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 radical ai


Radical AI podcast: featuring Shion Guha

AIHub

Hosted by Dylan Doyle-Burke and Jessie J Smith, Radical AI is a podcast featuring the voices of the future in the field of artificial intelligence ethics. In this episode Jess and Dylan chat to Shion Guha about the government and AI. How does the government use algorithms? How do algorithms impact social services, policing, and other social services? And where does Silicon Valley fit in?


Radical AI podcast: featuring Sachin Pendse, Munmun De Choudhury and Neha Kumar

AIHub

Hosted by Dylan Doyle-Burke and Jessie J Smith, Radical AI is a podcast featuring the voices of the future in the field of artificial intelligence ethics. In this episode Jess and Dylan chat to Sachin Pendse, Munmun De Choudhury, and Neha Kumar about visualizing our lives through data. In this episode we have a panel discussion about decolonial digital mental health with three leading experts on the topic: Sachin Pendse, Munmun De Choudhury, and Neha Kumar. Sachin is a PhD student in Human-Centered Computing at Georgia Tech, researching the role that technology plays in addressing barriers that prevent people from receiving consistent mental health care. Munmun is the Associate Professor in the School of Interactive Computing at Georgia Tech.


Radical AI podcast: featuring Jaime Snyder

AIHub

Hosted by Dylan Doyle-Burke and Jessie J Smith, Radical AI is a podcast featuring the voices of the future in the field of artificial intelligence ethics. In this episode Jess and Dylan chat to about visualizing our lives through data. How do we see ourselves in data? What is self-tracking and how can we design for visualizing the data of our bodies and mental health? How do we make visualized data more accessible?


Radical AI podcast: featuring Raziye Buse Çetin

AIHub

Hosted by Dylan Doyle-Burke and Jessie J Smith, Radical AI is a podcast featuring the voices of the future in the field of artificial intelligence ethics. What is Decolonial AI? How can we apply a postcolonial lens to AI design? Buse is an AI policy and ethics researcher and consultant. Her work revolves around ethics, impact, and governance of AI systems. She combines her lived experience with her interest in postcolonial studies, intersectional feminism and science and technology studies (STS) to develop critical thinking about AI technologies and narratives around it.


Radical AI podcast: featuring Sasha Costanza-Chock

AIHub

Hosted by Dylan Doyle-Burke and Jessie J Smith, Radical AI is a podcast featuring the voices of the future in the field of artificial intelligence ethics. In this episode Jess and Dylan chat to Sasha Costanza-Chock about design justice. How can we employ it to disrupt power systems supporting the matrix of domination? In this episode, we interview Sasha Costanza-Chock about the 101 of design justice and how we can use it as a force for collective liberation. Sasha Costanza-Chock is a researcher and designer who works to support community-led processes that build shared power, dismantle the matrix of domination, and advance ecological survival.


Radical AI podcast: featuring Jason Edward Lewis

AIHub

Hosted by Dylan Doyle-Burke and Jessie J Smith, Radical AI is a podcast featuring the voices of the future in the field of artificial intelligence ethics. In this episode Jess and Dylan chat to Jason Edward Lewis Indigenous AI. What is Indigenous AI and how might it drive our technology design and implementation? To answer this question and more in this episode we interview Jason Edward Lewis about Indigenous AI Protocols and a paper he co-authored entitled "Position Paper on Indigenous Protocol and Artificial Intelligence." Jason Edward Lewis is a Hawaiian and Samoan digital media theorist, poet, and software designer.


Radical AI podcast: featuring Divya Siddarth

AIHub

Hosted by Dylan Doyle-Burke and Jessie J Smith, Radical AI is a podcast featuring the voices of the future in the field of artificial intelligence ethics. In this episode Jess and Dylan chat to Divya Siddarth about decentralizing AI. What is decentralized AI and how and why should we design and implement it? To answer this question and more in this episode we interview Divya Siddarth about decentralizing AI, democratization, and how we can utilize the logic of social movements to influence our technology design. Divya Siddarth is a Political Economist and Social Technologist at the Microsoft Office of the CTO working to understand, preserve, and extend democracy through technological progress and innovation.


Radical AI podcast: featuring Cynthia Bennett

AIHub

Hosted by Dylan Doyle-Burke and Jessie J Smith, Radical AI is a podcast featuring the voices of the future in the field of artificial intelligence ethics. In this episode Jess and Dylan chat to Cynthia Bennett about design, disability, creativity, and accessibility. How can we centre the lived experiences and creativity of people with disabilities in the design of our technology? Cynthia Bennett is a postdoctoral researcher at Carnegie Mellon University's Human-Computer Interaction Institute. Her research focuses on the intersection of power, disability, design, and accessibility.


Radical AI podcast: featuring Kate Crawford

AIHub

Hosted by Dylan Doyle-Burke and Jessie J Smith, Radical AI is a podcast featuring the voices of the future in the field of artificial intelligence ethics. In this episode Jess and Dylan chat to Kate Crawford about the Atlas of AI. What is the Atlas of AI? How is AI an industry of extraction? How is AI impacting the planet? To answer these questions and more we welcome to the show Dr Kate Crawford to discuss Kate's new book Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence.


Radical AI podcast: featuring Su Lin Blodgett

AIHub

Hosted by Dylan Doyle-Burke and Jessie J Smith, Radical AI is a podcast featuring the voices of the future in the field of artificial intelligence ethics. In this episode Jess and Dylan chat to Su Lin Blodgett about defining bias. How do we define bias? Is all bias the same? Is it possible to eliminate bias completely in our AI systems?