👀What's Bias, anyway? + do you know this ML term?
This episode of Unsupervised Learning gets nerdy with former data science bootcamp instructor turned Google ML engineer, Victor G ! We're unpacking everything from machine learning basics to the mind-bending ethics of AI. Breaking Down AI Hype What are foundational models really? How do those crazy things like GPT and BERT actually work? Beyond the Lab How do we take machine learning models from the lab to real-world impact (that's where MLOps comes in). The Ethics Question Can AI detect your emotions? Should it? We're getting into the tricky territory of bias and fairness in machine learning. The Future is...Weird Where is this tech going? We'll make some wild predictions and look back at how far we've come (remember the first smartphones?
Suggested by Renée:https://vt.tiktok.com/ZSFQdVeAA/ (Bias in ChatGPT on résumés)
(This is not new in AI or engineering)
Weapons of Math Destruction (Cathy O’Neil, 2016)
Generally accessible with plenty of examples
Practical Fairness (Aileen Nielsen, 2020)
Much more technical
(un)Supervised Learning links
https://podcasts.apple.com/us/podcast... www.unsupervisedlearning.co
pod@unsupervisedlearning.co
Sponsored by Jan https://jan.ai/ (run local llms totally offline)
00:00 Welcome to Unsupervised Learning: Diving into Open Source Tech 00:55 Exploring the Concept of Foundational Models in AI 03:44 BERT: Unpacking Its Mechanism and Impact 11:59 The Intricacies of Machine Learning Operations (MLOps) 15:08 Ethical Considerations in AI: From Emotion Detection to Biometrics 27:37 Exploring the Impact of Bias in AI and Machine Learning 29:20 The Challenge of Accessing Quality Research Behind Paywalls 30:24 The Intricacies of Machine Learning and Bias Mitigation 36:57 Future Predictions and the Evolution of Technology 44:31 Reflecting on the Past and Imagining the Future of Smartphones
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