FARGUS: Futures in AI Rights, Governance
& Unmaking Technoableist Systems

FARGUS: Futures, AI, Rights, Governance & Universal Systems

A Research and Foresight Initiative by Nilesh Singit

FARGUS is a forward-looking research and futures platform examining how intelligent systems, automated infrastructures, and emerging technologies shape the lives, rights, and possibilities of disabled people. Founded by disability rights advocate and disability futures thinker Nilesh Singit, FARGUS explores the shifting terrain where disability intersects with artificial intelligence, data-driven governance, and the accelerating pace of technological change.

As accessibility becomes a baseline expectation in contemporary digital environments, new and more complex forms of exclusion are beginning to take shape. These exclusions emerge not from ramps, formats or assistive devices alone, but from datasets, algorithms, predictive systems, and automated decision-making architectures that structure opportunity, visibility, classification, and risk. FARGUS is dedicated to examining these structural transformations: the rise of technoableism, the reproduction of bias in machine learning, the erasure of disability in data infrastructures, and the profound governance challenges posed by AI-mediated societies.

At FARGUS we maintain that disability offers a crucial epistemic lens for understanding how technology distributes power, assigns value, and defines the boundaries of human possibility. Disabled lives reveal, with clarity, the assumptions embedded in design, the harms concealed in automation, and the futures being normalised through code, classification, and computational governance. Through research, critique, collaboration, and thought leadership, FARGUS seeks to re-centre disability within the debates on AI ethics, regulatory frameworks, and the global trajectory of intelligent systems.

Our work encompasses thematic areas such as technoableism, algorithmic bias, disability data poverty, inclusive AI governance, labour futures for disabled people, robotics and autonomous systems, and digital public infrastructure. We investigate how emerging technologies reshape citizenship, participation, autonomy and justice, and we explore how alternative futures may be built that resist reduction, misclassification, and predictive harm.

FARGUS also hosts The Bias Pipeline, a flagship research stream tracing how disability bias is produced, systematised and amplified across the entire AI lifecycle—from data collection to model training, deployment and governance. This initiative seeks to illuminate the hidden flows of exclusion that animate contemporary intelligent systems, and to generate new intellectual, ethical and regulatory frameworks that challenge these inequities.

Our work is grounded in disability studies, informed by critical technology scholarship, and shaped by the lived experience and professional trajectory of Nilesh Singit. Through writing, policy engagement, public dialogue, and collaborations with research institutions, technology companies and civil society, FARGUS aims to establish disability as central—not peripheral—to the future of AI and global technological governance.

FARGUS is both an inquiry and an invitation: to imagine, contest, and construct futures in which disabled people are not merely accommodated, but recognised as essential voices, innovators and epistemic partners in shaping the societies to come.