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From Data to Decisions: How AI Is Quietly Running the World

  • AI has quietly taken the lead in various industries such as finance, healthcare, and logistics, making critical decisions without always revealing the decision-making process.
  • Despite good intentions, AI models can exhibit biases and lack transparency, leading to unfair outcomes like job denials or visa rejections without clear explanations.
  • Human oversight is essential as AI lacks empathy and needs guidance to understand contexts, highlighting the importance of human involvement in directing and auditing AI systems.
  • There is a growing need for scrutinizing and governing AI systems to ensure they align with values and serve the people impacted by them, emphasizing the responsibility of users to question the origins and principles embedded in AI algorithms.

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