Introduction
Disability-centered systems and algorithms
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What you should know
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1. Disability and AI Bias
How AI algorithms support people with disabilities
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Why disabilities can be challenging for algorithms
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How systems can be inaccurate
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What factors lead to errors
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Assess your problem and objectives
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2. Understanding Systems and Risks
AI system categories
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AI regulation and protections
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How risk categories are unique for people with disabilities
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Assess your systems, categories, and risks
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3. Disability-Centered Data
How data is used in AI systems
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How bias can enter data
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Assess your data
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4. Disability-Centered Models
How AI models impact people with disabilities
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How bias can affect AI models
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Assess your AI models
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5. Disability-Centered Knowledge Frameworks and Policies
Adopting ethical frameworks, guidelines, and memorandums
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Disability-centered framework parameters
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Additional tools and frameworks
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Assess resources and memorandums
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Conclusion
A way forward
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Ex_Files_AI_Ethics_Disability_Centered_Frameworks.zip
(104 KB)
GLOSSARY_AI_Ethics_Disability_Centered_Frameworks.zip
(22 KB)