Where is the limit in the use of technology to solve societal problems? How can Social Work utilize AI to address social injustice? To answer these questions and more we welcome Dr. Eric Rice to the show. 

Eric is an associate professor and the founding co-director of the USC Center for Artificial Intelligence in Society, a joint venture of the USC Suzanne Dworak-Peck School of Social Work and the USC Viterbi School of Engineering. Rice received a BA from the University of Chicago, and an MA and PhD in Sociology from Stanford University. Eric’s research focuses on community outreach, network science, and the use of social networking technology by high-risk youth.

Full show notes for this episode can be found at Radicalai.org. 

If you enjoy this episode please make sure to subscribe, submit a rating and review, and connect with us on twitter at twitter.com/radicalaipod

What is AI for Social Good? 

In this special bonus panel episode on AI for Social Good 101, we interviewed Dr. Anamika Barman-Adhikari, Dr. Fei Fang, and Dr. Amulya Yadav.  

Anamika Barman-Adhikari is an Associate Professor of social work at the University of Denver. She received her Ph.D. in Social Work from University of Southern California.

Fei Fang is an Assistant Professor at the Institute for Software Research in the School of Computer Science at Carnegie Mellon University. Before joining CMU, she was a Postdoctoral Fellow at the Center for Research on Computation and Society (CRCS) at Harvard University.

Amulya Yadav is an Assistant Professor in the College of Information Sciences and Technology at Penn State University. He is also an affiliate faculty appointment at the Center for Artificial Intelligence in Society at USC.

Full show notes for this episode can be found at Radicalai.org. 

If you enjoy this episode please make sure to subscribe, submit a rating and review, and connect with us on twitter at twitter.com/radicalaipod

What is IEEE and what is their “ethically aligned design” initiative? How can positive visions for the future help us create better technology? What do kindness and wellbeing have to do with AI Ethics?

To answer these questions and more we welcome John C. Havens to the show. 

John is the current Executive Director of the Global Initiative on Ethics of Autonomous and Intelligent Systems at The Institute of Electrical and Electronics Engineers (IEEE). He is a contributing writer for Mashable, The Guardian, and The Huffington Post. John is the author of Heartificial Intelligence: Embracing Our Humanity to Maximize Machines, among others. 

Full show notes for this episode can be found at Radicalai.org. 

If you enjoy this episode please make sure to subscribe, submit a rating and review, and connect with us on twitter at twitter.com/radicalaipod

How can we reduce data discrimination & algorithmic bias that perpetuate gender and racial inequalities?

In partnership with All Tech is Human we present this Livestreamed conversation featuring Safiya Noble (Associate Professor at the University of California, Los Angeles (UCLA) in the Department of Information Studies and author of Algorithms of Oppression: How Search Engines Reinforce Racism) and

Meredith Broussard (Associate Professor at the Arthur L. Carter Journalism Institute of New York University and the author of Artificial Unintelligence: How Computers Misunderstand the World). 

This conversation is moderated by All Tech Is Human's David Ryan Polgar. The organizational partner for the event is TheBridge.

The conversation does not stop here! For each of the episodes in our series with All Tech is Human, you can find a detailed “continue the conversation” page on our website radicalai.org. For each episode we will include all of the action items we just debriefed as well as annotated resources that were mentioned by the guest speakers during the livestream, ways to get involved, relevant podcast episodes, books, and other publications. 

In what way does technology make us more or less visible to each other? What is Ghost Work and how might it impact the future of work? How can AI Ethicists relate more intimately with compassion? To answer these questions and more we welcome Dr. Mary L. Gray to the show. 

Dr. Mary L. Gray is a Senior Principal Researcher at Microsoft Research and Faculty Associate at Harvard University’s Berkman Klein Center for Internet and Society. Along with her research, Mary teaches at Indiana University, maintaining an appointment as an Associate Professor of the Media School, with affiliations in American Studies, Anthropology, and Gender Studies. She is also the co-author, with Siddharth Suri, of Ghost Work: How to Stop Silicon Valley from Building a New Global Underclass. Mary is an anthropologist and media scholar by training, and focuses on how everyday uses of technologies transform people’s lives.

Full show notes for this episode can be found at Radicalai.org. 

If you enjoy this episode please make sure to subscribe, submit a rating and review, and connect with us on twitter at twitter.com/radicalaipod

Happy Three Months of the Radical AI Podcast! In this minisode we share the compiled advice given from our guests over our first 18 interviews, celebrate the Radical AI Community, and give thanks for the journey thus far. 

Thank you so much for your support! 

As always, show notes can be found on radicalai.org - along with a written blogpost with extended quotes of advice taken from our conversations with our guests. 

In this episode we interview the interdisciplinary research team of Calvin Liang, Jevan Hutson, and Os Keyes around the motivation and research behind their paper: "Surveillance, Stigma & Sociotechnical Design for HIV". This paper analyzes the approaches that 49 online dating and hookup platforms have taken when designing for HIV disclosure. Calvin, Jevan, and Os point to bottom-up, communal, and queer approaches for design as a way of potentially making the tension between disclosure and risk easier to safely navigate. Their paper will be published in First Monday's Special Issue on HIV/AIDS and Digital Media in the Fall.

Calvin and Os are PhD students in Human-Centered Design and Engineering at the University of Washington. 

Jevan is a data justice advocate, human-computer interaction researcher, and recent graduate of the University of Washington School of Law. 

Full show notes for this episode can be found at Radicalai.org. 

If you enjoy this episode please make sure to subscribe, submit a rating and review, and connect with us on twitter at twitter.com/radicalaipod

How can we ensure that our technological systems do not reproduce existing inequalities?

In partnership with All Tech is Human we present this Livestreamed conversation featuring Mutale Nkonde (CEO of AI for the People & fellow at the Digital Society Lab at Stanford) & Charlton McIlwain (author of Black Software: The Internet & Racial Justice, From the AfroNet to Black Lives Matter, as well as Vice Provost for Faculty Engagement and Development at NYU). 

This conversation is moderated by All Tech Is Human's David Ryan Polgar. The organizational partner for the event is TheBridge.

The conversation does not stop here! For each of the episodes in our series with All Tech is Human, you can find a detailed “continue the conversation” page on our website radicalai.org. For each episode we will include all of the action items we just debriefed as well as annotated resources that were mentioned by the guest speakers during the livestream, ways to get involved, relevant podcast episodes, books, and other publications. 

How can Science Fiction be used to get the public involved in the AI Ethics conversation? What are religious studies and how can they relate to AI? Why is it important to distinguish between Science Fiction and Science Fact when it comes to the future of AI?

To answer these questions and more we welcome Dr. Beth Singler to the show. 

Dr. Beth Singler is a Junior Research Fellow in Artificial Intelligence at the University of Cambridge. Previously, Beth was the post-doctoral Research Associate on the “Human Identity in an age of Nearly-Human Machines” project at the Faraday Institute for Science and Religion. Through her research, Beth explores the social, ethical, philosophical, and religious implications of advances in Artificial Intelligence and robotics.

Full show notes for this episode can be found at Radicalai.org. 

If you enjoy this episode please make sure to subscribe, submit a rating and review, and connect with us on twitter at twitter.com/radicalaipod

What are the societal impacts and ethics of Natural Language Processing (or NLP)? How can language be a form of power? How can we effectively teach ethics in the NLP classroom? How can we promote healthy interdisciplinary collaboration in the development of NLP products?

To answer these questions and more we welcome Dr. Emily M. Bender to the show.

Dr. Emily M. Bender researches linguistics, computational linguistics, and ethical issues in Natural Language Processing.  Emily is currently a Professor in the Department of Linguistics and an Adjunct Professor in the Department of Computer Science and Engineering at the University of Washington. She is also the faculty director of the CLMS program and the director of the Computational Linguistics Laboratory.

Full show notes for this episode can be found at Radicalai.org. 

If you enjoy this episode please make sure to subscribe, submit a rating and review, and connect with us on twitter at twitter.com/radicalaipod