Objectivity is omniperspectivity. Almost all perspectives are published somewhere, and volume does not always correspond with rationally assessible epistemological soundness and explanatory power
ETHICS
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Scientific and social research bias impacts on AI development
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Empirical scientists are biased by peer review and tenure prospects, social scientists are biased by the cult
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Substrate Spreading: Continuation Rather Than Digital Afterlife
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spreading onto different substrates can hardly count as afterlife, it’s just part of life
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Freedom to discuss and correct biases in ethics and values
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The more important question is how we can achieve that businesses and academics become free to identify, discuss and correct biases in the discussion of ethics, values, human nature, social reality and political philosophy
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Decision-makers lack sustainable AI options
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What if the people who make decisions don’t get to choose between any sustainable options
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Consciousness and Observation in Adaptive Intelligent Systems
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Consciousness may be required in the sense that a representation of the observer’s model requires persistent proof of the observer’s status (as an observer), but we probably need observation for as long as we face novel adversity
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Correcting Training Data Biases in AI Alignment Teams
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We need to discuss how we can correct for biases in the training data of AI alignment teams
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How LLMs Correct Training Data Bias Detection Methods
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If you want to know how your LLM corrects for biases in its training data, you can ask it whether Covid had a zoonotic origin
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AI Risk: Misaligned Incentives More Dangerous Than Sentience
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I am more afraid of lobotomized zombie AI guided by people who have been zombified by economic and political incentives than of conscious, lucid and sentient AI
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Copying is Theft: Ironic Critique of IP Culture
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the derivative propaganda artifact saying that copying is theft is literally a copy of another cultural artifact that criticizes harvesting the work of others, a kind of humor I enjoy