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chore(cms): create "src/collections/risks/en/r7.md"
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src/collections/risks/en/r7.md

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---
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index: R7
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title: Inaccessible AI development and audit tools
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excerpt: Tools used to build and review AI are often inaccessible, limiting the ability of people with disabilities to participate in using and improving these systems.
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risk: The platforms used to build, govern, generate, and audit AI (programming environments, monitoring tools, and evaluation interfaces, etc.) are themselves often inaccessible to developers and auditors with disabilities. This prevents persons with disabilities from participating in the development of AI systems and tools and improving their accessibility.
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mitigation: Compliance with the Web Content Accessibility Guidelines (WCAG) and other accessibility standards should be required for all AI development environments, and accessibility should be funded for major machine-learning toolchains. Developers, auditors, and DPO representatives with disabilities should be a part of the governance structure and compensated for their participation.
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examples:
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education:
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- Tools used to create and manage AI in education may not be accessible to instructional designers with disabilities. This can limit the instructor’s ability to design inclusive course materials or identify accessibility issues, reducing the quality of learning environments.
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employment:
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- Hiring processes for technical roles often use coding tests and development platforms that may not be fully accessible. This can make it harder for developers with disabilities to demonstrate their skills or complete assessments. As a result, fewer individuals with disabilities may be included in AI-related roles.
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healthcare:
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- Tools used to operate or review clinical AI systems, such as dashboards and monitoring platforms, may not be fully accessible. This can make it harder for clinicians with disabilities to use, oversee, or question these systems. As a result, fewer perspectives may shape how the AI is improved or corrected.
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services:
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- Tools used to design, purchase, and review public-sector AI systems may not be fully accessible. This can limit the ability of people with disabilities to take part in oversight and decision-making. As a result, fewer accessibility concerns may be identified and addressed.
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