Machine Learning Experts - Margaret Mitchell
๐ If you're interested in learning how ML Experts, like Meg, can help accelerate your ML roadmap visit https://bit.ly/3isEbYH
Meg is an Ethical AI Researcher at Hugging Face who previously founded & co-led Google's Ethical AI Group.
Thanks for watching Machine Learning Experts with Margaret Mitchell ๐
In this video you'll hear Meg talk about:
- Inclusion & Diversity in Machine Learning
- Model Transparency
- Women in AI
- Machine Learning Bias
๐ค Timestamps
0:00 Intro
1:55 Meg's Background
7:09 When Meg realized the importance of Ethical AI
10:43 Important data ethics applications
12:03 How ML teams can be more aware of harmful bias
13:31 Machine Learning Culture
16:53 Discrimination in Machine Learning
18:26 Inclusion & Diversity
22:47 Diversity in AI
24:23 Model Cards
31:55 Decision thresholds & model transparency
24:30 Meg's Hugging Face Projects
37:22 Meg's impact on AI
40:22 Advice for someone trying to get into ML/AI?
41:26 What industries Meg is most excited to see ML be applied
42:31 Machine Learning bias example
43:39 Will AI take over the world?
45:55 Meg's favorite ML papers
47:42 Lowering the barrier to AI
49:07 Outro
๐ Honorable mentions + links:
Emily Bender: https://twitter.com/emilymbender?lang=en
Ehud Reiter: https://mobile.twitter.com/ehudreiter
Seeing AI: https://www.microsoft.com/en-us/ai/seeing-ai
Data Sheets for Datasets: https://arxiv.org/abs/1803.09010
Model Cards: https://modelcards.withgoogle.com/about
Model Cards Paper: https://arxiv.org/abs/1810.03993
๐๏ธ Favorite ML Papers:
Abeba Birhane's Papers: https://arxiv.org/search/cs?searchtype=author&query=Birhane%2C+A
The Values Encoded in ML Research: https://arxiv.org/abs/2106.15590
๐ค Find us at:
https://bit.ly/3isEbYH
๐ฅ Follow Meg Online:
Twitter: https://twitter.com/mmitchell_ai
LinkedIn: https://www.linkedin.com/in/margaret-mitchell-9b13429/
Website: http://www.m-mitchell.com
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The Transformer architecture
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What happens inside the pipeline function? (PyTorch)
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Instantiate a Transformers model (PyTorch)
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Instantiate a Transformers model (TensorFlow)
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Preprocessing sentence pairs (PyTorch)
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Write your training loop in PyTorch
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Managing a repo on the Model Hub
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Chapter 1 Live Session with Sylvain
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๐ค Tasks: Masked Language Modeling
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Chapters (20)
Intro
1:55
Meg's Background
7:09
When Meg realized the importance of Ethical AI
10:43
Important data ethics applications
12:03
How ML teams can be more aware of harmful bias
13:31
Machine Learning Culture
16:53
Discrimination in Machine Learning
18:26
Inclusion & Diversity
22:47
Diversity in AI
24:23
Model Cards
31:55
Decision thresholds & model transparency
24:30
Meg's Hugging Face Projects
37:22
Meg's impact on AI
40:22
Advice for someone trying to get into ML/AI?
41:26
What industries Meg is most excited to see ML be applied
42:31
Machine Learning bias example
43:39
Will AI take over the world?
45:55
Meg's favorite ML papers
47:42
Lowering the barrier to AI
49:07
Outro
๐
Tutor Explanation
DeepCamp AI