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Joss Fong: Videomaking, AI, and Science Communication

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Manage episode 409249728 series 2975159
Contenu fourni par The Gradient. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par The Gradient 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.

“You get more of what you engage with. Everyone who complains about coverage should understand that every click, every quote tweet, every argument is registered by these publications as engagement. If what you want is really meaty, dispassionate, balanced, and fair explainers, you need to click on that, you need to read the whole thing, you need to share it, talk about it, comment on it. We get the media that we deserve.”

In episode 117 of The Gradient Podcast, Daniel Bashir speaks to Joss Fong.

Joss is a producer focused on science and technology, and was a founding member of the Vox video team. Her work has been recognized by the AAAS Kavli Science Journalism Awards, the Online Journalism Awards, and the News & Documentary Emmys. She holds a master's degree in science, health, and environmental reporting from NYU.

Have suggestions for future podcast guests (or other feedback)? Let us know here or reach us at editor@thegradient.pub

Subscribe to The Gradient Podcast: Apple Podcasts | Spotify | Pocket Casts | RSSFollow The Gradient on Twitter

Outline:

* (00:00) Intro

* (01:32) Joss’s path into videomaking, J-school

* (07:45) Consumption and creation in explainer journalism

* (10:45) Finding clarity in information

* (13:15) Communication of ML research

* (15:55) Video journalism and science communication as separate and overlapping disciplines

* (19:41) Evolution of videos and videomaking

* (26:33) Explaining AI and communicating mental models

* (30:47) Meeting viewers in the middle, competing for attention

* (34:07) Explanatory techniques in Glad You Asked

* (37:10) Storytelling and communicating scientific information

* (40:57) “Is Beauty Culture Hurting Us?” and participating in video narratives

* (46:37) AI beauty filters

* (52:59) Obvious bias in generative AI

* (59:31) Definitions and ideas of progress, humanities and technology

* (1:05:08) “Iterative development” and outsourcing quality control to the public

* (1:07:10) Disagreement about (tech) journalism’s purpose

* (1:08:51) Incentives in newsrooms and journalistic organizations

* (1:12:04) AI for video generation and implications, limits of creativity

* (1:17:20) Skill and creativity

* (1:22:35) Joss’s new YouTube channel!

* (1:23:29) Outro

Links:

* Joss’s website and playlist of selected work

* AI-focused videos

* AI Art, Explained (2022)

* AI can do your homework. Now what? (2023)

* Computers just got a lot better at writing (2020)

* Facebook showed this ad to 95% women. Is that a problem? (2020)

* What facial recognition steals from us (2019)

* The big debate about the future of work (2017)

* AI and Creativity short film for Runway’s AIFF (2023)

* Others

* Is Beauty Culture Hurting Us? from Glad You Asked (2020)

* Joss’s Scientific American videos :)


Get full access to The Gradient at thegradientpub.substack.com/subscribe
  continue reading

129 episodes

Artwork
iconPartager
 
Manage episode 409249728 series 2975159
Contenu fourni par The Gradient. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par The Gradient 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.

“You get more of what you engage with. Everyone who complains about coverage should understand that every click, every quote tweet, every argument is registered by these publications as engagement. If what you want is really meaty, dispassionate, balanced, and fair explainers, you need to click on that, you need to read the whole thing, you need to share it, talk about it, comment on it. We get the media that we deserve.”

In episode 117 of The Gradient Podcast, Daniel Bashir speaks to Joss Fong.

Joss is a producer focused on science and technology, and was a founding member of the Vox video team. Her work has been recognized by the AAAS Kavli Science Journalism Awards, the Online Journalism Awards, and the News & Documentary Emmys. She holds a master's degree in science, health, and environmental reporting from NYU.

Have suggestions for future podcast guests (or other feedback)? Let us know here or reach us at editor@thegradient.pub

Subscribe to The Gradient Podcast: Apple Podcasts | Spotify | Pocket Casts | RSSFollow The Gradient on Twitter

Outline:

* (00:00) Intro

* (01:32) Joss’s path into videomaking, J-school

* (07:45) Consumption and creation in explainer journalism

* (10:45) Finding clarity in information

* (13:15) Communication of ML research

* (15:55) Video journalism and science communication as separate and overlapping disciplines

* (19:41) Evolution of videos and videomaking

* (26:33) Explaining AI and communicating mental models

* (30:47) Meeting viewers in the middle, competing for attention

* (34:07) Explanatory techniques in Glad You Asked

* (37:10) Storytelling and communicating scientific information

* (40:57) “Is Beauty Culture Hurting Us?” and participating in video narratives

* (46:37) AI beauty filters

* (52:59) Obvious bias in generative AI

* (59:31) Definitions and ideas of progress, humanities and technology

* (1:05:08) “Iterative development” and outsourcing quality control to the public

* (1:07:10) Disagreement about (tech) journalism’s purpose

* (1:08:51) Incentives in newsrooms and journalistic organizations

* (1:12:04) AI for video generation and implications, limits of creativity

* (1:17:20) Skill and creativity

* (1:22:35) Joss’s new YouTube channel!

* (1:23:29) Outro

Links:

* Joss’s website and playlist of selected work

* AI-focused videos

* AI Art, Explained (2022)

* AI can do your homework. Now what? (2023)

* Computers just got a lot better at writing (2020)

* Facebook showed this ad to 95% women. Is that a problem? (2020)

* What facial recognition steals from us (2019)

* The big debate about the future of work (2017)

* AI and Creativity short film for Runway’s AIFF (2023)

* Others

* Is Beauty Culture Hurting Us? from Glad You Asked (2020)

* Joss’s Scientific American videos :)


Get full access to The Gradient at thegradientpub.substack.com/subscribe
  continue reading

129 episodes

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