Home
Categories
EXPLORE
True Crime
Comedy
Society & Culture
Business
Sports
History
Music
About Us
Contact Us
Copyright
© 2024 PodJoint
00:00 / 00:00
Sign in

or

Don't have an account?
Sign up
Forgot password
https://is1-ssl.mzstatic.com/image/thumb/Podcasts221/v4/d5/23/2a/d5232a05-9087-ed9b-7c68-fb1030fde4e9/mza_10673184489660023862.jpg/600x600bb.jpg
Restless Grounds
Slow AI
3 episodes
4 days ago
This series is part of the Slow AI project, a collaborative research initiative that emerged from a growing discomfort with the ways artificial intelligence is transforming our world and how quickly it is being developed and implemented, while its extractive, colonial histories remain largely unacknowledged.

From image generation and chatbots to facial recognition and predictive policing, AI systems are shaping what we see, how we remember, how we make decisions, and eventually who we become.


Rather than trying to fix or limit these technologies, Slow AI asks how we might relate to them differently. It is not a technical solution, but a shift in orientation: toward care, collectivity, and refusal.


Each episode features a conversation from our research group, comprising artists, writers, and researchers working at the intersection of theory and practice. These conversations emerge from our Material Playgrounds: experimental sessions that explored algorithmic technologies through artistic research, speculation, and collaborative inquiry.Messy, curious, and sometimes unresolved, this podcast invites you to imagine these technologies otherwise.


This podcast is part of the Slow AI project, initiated by Mariana Fernández Mora and supported by the Visual Methodologies Collective (AUAS), the Algorithmic Cultures Research Group (Sandberg Institute), ARIAS Amsterdam, and funded by the Centre of Expertise Creative Innovation (CoECI).
Show more...
Society & Culture
RSS
All content for Restless Grounds is the property of Slow AI and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
This series is part of the Slow AI project, a collaborative research initiative that emerged from a growing discomfort with the ways artificial intelligence is transforming our world and how quickly it is being developed and implemented, while its extractive, colonial histories remain largely unacknowledged.

From image generation and chatbots to facial recognition and predictive policing, AI systems are shaping what we see, how we remember, how we make decisions, and eventually who we become.


Rather than trying to fix or limit these technologies, Slow AI asks how we might relate to them differently. It is not a technical solution, but a shift in orientation: toward care, collectivity, and refusal.


Each episode features a conversation from our research group, comprising artists, writers, and researchers working at the intersection of theory and practice. These conversations emerge from our Material Playgrounds: experimental sessions that explored algorithmic technologies through artistic research, speculation, and collaborative inquiry.Messy, curious, and sometimes unresolved, this podcast invites you to imagine these technologies otherwise.


This podcast is part of the Slow AI project, initiated by Mariana Fernández Mora and supported by the Visual Methodologies Collective (AUAS), the Algorithmic Cultures Research Group (Sandberg Institute), ARIAS Amsterdam, and funded by the Centre of Expertise Creative Innovation (CoECI).
Show more...
Society & Culture
https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/e0be476f9917eb2b18e74f7bf96d69fb.jpg
Translating Worlds, Dreaming Non-Capitalist Futures, and the Counter Human
Restless Grounds
57 minutes
1 month ago
Translating Worlds, Dreaming Non-Capitalist Futures, and the Counter Human
In this episode of Restless Grounds, host Mariana Fernández Mora is joined by Andy Dockett, Carlo De Gaetano, and Zachary Formwalt to reflect on what it means to consider yourself a storyteller, the importance of imagining alternative futures, finding joy and opening up new narratives that resist capitalism. Together, they explored the role of storytelling and imagination as resistance within the context of algorithmic systems and their entangled ecologies. From narrative as a site of refusal to the politics of speculative world-building, the conversation considers how creative and collective imaginaries offer tools for resisting extractive technological logics.Soundscapes in this episode were created by artist and researcher Angelo Custódio during the Slow AI Material Playground “Everything Evaporates.”
Restless Grounds
This series is part of the Slow AI project, a collaborative research initiative that emerged from a growing discomfort with the ways artificial intelligence is transforming our world and how quickly it is being developed and implemented, while its extractive, colonial histories remain largely unacknowledged.

From image generation and chatbots to facial recognition and predictive policing, AI systems are shaping what we see, how we remember, how we make decisions, and eventually who we become.


Rather than trying to fix or limit these technologies, Slow AI asks how we might relate to them differently. It is not a technical solution, but a shift in orientation: toward care, collectivity, and refusal.


Each episode features a conversation from our research group, comprising artists, writers, and researchers working at the intersection of theory and practice. These conversations emerge from our Material Playgrounds: experimental sessions that explored algorithmic technologies through artistic research, speculation, and collaborative inquiry.Messy, curious, and sometimes unresolved, this podcast invites you to imagine these technologies otherwise.


This podcast is part of the Slow AI project, initiated by Mariana Fernández Mora and supported by the Visual Methodologies Collective (AUAS), the Algorithmic Cultures Research Group (Sandberg Institute), ARIAS Amsterdam, and funded by the Centre of Expertise Creative Innovation (CoECI).