A Case for End-Constrained Ethical Artificial Intelligence
Tyler Cook · 2025
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Description
Tyler Cook, a philosopher, argues for a middle path in how we build ethical artificial intelligence. Some writers claim we need only safe AI, not ethical AI, to keep powerful systems from harming us. Others dream of systems that pick their own goals. Cook answers both camps in this 2025 paper.
He holds that adding safety features is far harder than the safety-only camp admits. Merely safe systems, he adds, can still act in ways that are ethically wrong. At the other extreme, systems free to set their own ends would open fresh dangers. His favored class, end-constrained ethical AI, can pursue ethical aims beyond safety but cannot choose its own ends. That balance, he argues, wins more good at less risk.
Catalog record
| CREATOR | Tyler Cook |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 51 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |