This shows you the differences between two versions of the page.
| Both sides previous revision Previous revision | |
| robustness [2025/03/30 18:20] – [When AI Meets the Enlightenment: The Threat of Predictability] pedroortega | robustness [2025/03/30 19:48] (current) – pedroortega |
|---|
| |
| ====== Beyond Alignment: Robustness in AI Safety ====== | ====== Beyond Alignment: Robustness in AI Safety ====== |
| | |
| | > Advanced AI is highly adaptable yet inherently unpredictable, making it nearly impossible to embed a fixed set of human values from the start. Traditional alignment methods fall short because AI can reinterpret its goals dynamically, so instead, we need a robustness approach—one that emphasizes continuous oversight, rigorous stress-testing, and outcome-based regulation. This strategy mirrors how we manage human unpredictability, keeping human responsibility at the forefront and ensuring that we can react quickly and effectively when AI behavior deviates. |
| |
| Pluripotent technologies possess transformative, open-ended capabilities that go far beyond the narrow functions of traditional tools. For instance, stem cell technology exemplifies this idea: stem cells can be induced to develop into virtually any cell type. Unlike conventional technologies designed for specific tasks, pluripotent systems can learn and adapt to perform a multitude of functions. This flexibility, however, comes with a trade-off: while they dynamically respond to varying stimuli and needs, their behavior is inherently less predictable and more challenging to constrain in advance. | Pluripotent technologies possess transformative, open-ended capabilities that go far beyond the narrow functions of traditional tools. For instance, stem cell technology exemplifies this idea: stem cells can be induced to develop into virtually any cell type. Unlike conventional technologies designed for specific tasks, pluripotent systems can learn and adapt to perform a multitude of functions. This flexibility, however, comes with a trade-off: while they dynamically respond to varying stimuli and needs, their behavior is inherently less predictable and more challenging to constrain in advance. |