podcast for giving us some cash, contact us on hello@techforgood.live. I promise we’ll spend it on transcription and not on kittens.

  continue reading

268 episodes

Artwork
iconPartager
 
Manage episode 286189115 series 2344129
Contenu fourni par Tech for Good Live | Podcast.co. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Tech for Good Live | Podcast.co ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.

Welcome to a new episode of the Tech for Good Live podcast. Another space rover has landed safely on Mars. But we're still stuck on Earth trying to figure out how to use the mute button on Zoom.

On this week’s episode we’re talking about the big existential questions in tech today. Should Artificial Intelligence be used to read our emotions? Can the law keep up with the ever-growing gig economy? Are we all destined to end up as space dust on a barren, rocky planet someday?

Ankur Asthana is on hosting duties this week, and he’s joined by Greg Ashton and Marium Navid.

This week’s topics:

Stat of the week

Can AI tell a person's emotions through their expression? Not likely, as people make the expected facial expression to match their emotional state only 20% to 30% of the time - OneZero/Medium

Charity news of the week

Ocasio-Cortez raises $5 million in under a week for Texas relief - CNN

Tech news of the week

A clash of culture? UK law says no to the "gig economy"

And finally

Pichu charges your phone with his cheek, which makes sense cause he's an electric type Pokémon - Game Informer

----------------------------

Listeners, what did you think? We’d love to hear your thoughts.

Get in touch on twitter @techforgoodlive or Email at hello@techforgood.live

We’d love it if you gave us a nice iTunes review and told your pals about this podcast!

Thanks to podcast.co for hosting our podcast.

If you’d like to be thanked on the podcast for giving us some cash, contact us on hello@techforgood.live. I promise we’ll spend it on transcription and not on kittens.

  continue reading

268 episodes

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