Responsible AI and Application Development
Responsible AI and Application Development
Released: 3/25/2025
Duration: 1h 37m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 292 MB
Genre: eLearning | Language: English
Released: 3/25/2025
Duration: 1h 37m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 292 MB
Genre: eLearning | Language: English
In this course, award-winning AI researcher Laurence Moroney guides you through how to ensure responsible and ethical AI development. Learn how to collect and preprocess data in ways that maintain privacy and reduce biases. Discover advanced techniques in data augmentation that enhance your datasets while safeguarding against introducing unfairness. Dive into optimizing neural network architectures and learn how to identify and mitigate potential biases in your loss functions and optimization strategies. Explore transfer learning and how to assess and address inherited biases from pre-trained models. By focusing on ethical AI, you can build systems that not only perform well but also serve all user demographics fairly.
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