We already handle this with humans, groups, corporations, and governments.
AGI
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Designing AI Objectives: Alignment Challenge vs Human Nature
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You are right.
AI systems are much easier to align because we get to *design* their intrinsic objectives.
We don't get to do this with humans. We only get to modify objectives slightly through education. -
Designing AI Intrinsic Objectives for Common Good Alignment
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Kids have human nature and drives hardwired in their intrinsic objectives. With education, we can merely modify these objectives slightly.
For AI systems, we get to *design* their intrinsic objectives. This makes it *much* easier to align AI to the Common Good than it is to align -
Aligning AI with Common Good Easier Than Nature Modification
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It is much, much easier to align AI with the Common Good, than it is for children and animals.
the reason is that we can't "hack" human nature. We can only modify it through education.
We can "hack" animal nature through selective breeding (which is pretty brutal).
We can -
Superintelligent Sociopaths: Existential Risk Assessment
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– The proportion of sociopaths in society is way larger than 1 in a few million.
– If society is robust to sociopaths, why can't it be robust to artificial sociopaths?
– What makes you think that we will actually build super-intelligent sociopaths?
– We have super-intelligent -
AI Future Predictions and What’s Coming Next in 2024
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I spend a lot of time answering questions about what is coming next in AI (most people are not thinking big enough yet) I'll be sharing what I think is coming in 2024 and beyond with some other awesome panelist tomorrow online. Come hang out!
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Human-Level AI Technology Not Yet Invented
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I know this is X and comments often turn to insults, but I would encourage you to try to understand the argument instead of hiding your lack of understanding behind accusations of dishonesty and ill intent. Technology to reach uuman-lavel AI has *not* yet been invented, pretty
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AI Breakthroughs Beyond Hallucinations Will Transform Everything
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AI is about to get really, really good. Look beyond hallucinations and bias, and instead focus on the consequences of those being largely solved. The impact is far more profound than people currently seem to grasp
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Auto-Regressive LLMs Limited Reasoning Cannot Be Fixed by Scaling
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Anyone who thinks Auto-Regressive LLMs are getting close to human-level AI, or merely need to be scaled up to get there, *must* read this. AR-LLMs have very limited reasoning and planning abilities.
This will not be fixed by making them bigger and training them on more data. -

Extracting GPT-4 System Instructions: Challenges and Insights
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Here is how the pre-cursor instructions are, I've yet been able to get GPT4 to exactly spill the beans on the system instructions.