This paper reframes motivation as a context-sensitive appraisal of whether effort can realistically lead to progress, given the room to move and the flexibility of available pathways. Neurodivergence reveals how structural constraints shape engagement, persistence, and withdrawal.
This paper examines how current AI systems reproduce communication hierarchies that marginalize minimal/nonspeaking autistic users, and argues for a shift toward dignity-centered design. It outlines principles for AI that expand voice and agency rather than merely optimizing efficiency.
Thank you all
Hari Srinivasan
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Vanderbilt University: PhD Candidate Neuroscience, UC Berkeley BA Psychology & Disability Studies
Academic Affiliations: : Prof Mark Wallace's Multisensory Research Lab,, The First Center for Autism & Innovation, Vanderbilt Brain Institute
Awards/Honors: NSF Graduate Research Fellowship, PD Soros Fellow, NISE Fellow @ Frist Center for Autism & Innovation, Public Voices Fellow @ Op-Ed Project, UC Berkeley (University Medal Finalist., Highest Distinction, Psychology Departmental Citation Award, Phi Beta Kappa, Psi Chi, Haas Scholar)
Journalism: Time, Newsweek, Fortune, Boston Globe, Psychology Today, The Daily Californian,
Youtube @neuroscientist108