The hottest Biases Substack posts right now

And their main takeaways
Category
Top Education Topics
Cybernetic Forests β€’ 139 implied HN points β€’ 26 Feb 23
  1. Composite images were historically used to reinforce racist and eugenic ideologies, linking appearance with criminality and intelligence.
  2. The use of language and categorization in AI-generated images can perpetuate biases and stereotypes, reflecting societal norms and prejudices.
  3. The dataset used in AI models can influence the outcomes, showing how biases and problematic representations are embedded in the generated images.
David Friedman’s Substack β€’ 224 implied HN points β€’ 11 Jan 24
  1. Consider the ethical implications of publishing research with potential real-world effects.
  2. Publishing evidence against popular beliefs can be challenging but contributes to the marketplace of ideas.
  3. The decision to publish should prioritize the pursuit of truth over personal biases or potential consequences.
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Moral Mayhem Podcast β€’ 0 implied HN points β€’ 13 Mar 24
  1. Effective Altruism (EA) has both strong points and weaknesses that need to be discussed. It's important to look at both sides to understand it better.
  2. The cultural vibes and beliefs within EA can show some biases and inconsistencies. We should think about how these affect the movement.
  3. By exploring these features and flaws, we can appreciate the good in EA while also recognizing where it could improve. It's all about finding balance.