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This seminar pairs a case study of AI diffusion with an organizational approach to technological changes in the workplace.
This seminar pairs a case study of AI diffusion with an organizational approach to technological changes in the workplace.
As AI moves beyond language into systems that can perceive, understand, and act in the physical world, a new frontier is emerging: world models—AI systems that build and maintain working representations of real environments to predict how they change in response to action.
As AI moves beyond language into systems that can perceive, understand, and act in the physical world, a new frontier is emerging: world models—AI systems that build and maintain working representations of real environments to predict how they change in response to action.
Save the Date. Artificial intelligence is transforming how researchers collect, analyze, and learn from data. As AI systems become increasingly integrated into scientific discovery, business decision-making, and policy analysis, they are reshaping both the questions researchers can ask and the methods they use to answer them.
Save the Date. Artificial intelligence is transforming how researchers collect, analyze, and learn from data. As AI systems become increasingly integrated into scientific discovery, business decision-making, and policy analysis, they are reshaping both the questions researchers can ask and the methods they use to answer them.
HAI Weekly Seminar
In this talk, Lindsey D. Felt introduces a framework that locates disability innovation, artistry, and crip politics as central to the development of AI and technology. From M Eifler’s Prosthetic Memory to Paola Prestini’s Sensorium Ex, these examples of AI art highlight the erasures of disability from training data and refuse AI’s optimization against disability. Historically, technologies have been designed to diagnose, rehabilitate, normalize, and even cure disabilities. Though this approach has arguably improved the quality of life for many disabled people, it codes disability as an “undesirable” and “outlier” trait, operating on the false premise of a “norm” that is not reflective of the human condition’s heterogeneity. Researchers have demonstrated how machine learning tools are mirroring this trajectory, from autonomous vehicles that don’t recognize wheelchair users, to Natural Language Processing models that classify texts mentioning disability as more “toxic.” These biases are equally important to consider alongside racial and gender inequities for their wide-ranging social implications.
In conversation with artist-technologist M Eifler, Felt discusses approaches to human-centered AI art that are designed for self-care, mutual aid, and social justice-informed world-building. Felt and Eifler consider Prosthetic Memory, a digital memory bank created by Eifler that uses machine learning to retrieve self-recorded videos for the artist to navigate their memory dysregulation. Sensorium Ex, an experimental AI opera that introduces a new composite voice from an algorithm trained on non-normative speech patterns, similarly models the possibilities for a non-ableist AI. These works reflect the yearning for what scholar Alison Kafer calls “crip futurity,” a future where disabled people’s experiences, practices, stories, and ways of knowing are valued.
Lindsey FeltLeonardo CripTech Incubator Co-founder and Co-director; Lecturer in Program in Writing and Rhetoric, Stanford University
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