Is our AI system inclusive and accessible?

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Transparency & Accessibility Category
Design PhaseInput PhaseOutput PhaseDeploy PhaseMonitor Phase
Is our AI system inclusive and accessible?
  • AI systems must be designed to be accessible and inclusive, particularly for individuals who may face barriers due to age, disability, or other vulnerabilities.
  • Think, for instance, of elderly people, children, or people with disabilities or individuals with cognitive impairments. Does the system support assistive technologies (e.g., screen readers)? Are there text alternatives, simplified navigation, or options for non-standard input and output formats?
  • Accessibility also includes cognitive accessibility: does the system assume a certain level of AI literacy or digital fluency that may not be present in all users? Are users supported with clear explanations, educational materials, or onboarding tools?
  • Inaccessible AI can lead to exclusion, discrimination, reduced autonomy, or even harm, violating fundamental rights under the Charter of Fundamental Rights of the EU (Articles 21: Non-discrimination, 24: Rights of the child, and 26: Integration of persons with disabilities).
  • The AI Act (Article 4) also highlights the need for systems to be inclusive and safe by design.

If you answered No then you are at risk

If you are not sure, then you might be at risk too

Recommendations

  • Conduct an impact assessment focusing on accessibility and vulnerability.
  • Involve affected groups and advocacy organizations in the design and testing phase.
  • Design interfaces that comply with Web Content Accessibility Guidelines (WCAG) and ensure compatibility with assistive technologies.
  • Avoid manipulative patterns (e.g., dark patterns) that exploit reduced digital literacy or cognitive overload.
  • Document accessibility limitations in model/system cards and ensure clear communication to users and caregivers.
  • Ensure age-appropriate design and protections for children, including safe defaults and data minimization.