Neshise

Resources

A growing reading list from the field.

Papers, books, standards, and references that have shaped how we think about accessibility, AI, and the overlap between the two. Updated as we read.

Foundational reading

  1. Model Cards for Model Reporting

    Mitchell et al., 2019

    The original proposal for documenting machine learning models. Still the right starting place for thinking about disclosure and accountability.

  2. Design Justice

    Sasha Costanza-Chock, 2020

    A grounding in design that begins from the people most affected by the systems we build, not the people building them.

  3. Disability Visibility

    Alice Wong (ed.), 2020

    A collection of first-person essays. Read before assuming you know what 'accessibility' means in any specific context.

Research, current

  1. Accessible Explainable AI: a survey

    arXiv:2407.17484

    On universal design principles for explanation interfaces and the need for non-visual modalities.

  2. Digital accessibility in AI: systematic review

    Frontiers in AI, 2024

    Surveys adherence to accessibility standards across AI systems and the gaps in support for diverse disability needs.

  3. Inclusive Design and AI for People with Disabilities

    DOI 10.3233/SHTI240475

    A study emphasizing user-centered design, inclusive participation, and bias mitigation.

Standards and guidelines

  1. WCAG 2.2

    W3C

    The current Web Content Accessibility Guidelines. Read at least the four principles, then return when implementing.

  2. WAI-ARIA Authoring Practices

    W3C

    Practical patterns for building accessible interactive components without reinventing them.

  3. Plain Language Guidelines

    plainlanguage.gov

    Concrete advice on writing for clarity. Useful for AI product copy, documentation, and model cards.

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