Technology research for neurodivergent conditions is largely shaped by research aims
which privilege neuro-normative outcomes. As such, there is an epistemic imbalance in …

Powered by machine learning (" ML") techniques, computer vision systems and related,
novel artificial intelligence (" Al"), technologies are ushering in a new era of computational …

The marginalization of autistic people in our society today is multi-faceted as it includes
violence that is both physical and ideological in nature. It is rooted in the dehumanization …

Technologies that deploy data science methods are liable to result in epistemic harms
involving the diminution of individuals with respect to their standing as knowers or their …

Efforts to address algorithmic harms have gathered particular steam over the last few years.
One area of proposed opportunity is the notion of an “algorithmic audit,” specifically an …

With the recent rapid rise in Generative Artificial Intelligence (GAI) tools, it is imperative that
we understand their impact on people with disabilities, both positive and negative. However …

AI for social good is a thriving research topic and a frequently declared goal of AI strategies
and regulation. This article investigates the requirements necessary in order for AI to actually …

This article uncovers how computers learned to recognize emotion from a neurological
difference often conceived of as marked by a difficulty in recognizing it at all: autism …

The increasing deployment of artificial intelligence (AI) tools to inform decision making
across diverse areas including healthcare, employment, social benefits, and government …

This theoretical essay builds on existing literature to draw out the consequences of
dehumanizing and disseminating autism discourses within the field of human-computer …