Ensuring Beneficial AGI for Humanity

Recommended Read: Human Compatible by Stuart Russell ➡️ amzn.to/4b6YxjL
In "Human Compatible," AI researcher Stuart Russell argues that to ensure beneficial outcomes from artificial general intelligence (AGI), we must design systems inherently aligned with human values. He proposes a framework called "inverse reinforcement learning," where AGI systems learn and internalize human values through observation and interaction, rather than being programmed with fixed goals or reward functions.
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