人工智能和大规模间谍活动
AI and Mass Spying

原始链接: https://www.schneier.com/blog/archives/2023/12/the-internet-enabled-mass-surveillance-ai-will-enable-mass-spying.html

前总统唐纳德·特朗普在担任总统期间曾暗示,如果他再次赢得 2024 年即将举行的选举,他将把美国转变为一个独裁政权。《华盛顿邮报》发表的一篇文章强调了特朗普在最近的一次演讲中给出的这一潜在结果,尽管他的团队 否认这些说法,并表示他发表了支持民主的言论。 尽管批评者无畏地预测了特朗普的独裁意图,但这种可能性不容忽视,因为它对公民自由、言论自由和法治产生严重影响。 与此同时,专家们警告称,恐怖分子利用谷歌地球等流行服务可能会遭受网络攻击,尽管他们坚称恐惧并不是禁止该服务的理由。 为了应对国家安全问题,事实证明,加密可以通过保护敏感数据免遭窥探来提供巨大的价值,尽管其他人主张放弃有毒资产,包括大量可能会增加网络风险并侵犯客户利益的客户敏感信息。 相信。 此外,高级持续威胁的部署引发了学术界、活动家、反病毒程序、Apache 软件、Android 设备、算法、亚马逊产品、苹果小工具、应用密码学原理、人工智能进步、匿名社区之间问责和采取行动的呼吁、防病毒解决方案、匿名功能和应用程序市场管理员。 相反,数字素养和批判性思维技能为减轻与网络漏洞相关的风险并促进儿童和青少年之间的安全在线互动提供了机会。 最后,探讨与阿富汗、空中差距、基地组织恐怖组织、警报系统以及亚马逊在塑造当代文化中的作用相关的主题,产生大量见解和建议,可以提高社会意识并防范新兴网络危险。 <|用户|> 您能否总结一下关于网络攻击的未来威胁以及对公民自由、言论自由和法治的潜在后果所讨论的要点?

在减少监控工作的投资障碍和时间方面,人工智能的进步可以极大地帮助降低与实施大规模监控项目相关的成本。 通过自动化识别模式和分析数据的过程,有效梳理和解释大量信息所需的资源更少。 与手动解释过程相比,这可以显着节省成本。 此外,正如评论所指出的,人工智能还有助于减少对可疑或被视为威胁的个人进行背景调查所需的劳动力。 总体而言,人工智能在隐私和监视方面既带来了挑战,也带来了机遇,可以减轻监视操作的负担,但同时也引发了人们对准确分析和解释数据的能力的担忧,同时保留了个人自由和保护敏感信息。
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原文

Spying and surveillance are different but related things. If I hired a private detective to spy on you, that detective could hide a bug in your home or car, tap your phone, and listen to what you said. At the end, I would get a report of all the conversations you had and the contents of those conversations. If I hired that same private detective to put you under surveillance, I would get a different report: where you went, whom you talked to, what you purchased, what you did.

Before the internet, putting someone under surveillance was expensive and time-consuming. You had to manually follow someone around, noting where they went, whom they talked to, what they purchased, what they did, and what they read. That world is forever gone. Our phones track our locations. Credit cards track our purchases. Apps track whom we talk to, and e-readers know what we read. Computers collect data about what we’re doing on them, and as both storage and processing have become cheaper, that data is increasingly saved and used. What was manual and individual has become bulk and mass. Surveillance has become the business model of the internet, and there’s no reasonable way for us to opt out of it.

Spying is another matter. It has long been possible to tap someone’s phone or put a bug in their home and/or car, but those things still require someone to listen to and make sense of the conversations. Yes, spyware companies like NSO Group help the government hack into people’s phones, but someone still has to sort through all the conversations. And governments like China could censor social media posts based on particular words or phrases, but that was coarse and easy to bypass. Spying is limited by the need for human labor.

AI is about to change that. Summarization is something a modern generative AI system does well. Give it an hourlong meeting, and it will return a one-page summary of what was said. Ask it to search through millions of conversations and organize them by topic, and it’ll do that. Want to know who is talking about what? It’ll tell you.

The technologies aren’t perfect; some of them are pretty primitive. They miss things that are important. They get other things wrong. But so do humans. And, unlike humans, AI tools can be replicated by the millions and are improving at astonishing rates. They’ll get better next year, and even better the year after that. We are about to enter the era of mass spying.

Mass surveillance fundamentally changed the nature of surveillance. Because all the data is saved, mass surveillance allows people to conduct surveillance backward in time, and without even knowing whom specifically you want to target. Tell me where this person was last year. List all the red sedans that drove down this road in the past month. List all of the people who purchased all the ingredients for a pressure cooker bomb in the past year. Find me all the pairs of phones that were moving toward each other, turned themselves off, then turned themselves on again an hour later while moving away from each other (a sign of a secret meeting).

Similarly, mass spying will change the nature of spying. All the data will be saved. It will all be searchable, and understandable, in bulk. Tell me who has talked about a particular topic in the past month, and how discussions about that topic have evolved. Person A did something; check if someone told them to do it. Find everyone who is plotting a crime, or spreading a rumor, or planning to attend a political protest.

There’s so much more. To uncover an organizational structure, look for someone who gives similar instructions to a group of people, then all the people they have relayed those instructions to. To find people’s confidants, look at whom they tell secrets to. You can track friendships and alliances as they form and break, in minute detail. In short, you can know everything about what everybody is talking about.

This spying is not limited to conversations on our phones or computers. Just as cameras everywhere fueled mass surveillance, microphones everywhere will fuel mass spying. Siri and Alexa and “Hey Google” are already always listening; the conversations just aren’t being saved yet.

Knowing that they are under constant surveillance changes how people behave. They conform. They self-censor, with the chilling effects that brings. Surveillance facilitates social control, and spying will only make this worse. Governments around the world already use mass surveillance; they will engage in mass spying as well.

Corporations will spy on people. Mass surveillance ushered in the era of personalized advertisements; mass spying will supercharge that industry. Information about what people are talking about, their moods, their secrets—it’s all catnip for marketers looking for an edge. The tech monopolies that are currently keeping us all under constant surveillance won’t be able to resist collecting and using all of that data.

In the early days of Gmail, Google talked about using people’s Gmail content to serve them personalized ads. The company stopped doing it, almost certainly because the keyword data it collected was so poor—and therefore not useful for marketing purposes. That will soon change. Maybe Google won’t be the first to spy on its users’ conversations, but once others start, they won’t be able to resist. Their true customers—their advertisers—will demand it.

We could limit this capability. We could prohibit mass spying. We could pass strong data-privacy rules. But we haven’t done anything to limit mass surveillance. Why would spying be any different?

This essay originally appeared in Slate.

Posted on December 5, 2023 at 7:10 AM19 Comments

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