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Speculative discussion on bio‑computer cloning, AI ethics, and historical human rights
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kaggle-ho-016389House Oversight

Speculative discussion on bio‑computer cloning, AI ethics, and historical human rights

Speculative discussion on bio‑computer cloning, AI ethics, and historical human rights The text is a philosophical overview without concrete names, dates, transactions, or actionable allegations. It contains no specific references to powerful actors, financial flows, or misconduct that could be investigated. Key insights: Mentions super‑computer cloning of silicon/human hybrids and energy costs.; References historical Bills of Rights, FDR's Four Freedoms, and the UN Declaration.; Discusses ethical frameworks for AI, autonomous systems, and transparency movements.

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Speculative discussion on bio‑computer cloning, AI ethics, and historical human rights The text is a philosophical overview without concrete names, dates, transactions, or actionable allegations. It contains no specific references to powerful actors, financial flows, or misconduct that could be investigated. Key insights: Mentions super‑computer cloning of silicon/human hybrids and energy costs.; References historical Bills of Rights, FDR's Four Freedoms, and the UN Declaration.; Discusses ethical frameworks for AI, autonomous systems, and transparency movements.

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kagglehouse-oversightai-ethicsbio‑computinghuman-rightstechnology-policyphilosophy

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Even though a supercomputer can “train” a clone of zemself in seconds, the energy cost of producing a mature silicon clone is comparable. Engineering (Homo) prodigies might make a small impact on this slow process, but speeding up development and implanting extensive memory (as DNA-exabytes or other means) could reduce duplication time of a bio-computer to close to the doubling time of cells (ranging from eleven minutes to twenty-four hours). The point is that while we may not know what ratio of bio/homo/nano/robo hybrids will be dominant at each step of our accelerating evolution, we can aim for high levels of humane, fair, and safe treatment (“use”) of one another. Bills of Rights date back to 1689 in England. FDR proclaimed the “Four Freedoms”’—freedom of speech, freedom of conscience, freedom from fear, and freedom from want. The U.N.’s Universal Declaration of Human Rights in 1948 included the right to life; the prohibition of slavery; defense of rights when violated; freedom of movement; freedom of association, thought, conscience, and religion; social, economic, and cultural rights; duties of the individual to society; and prohibition of use of rights in contravention of the purposes and principles of the United Nations. The “universal” nature of these rights is not universally embraced and is subject to extensive critique and noncompliance. How does the emergence of non-Homo- intelligences affect this discussion? At a minimum, it is becoming rapidly difficult to hide behind vague intuition for ethical decisions—“I know it when I see it” (U.S. Supreme Court Justice Potter Stewart, 1964) or the “wisdom of repugnance” (aka “yuck factor,” Leon Kass, 1997), or vague appeals to “common sense.” As we have to deal with minds alien to us, sometimes quite literal from our viewpoint, we need to be explicit—yea, even algorithmic. Self-driving cars, drones, stock-market transactions, NSA searches, et cetera, require rapid, pre-approved decision making. We may gain insights into many aspects of ethics that we have been trying to pin down and explain for centuries. The challenges have included conflicting priorities, as well as engrained biological, sociological, and semi-logical cognitive biases. Notably far from consensus in universal dogmas about human rights are notions of privacy and dignity, even though these influence many laws and guidelines. Humans might want the right to march in to read (and change) the minds of computers to see why they’re making decisions at odds with our (Homo) instincts. Is it not fair for machines to ask the same of us? We note the growth of movements toward transparency in potential financial conflicts; “open-source” software, hardware, and wetware; the Fair Access to Science and Technology Research Act (FASTR); and the Open Humans Foundation. In his 1976 book Computer Power and Human Reason, Joseph Weizenbaum argued that machines should not replace Homo in situations requiring respect, dignity, or care, while others (author Pamela McCorduck and computer scientists like John McCarthy and Bill Hibbard) replied that machines can be more impartial, calm, and consistent and less abusive or mischievous than people in such positions. Equality What did the thirty-three-year-old Thomas Jefferson mean in 1776 when he wrote, “We hold these Truths to be self-evident, that all Men are created equal, that they are endowed 169

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