Foundations of Responsible AI
Foundations of Responsible AI
Duration: 2h 30m 38s | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 1.03 GB
Genre: eLearning | Language: English
Duration: 2h 30m 38s | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 1.03 GB
Genre: eLearning | Language: English
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.
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