How to Tell We–and AI–Are Choosing the Good
The article explores how both humans and AI face moral choices, examining the ethical frameworks that guide decision-making. It argues that recognizing the ability to choose good or harm is essential for responsible AI development, drawing parallels between human moral reasoning and machine learning alignment.
Background
- This piece appears to discuss AI alignment and moral decision-making, likely engaging with the "alignment problem" — the challenge of ensuring AI systems reliably pursue human values and goals.
- Substack is a newsletter platform popular among tech and policy writers; "Deep Sub" suggests a focus on technical or philosophical depth.
- The title echoes philosophical language about "choosing the good," probably referencing Plato, Aristotle, or Christian moral tradition — common touchpoints in discussions of whether AI can (or should) be taught ethics.
- The broader context: rapid advances in large language models (like GPT-4, Claude) have intensified debate over whether machines can act morally, and whether we can encode "good" choices into them without unintended consequences.