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#ethics

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otherDec 15

Let's talk about biases in machine learning! Ethics and Society Newsletter #2

The Ethics and Society newsletter discusses biases in machine learning, highlighting the need for awareness and mitigation. Biases can arise from data, algorithms, and human factors. Addressing these biases is crucial for building fair and reliable models. You can find more information and resources on this topic.

Key takeaways
  • Biases in machine learning arise from data, algorithms, and human factors.
  • Addressing biases is crucial for building fair and reliable models.
  • Resources are available for learning more about mitigating biases.
otherMar 23

Machine Learning Experts - Margaret Mitchell

Margaret Mitchell, a prominent researcher in machine learning, joins Hugging Face as Chief AI Officer. She brings expertise in explainable AI, ethics, and safety. Her role involves guiding the development of Hugging Face's AI technologies. You can expect her to focus on responsible AI practices.

Key takeaways
  • Margaret Mitchell joins Hugging Face as Chief AI Officer.
  • She brings expertise in explainable AI, ethics, and safety.
  • Her role focuses on guiding AI technology development and responsible AI practices.