Curating Unbiased Data Key to Ensuring AI Amplifies Human Progress, Not Flaws
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The real danger with AI is not a machine takeover, but rather humans making bad decisions that are amplified by AI systems trained on flawed data.
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There is a dangerous misalignment between people and their ideological opponents, not between people and AI systems. We can't agree on facts and history.
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Weaponized misinformation is being fed into AI training data, contaminating the systems. AI just amplifies existing human biases and flaws.
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China is a threat in AI due to training far more engineers and computer scientists than the US. The misalignment is they have more AI capability than we do.
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To solve these issues, we need to focus attention on curating high-integrity training data for AI systems, ensuring it is scientifically valid and unbiased. AI has no ingenuity of its own.