AI Safety: A Poisoned Chalice?

IF 2.9 4区计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS IEEE Security & Privacy Pub Date : 2024-04-02 DOI:10.1109/msec.2024.3356848

Helen Nissenbaum

引用次数: 0

Abstract

We hear a lot about the awesome potential of AI—the achievements of reinforcement learning, the astonishing power of foundation models and generative AI. Amplifying the hype, AI Safety has emerged as its counterpoint. AI Safety, when I first encountered it, brought to mind autonomous vehicle crashes, nuclear meltdowns, killer drones, and robots-gone-haywire. Nowadays, I see a different, more aggressive intention as AI Safety has come to dominate the public agenda around AI, beyond the purely technical and economic.

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人工智能安全：有毒的圣杯？

我们经常听到人工智能的巨大潜力--强化学习的成就、基础模型和生成式人工智能的惊人力量。人工智能安全（AI Safety）作为其对立面的出现放大了这一炒作。当我第一次接触人工智能安全时，我想到的是自动驾驶汽车坠毁、核泄漏、无人机杀手和机器人失控。如今，我看到了一种不同的、更具侵略性的意图，因为人工智能安全已开始主导人工智能的公共议程，而不仅仅是纯粹的技术和经济问题。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Security & Privacy 工程技术-计算机：软件工程

CiteScore

4.30

自引率

5.30%

发文量

159

审稿时长

6-12 weeks

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