AI Ethics: Disability-Centered Frameworks

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Yonah Welker

49:01

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01 - Introduction

01 - Disability-centered systems and algorithms.mp4

00:45

02 - What you should know.mp4

01:46

02 - 1. Disability and AI Bias

01 - How AI algorithms support people with disabilities.mp4

02:45

02 - Why disabilities can be challenging for algorithms.mp4

01:45

03 - How systems can be inaccurate.mp4

02:20

04 - What factors lead to errors.mp4

02:51

05 - Assess your problem and objectives.mp4

01:56

03 - 2. Understanding Systems and Risks

01 - AI system categories.mp4

03:10

02 - AI regulation and protections.mp4

02:19

03 - How risk categories are unique for people with disabilities.mp4

02:20

04 - Assess your systems, categories, and risks.mp4

01:29

04 - 3. Disability-Centered Data

01 - How data is used in AI systems.mp4

02:31

02 - How bias can enter data.mp4

02:33

03 - Assess your data.mp4

01:44

05 - 4. Disability-Centered Models

01 - How AI models impact people with disabilities.mp4

03:44

02 - How bias can affect AI models.mp4

02:44

03 - Assess your AI models.mp4

01:59

06 - 5. Disability-Centered Knowledge Frameworks and Policies

01 - Adopting ethical frameworks, guidelines, and memorandums.mp4

02:36

02 - Disability-centered framework parameters.mp4

02:31

03 - Additional tools and frameworks.mp4

02:47

04 - Assess resources and memorandums.mp4

01:35

07 - Conclusion

01 - A way forward.mp4

00:51

Description

Building disability- and neurodiversity-centered AI systems helps not only the over one billion people with impairments globally, but everyone else, as well. In this course, technology explorer and public voice for the algorithmic spectrum Yonah Welker guides you through disability and AI bias, as well as systems and risks. Learn about disability-centered data, models, knowledge frameworks, and policies. Plus, explore positive ways forward.

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Artificial Intelligence

Yonah Welker

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Linkedin Learning

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LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.