Radical People.
Radical Ideas.
Radical Stories.
The Future of AI Ethics.
What is Radical AI?
Our Mission
To center radical ideas in a world transformed by technology through engaging, collaborative, and accessible media. Using dialogue and storytelling we seek to probe and advance the field of Artificial Intelligence Ethics.
Our Vision
The future of Artificial Intelligence Ethics becoming fundamentally representative of a diversity of stories, voices, and ideas that are accessible, bold, and transformative for all individuals and communities that use, design, and engage with AI technology.
What does Radical mean?
We’re on a mission to find out.
People
under-represented, controversial, bold, unheard, different, authentic, change-makers, passionate
Ideas
bias, justice, fairness, liberation, transparency, accountability, equality, amongst many others
Stories
events, actions taken, movements started, struggle, against the status quo, personal narratives
The Radical AI Podcast Co-Hosts
Dylan Doyle-Burke
Dylan Thomas Doyle is an Information Science PhD student at the University of Colorado Boulder advised by Dr. Jed Brubaker. His research explores the intersection between death, grief and technology design and investigates how online platforms and communities might better embed values of radical empathy and sustain holistic systems of support for their users. Dylan received his BA in Sociology from Sarah Lawrence College and his Masters of Divinity from Union Theological Seminary at Columbia University with a focus in Psychology. He is the author of The Garage? Just Torch It and several other collections of poetry, and an ordained Unitarian Universalist Minister and Hospital Chaplain.
Follow Dylan on Twitter @dylandoyleburke
Jessie J. Smith (Jess)
Jessie J. Smith (Jess) is a fifth year PhD candidate in the Department of Information Science at the University of Colorado Boulder. Jess received her bachelor's degree in software engineering from Cal Poly SLO. Her PhD research focuses on AI ethics, machine learning fairness and bias, and incorporating ethical speculation in the computer science classroom. Jess' dissertation focuses on operationalizing fairness for industry machine learning ecosystems, with special focus on quantitatively measuring the unobservable experience of fairness. Jess loves to engage in public scholarship about her research to encourage transparency and interdisciplinary dialogue about the unintended consequences of technology.
Follow Jess on Twitter @_jessiejsmith_
Radical AI Spring 2021 Interns
Nikhil Dharmaraj
Nikhil is a sophomore at Harvard College, earning a joint Bachelor’s in History & Literature (Modern World Track) and Computer Science, with a secondary degree in South Asian Studies. His intellectual interests lie in thinking about what it means to build decolonial artificial intelligence; what we can do to repatriate technological power into the hands of those most marginalized by surveillance systems; and how we can create radical tools to bring about more revolutionary futures.
Follow Nikhil on Twitter @nikdharmaraj
Lena Wang
Lena holds a combined Bachelors of Arts (Honours)/Science (Advanced) from the University of Sydney, with majors in computer science, physics, and philosophy. She is interested in the systemic social consequences of technology developed in a capitalist and colonialist context. In particular, she is concerned with the raced effects of algorithmic bias in carceral technology, the embedding of military purposes in computer vision projects, and the alienation of tech workers from their labour.
Follow Lena on Twitter @lenayiwang