1. Inclusivity: Design AI systems to serve the diverse needs of all users, including those with disabilities.
2. Transparency: Ensure AI operations and decision-making processes are clear and understandable.
3. Ethical Data Use: Handle user data with care, ensuring privacy and ethical use.
4. User-Centered Design: Prioritize the dignity, rights, and welfare of users, with continuous incorporation of user feedback.
5. Agility in Accessibility: Integrate accessibility into every phase of the agile development process.
6. Continuous Improvement: Regularly update AI systems based on technological advancements and user feedback.

– Engage diverse stakeholders throughout AI development.
– Implement built-in accessibility features catering to a wide range of abilities.

– Conduct regular testing with diverse groups, including those with visual, auditory, cognitive, and motor impairments.
– Use standardized methods for evaluating AI accessibility, including automated tools and human-centered testing.

– Implement feedback mechanisms for users to report accessibility issues and suggest improvements.
– Continuously refine AI systems based on user feedback.

– Ensure AI products adhere to national and international accessibility laws, as well as the most recent version of the WCAE as a base.
– Enforce strict rules on the ethical use of data, respecting the privacy of persons.
– Implement end-to-end encryption and secure data storage practices.
– Provide clear documentation of AI model operations, including decision-making processes.
– Ensure users can understand AI decisions.

– Integrate accessibility from the start of AI development.
– Train development teams on the importance of accessibility.

– Use standardized methods for evaluating AI accessibility, including automated tools and human-centered testing.
– Conduct regular audits to ensure compliance with data governance policies.

– Regularly update AI systems to improve accessibility based on technological advancements and user feedback.
– Ensure successful recovery from simulated attacks without loss of data or service disruption.

1. Epsilon (Ε) – Low:
– Minimal or no adherence to the AAIQ framework.
– Significant gaps in integrating accessibility features.
– Lack of compliance with accessibility laws.
– Poor data privacy practices and lack of transparency.
– Inadequate testing and evaluation for accessibility.
– No regular updates or maintenance to address accessibility issues.
– Limited or no engagement with diverse stakeholders.
– Engagement: Less than 20%

2. Delta (Δ) – Below Average:
– Partial compliance with the AAIQ framework.
– Some accessibility features implemented, but with noticeable deficiencies.
– Inconsistent adherence to accessibility laws.
– Basic data privacy measures in place, but lacking in robustness.
– Occasional testing and evaluation for accessibility, but not comprehensive.
– Irregular updates and maintenance to address accessibility issues.
– Some engagement with diverse stakeholders, but not throughout all development phases.
– Engagement: 20-39%

3. Gamma (Γ) – Average:
– Satisfactory compliance with the AAIQ framework.
– Standard accessibility features implemented.
– Consistent adherence to accessibility laws.
– Adequate data privacy measures in place.
– Regular testing and evaluation for accessibility.
– Regular updates and maintenance to address accessibility issues.
– Engagement with diverse stakeholders throughout most development phases.
– Engagement: 40-59%

4. Beta (Β) – Above Average:
– Exceeds average expectations in compliance with the AAIQ framework.
– Comprehensive and effective accessibility features implemented.
– Strong adherence to accessibility laws.
– Robust data privacy and ethical practices in place.
– Thorough and frequent testing and evaluation for accessibility.
– Proactive updates and maintenance to continuously improve accessibility.
– Active engagement with diverse stakeholders throughout all development phases.
– Engagement: 60-79%

5. Alpha (Α) – High:
– Full compliance with the AAIQ framework with excellent performance.
– Exceptional accessibility features that cater to all user needs.
– Exemplary adherence to accessibility laws.
– Outstanding data privacy and ethical practices.
– Comprehensive, continuous testing and evaluation for accessibility.
– Regular, proactive updates and maintenance for optimal accessibility.
– Deep and continuous engagement with diverse stakeholders throughout all development phases, ensuring their needs are fully met.
– Engagement: 80-100%