惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

Spread Privacy
Spread Privacy
大猫的无限游戏
大猫的无限游戏
F
Fortinet All Blogs
M
MIT News - Artificial intelligence
G
Google Developers Blog
Hacker News: Ask HN
Hacker News: Ask HN
cs.AI updates on arXiv.org
cs.AI updates on arXiv.org
K
KPMG report finds enterprise disconnect between AI and its ROI | CIO
H
Help Net Security
V
Visual Studio Blog
WordPress大学
WordPress大学
博客园 - 司徒正美
TaoSecurity Blog
TaoSecurity Blog
Webroot Blog
Webroot Blog
Hugging Face - Blog
Hugging Face - Blog
Application and Cybersecurity Blog
Application and Cybersecurity Blog
W
WeLiveSecurity
C
CERT Recently Published Vulnerability Notes
Y
Y Combinator Blog
S
Schneier on Security
Recent Announcements
Recent Announcements
CTFtime.org: upcoming CTF events
CTFtime.org: upcoming CTF events
宝玉的分享
宝玉的分享
T
Troy Hunt's Blog
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
博客园 - 三生石上(FineUI控件)
Microsoft Azure Blog
Microsoft Azure Blog
N
News and Events Feed by Topic
A
About on SuperTechFans
小众软件
小众软件
K
Kaspersky official blog
Help Net Security
Help Net Security
V2EX - 技术
V2EX - 技术
P
Proofpoint News Feed
S
Secure Thoughts
IT之家
IT之家
云风的 BLOG
云风的 BLOG
N
Netflix TechBlog - Medium
The Register - Security
The Register - Security
I
Intezer
NISL@THU
NISL@THU
GbyAI
GbyAI
P
Privacy & Cybersecurity Law Blog
T
Threatpost
C
Check Point Blog
Forbes - Security
Forbes - Security
C
Cisco Blogs
AI
AI
Recorded Future
Recorded Future
F
Full Disclosure

Privacy International News Feed

Humanless Resources? Uncovering AI recruitment software When algorithms go to war PI’s submission to the UN Working Group on the Use of Mercenaries Collateral Damage: Claude Mythos and the Privacy Risks of AI Key highlights of our 2026 results by season World Food Programme expand Palantir partnership Time to address the human rights implications of AI in the military domain Bad Vibes: AI coding tools and privacy issues How New EU Access to Documents Rules Can Reduce Transparency and Shield Big Tech Privacy International’s submission to the UN High Commissioner for Human Rights on the protection of human rights defenders in the digital age Collateral Damage: Grok AI and the Human Cost of Generative AI From Big Oil to Big Algorithm: Public Money in Private Models Dual-use tech: the BAE Systems example Dual-use tech: the Lockheed Martin example Voter Disenfranchisement: A Privacy Issue What is digital fingerprinting: Is my device ever truly anonymous? Moving Goalposts: Football, Facial Recognition and the Expansion of Surveillance Dangerous data The ILO Convention on decent work in the platform economy Challenging the militarisation of tech: a visual explainer Are IP addresses personal data? PI seeks to inform inquiry of UK Joint Committee on Human Rights on human rights and AI Transparency and explainability for algorithmic decisions at work Our key achievements from 2025 Joint Statement on New Finnish Social Welfare Laws’ Human Rights Implications Privacy International’s remarks at the side event of the 61st Session of the UN Human Rights Council on the Human Rights Impacts of Using Artificial Intelligence in Countering Terrorism Privacy International & Women on Web - Securing Reproductive Justice: A Guide to Digital Privacy for Sexual and Reproductive Justice Activists
What does it mean when Big Tech goes to war?
2026-03-06 · via Privacy International News Feed

2. Is domestic and foreign mass surveillance now an acceptable business service?

Civilian data from civilian sources ends up in war machines, and it’s not limited to the U.S. government. The issue had been studied by the Biden Administration’s Office of the Director of National Intelligence and led to an Executive Order on Americans’ bulk personal data transfers to ‘countries of concern’. The UK Government has started a consultation on this very issue as well.

Before, the limitation government surveillance powers on this came in the form of rules regulating direct surveillance and the processing capacity of governments to make use of this data. Now, AI firms and cloud providers make mass surveillance both possible and real. It’s through their contracts with governments that vast data processing is at all possible.

Mass surveillance is wrong. It enables the potential for unchecked state power and control over individuals, obstructs the separation of powers, and affects all our rights. 

As the UN human rights chief has said, “while some States claim that such indiscriminate mass surveillance is necessary to protect national security, this practice is not permissible under international human rights law, as an individualized necessity and proportionality analysis would not be possible in the context of such measures”. We can’t let this corporate-government struggle over corporate ethical promises distract us from the very real threats of mass surveillance and how it impacts our lives.

Systems that enable vast data collection and processing must comply with existing human rights standards and must be made safe. Surveillance regulations urgently need updating to comply with existing standards for this era where governments are pre-emptively collecting data on people, domestic and foreign citizens, even in the gaps between conflict. 

Governments’ must stop using ‘national security law’ and related practices to shield them from this necessary and essential scrutiny around their mass surveillance practices that puts people across the world at greater risk.

3. When does a company's ethical commitment to its users end, and its national loyalty begin?

This question is particularly sticky, and intentionally so. First, so long as companies claim that they have ethical principles and will abide by human rights obligations, it’s highly desirable that we know what kind of contracts they have with governments and militaries.

If war departments across the world are able to collect bulk data on people, foreign and domestic, and use Big Tech firms to process this data, at what point do the Big Tech nationalistic concerns for ‘American people’ become impossible to live up to? 

When Microsoft’s services were used by the Israeli Ministry of Defence to process intercept data, did Microsoft’s services analyse whether that included any U.S. persons? This was never addressed, and instead Microsoft severed components of its contract on ethical grounds. (Please don’t get us wrong: we think all people’s data should be equally protected. All we are trying to show is the absurdity of the argument.)

The preoccupation with protecting American persons only in this era is ridiculous and irresponsible. But it’s because these firms are American that they feel this pressure. They should also be accountable for protecting everyone’s privacy. 

These companies are consumer-facing companies, and if they had privacy policies that stated they would not protect the privacy of non-American consumers, that would be considered a ridiculous and risky business decision. 

Then why is it permissible for them to endanger non-Americans from advanced surveillance that could even result in their targeting by autonomous weapons?

As other governments accumulate data on people, including US persons, these now-patriotic Big Tech firms would have to prevent this processing in their contracts or would promise to design their AI to prevent this from happening. We expect these firms to respect all people's privacy in every government contract they have. To verify this, all contracts needs to be clear and transparent particularly when the stakes are so high.

4. If all our lives are fair game, shouldn’t we all know it?

In out fight against mass surveillance laws around the world, we run up against the most powerful arms of governments using many tools, including the law, to shield themselves from scrutiny. We make progress, but it’s an intense uphill battle.

Because companies know more about these systems than government officials, there was some discussion that safeguards could be built into OpenAI’s technical solutions or Palantir’s implementation to prevent such abuses. This was rejected by Anthropic’s CEO as "safety theatre": 

"The basic issue is that whether a model is conducting applications like mass surveillance or fully autonomous weapons depends substantially on wider context: a model doesn’t “know” if there’s a human in the loop in the broad situation it is in (for autonomous weapons), and doesn’t know the provenance of the data is it analyzing (so doesn’t know if this is US domestic data vs foreign, doesn’t know if it’s enterprise data given by customers with consent or data bought in sketchier ways, etc)"

Investors, customers, and people everywhere deserve to know how these companies are selling, building, and deploying their technologies - including when that technology is being used against people. 

This is important as our funds (and our data) contribute to their development contribute to their development. Without these constraints, we suspect that industry will continue to play politics to compete with each other for dominance - particularly as these firms build general purpose tools like cloud compute and generative models.

Unless they can put guardrails into the contracts with governments - and we know they will struggle - then maybe they should not be working with them at all.