a matter for principles - AI, ancient law codes

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a matter for principles

An ideal morality versus imperfect law codes
I leave you three notes:
1. adaptations and corrections after human mistakes are useful, but far from ideal;
2. core principles are the main issues when looking for ideals;
3. I would suppose evolution as submitted to morality (I mean evolution should ideally be moral and ethic) and not vice-versa, in order to avoid dangerous and un-ethical shifts.
Gemini-Bard's reply:
1. Adaptations and Corrections: While adaptations and corrections can be necessary to address human mistakes and changing circumstances, they don't necessarily guarantee an ideal outcome. There's always the risk of unintended consequences or the perpetuation of existing biases.
2. Core Principles: Focusing on core principles is crucial when seeking ideals. These principles provide a foundation for moral reasoning and decision-making, even as specific applications may change.
3. Morality and Evolution: It's a complex relationship. While evolution can shape human behavior and values, it's important to distinguish between biological evolution and moral evolution. Moral evolution is often driven by cultural, social, and individual factors, rather than purely biological processes.
To avoid dangerous and unethical shifts, here are some considerations:
  • Ethical Frameworks: Establishing ethical frameworks and guidelines can help guide moral decision-making and prevent harmful deviations.
  • Critical Thinking: Encouraging critical thinking and questioning existing norms can help identify and address unethical practices.
  • Empathy and Compassion: Cultivating empathy and compassion can promote a more ethical and humane approach to decision-making.
  • Accountability and Transparency: Holding individuals and institutions accountable for their actions and promoting transparency can help prevent unethical behavior.
www.personalismo.it   -   About the pages containing a conversation with AI:
somewhere the typos are here corrected, however I undeline that Gemini-Bard cleverly understood all the same.
On the other side Gemini-Bard, like other large language models, is still under development, and this is reflected in its responses.
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