<p>Author of ‘Design for Safety’ Eva PenzeyMoog talks designing digital products with the most vulnerable users in mind; and Jeannie Marie Paterson, Professor of Law at the Melbourne Law School, addresses Tik-Tok’s controversial attempt to harvest and use the biometric data of their users. With presenters Vanessa Toholka, Dan Salmon, Paul Callaghan, and Laura Summers. </p>

Author of ‘Design for Safety’ Eva PenzeyMoog talks designing digital products with the most vulnerable users in mind; and Jeannie Marie Paterson, Professor of Law at the Melbourne Law School, addresses Tik-Tok’s controversial attempt to harvest and use the biometric data of their users. With presenters Vanessa Toholka, Dan Salmon, Paul Callaghan, and Laura Summers.

Designing for Digital Safety & Tik-Tok’s Data Harvest

Local insights on tech news, with feature interviews and regular guests. From multinational megacorps to the web underground, digital rights, games, cutting edge research, and all the ways technology intersects with everyday life.

The Byte Into IT family includes:
- Dan Morganti
- Dan Salmon 
- Eric Jong
- Lilly Ryan
- Mike Bantick
- Rowena Murray (Byte Producer)
- Vanessa Toholka (Byte Producer)
- Lu Lin (RRR Talks Content Producer)

The intro and outro theme is Soft Illusion and was generously provided by Andras.
https://andras.bandcamp.com/track/soft-illusion

Technology

Local insights on tech news, with feature interviews and regular guests. From multinational megacorps to the web underground, digital rights, games, cutting edge research, and all the ways technology intersects with everyday life. The Byte Into IT family includes: - Dan Morganti - Dan Salmon - Eric Jong - Lilly Ryan - Mike Bantick - Rowena Murray (Byte Producer) - Vanessa Toholka (Byte Producer) - Lu Lin (RRR Talks Content Producer) The intro and outro theme is Soft Illusion and was generously provided by Andras. https://andras.bandcamp.com/track/soft-illusion

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Designing for Digital Safety & Tik-Tok’s Data Harvest

Designing for Digital Safety & Tik-Tok’s Data Harvest

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