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Fighting Data Bias: A Personal and Technological Perspective

  • Recommendation systems can create echo chambers and reinforce biases by limiting exposure to diverse content.
  • Personal strategies to combat data bias include random browsing, turning off personalized recommendations, manual searches, and the concept of random walks.
  • Technological approaches to tackle data bias include incorporating randomness, diversifying training data, implementing user feedback mechanisms, and adopting ethical AI practices.
  • Collaborative efforts are needed to combat data bias, with individuals seeking diverse content and technologists developing more balanced algorithms.

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