
Sign up to save your podcasts
Or
Paris Marx is joined by Dhakshayini Sooriyakumaran to discuss Australia’s robodebt scandal where automated decision-making was used against welfare recipients, and how exploitative AI implementations are being deployed by governments in social welfare and at the borders.
Dhakshayini Sooriyakumaran is a proud Tamil person and a PhD candidate at Australian National University whose work focuses on digital identification systems and border policing regimes. Follow Dhakshayini on Twitter as @Dhakshayini_S.
🚨 T-shirts are now available!
Tech Won’t Save Us offers a critical perspective on tech, its worldview, and wider society with the goal of inspiring people to demand better tech and a better world. Follow the podcast (@techwontsaveus) and host Paris Marx (@parismarx) on Twitter, and support the show on Patreon.
Find out more about Harbinger Media Network at harbingermedianetwork.com.
Also mentioned in this episode:
Support the show
4.8
509509 ratings
Paris Marx is joined by Dhakshayini Sooriyakumaran to discuss Australia’s robodebt scandal where automated decision-making was used against welfare recipients, and how exploitative AI implementations are being deployed by governments in social welfare and at the borders.
Dhakshayini Sooriyakumaran is a proud Tamil person and a PhD candidate at Australian National University whose work focuses on digital identification systems and border policing regimes. Follow Dhakshayini on Twitter as @Dhakshayini_S.
🚨 T-shirts are now available!
Tech Won’t Save Us offers a critical perspective on tech, its worldview, and wider society with the goal of inspiring people to demand better tech and a better world. Follow the podcast (@techwontsaveus) and host Paris Marx (@parismarx) on Twitter, and support the show on Patreon.
Find out more about Harbinger Media Network at harbingermedianetwork.com.
Also mentioned in this episode:
Support the show
1,397 Listeners
1,526 Listeners
3,888 Listeners
566 Listeners
154 Listeners
927 Listeners
1,907 Listeners
3,182 Listeners
199 Listeners
260 Listeners
709 Listeners
44 Listeners
315 Listeners
476 Listeners
70 Listeners