What specific harms related to AI does the author identify?

The author lists harms in AI creation (training without permission or compensation, labor exploitation in data labeling) and harms enabled by AI use (revenge porn, loss of truth through self-referential training, energy and water usage). She also notes emerging risks such as delegating decisions about who to jail or kill on the battlefield to AI systems.

Does the author believe AI training was legal or ethical?

The author notes that the legality of how OpenAI trained its models is currently unresolved—the law does not yet cover it, and case law has been muddled and contradictory. However, even if training turns out to have been legal, she states it was not right in her view.

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Opinion: AI is a tool requiring engagement, not disavowal—those in tech have a moral responsibility to shape its governance rather than abstain.

Hacker News22h ago3 min read

Key takeaway

A technology writer argues that people working in tech should engage deeply with AI rather than refuse to use it, despite documented harms in training and deployment. She contends that understanding and shaping a powerful tool from within is more effective and morally responsible than disengagement, and that many concerns critics raise about AI are not unique to AI but existing problems made worse.

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3 Key Points

What happened
A technology writer argues against the position that awareness of AI's harms—including training on unlicensed data, labor exploitation, and risks like delegating decisions about incarceration or warfare—should lead people to refuse engagement with AI systems.
Why it matters
The author contends that learning to govern a tool requires using it and understanding it well enough to critique and shape it. For people in technology, she suggests that unilateral disavowal is ineffective; instead, becoming informed experts and participating in building the next generation of technology is a moral responsibility.
What to watch
The author catalogs two categories of documented harms—those in creation (unlicensed training, data-labeling labor exploitation) and those enabled by use (misinformation, attribution problems, energy and water costs)—and frames responsible engagement as the path to addressing them rather than avoidance.

FAQ

What specific harms related to AI does the author identify?: The author lists harms in AI creation (training without permission or compensation, labor exploitation in data labeling) and harms enabled by AI use (revenge porn, loss of truth through self-referential training, energy and water usage). She also notes emerging risks such as delegating decisions about who to jail or kill on the battlefield to AI systems.
Does the author believe AI training was legal or ethical?: The author notes that the legality of how OpenAI trained its models is currently unresolved—the law does not yet cover it, and case law has been muddled and contradictory. However, even if training turns out to have been legal, she states it was not right in her view.

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