Foundations of Responsible AI.
(eVideo)
Author
Contributors
Published
Carpenteria, CA linkedin.com, 2022.
Status
Summary
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Subjects
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Format
eVideo
Language
English
Notes
General Note
8/02/202212:00:00AM
Participants/Performers
Presenter: Ayodele Odubela
Summary
Learn about the practices needed to perform fairness testing and implement responsible AI systems.
Summary
How well do you understand the issues around algorithmic bias and unfairness? In this course, data scientist and AI ethicist Ayodele Odubela teaches you the principles of responsible AI, as well as the frameworks necessary to apply RAI techniques in AI systems. Ayodele explains modern AI development and problems in machine learning (ML) that differ from software engineering. She discusses big data and where it comes from, then covers several important points of data awareness and literacy. Ayodele goes over ethical frameworks, consequence scanning, fairness, accountability, and more. She also explains fairness-related harms, why they arise, why they matter, and what you can to avoid or mitigate them. Plus, Ayodele offers a detailed description of human rights as related to AI.
System Details
Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection.
Citations
APA Citation, 7th Edition (style guide)
Odubela, A. (2022). Foundations of Responsible AI . linkedin.com.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Odubela, Ayodele. 2022. Foundations of Responsible AI. linkedin.com.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Odubela, Ayodele. Foundations of Responsible AI linkedin.com, 2022.
MLA Citation, 9th Edition (style guide)Odubela, Ayodele. Foundations of Responsible AI linkedin.com, 2022.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
