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. She founded and directs the Social Dynamics and Wellbeing Lab that seeks to develop technologies for improving our mental well-being.   Neha is an Associate Professor at Georgia Tech and leads the Technology and Design for Empowerment lab with a focus on the intersection of human-centered computing and global development.    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 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?    In this episode, we interview Jaime Snyder about the data visualization of COVID, mental health, and more.    Jaime Snyder is an Associate Professor in the Information School at the University of Washington in Seattle. She leads the Visualization Studies Research Studio and is also an Adjunct Associate Professor in the UW Department of Human-Centered Design and Engineering. Snyder’s research draws on her background as an artist and information science scholar to explore the creation and use of visual representations of information, data, and knowledge in collaborative and coordinated contexts.   Full show notes for this episode can be found at Radicalai.org.  

What is the history of digital pornography? How do algorithms perpetuate LGBTQIA+ content censorship? What is the role that content moderation and corporate ownership plays in perpetuating misogyny and heteronormativity?   In this episode, we interview Alex Monea about the history of digital pornography and LGBTQIA+ content censorship. We also discuss his new book published by MIT Press: "The Digital Closet: How the Internet Became Straight"   Alexander Monea is Assistant Professor in the English Department and Cultural Studies PhD Program at George Mason University. He researches data ethics and the intersection between computation and marginalization.   Full show notes for this episode can be found at Radicalai.org.  

Curious about where we've been and where we're going? Listen to this minisode! Dylan and Jess discuss the podcast, the new season, and much more!  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  

In this 7th episode of Measurementality we'll be "identifying what counts in the algorithmic age" by exploring how AI development can better engage with governance and privacy with Sara Jordan and Anand Rao Sara Jordan is Senior Researcher, Artificial Intelligence and Ethics at the Future of Privacy Forum Anand Rao is a Principal with PwC’s US Advisory practice

What is Decolonial AI? How can we apply a postcolonial lens to AI design? In this episode we interview Raziye Buse Çetin about Colonial, Decolonial, and Postcolonial AI -- and the Newly released Decolonial AI Manyfesto. 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.  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 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. Sasha is the Director of Research & Design at the Algorithmic Justice League and is the author of Design Justice: Community-Led Practices to Build the Worlds We Need. 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 causes AI to fail from a business/industry perspective and beyond? What metrics are used to measure and indicate failure? And how can we improve the field of AI by learning from these failures?  To answer these questions we interview Kathleen Walch and Ron Schmelzer of Cognilytica’s AI Today podcast. Ron and Kathleen are both principal analysts, managing partners and founders of Cognilytica. Cognilytica is a research, advisory, and education firm focused on advanced big data analytics, cognitive technologies, and evolving areas of Artificial Intelligence and machine learning.  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

In this 6th episode of Measurementality we'll be "identifying what counts in the algorithmic age" by analyzing how we can build more authentic systems of accountability for creating AI with Yoav Schlesinger. Yoav Schlesinger is the Principal of Ethical AI Practice for Salesforce.  

How is AI used to predict mental illness? What are the benefits and challenges to its use? In this episode we interview Stevie Chancellor about AI, mental health, and the benefits and challenges of machine learning systems that are used to predict mental illness.  Stevie Chancellor is an Assistant Professor in the Department of Computer Science & Engineering at the University of Minnesota - Twin Cities. Her research combines human-computer interaction and machine learning approaches to build and critically evaluate machine learning systems for pressing social issues, focusing on high-risk health behaviors in online communities. 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