🚨NEW: @Amnesty briefing documents how mass data pipelines of gen AI systems are rooted in invasions of privacy by design.
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Governments claim risk profiling systems help identify potential criminals or fraudsters but in practice they reinforce discrimination & inequality. @amnesty report shows how their use in law enforcement, social security & migration violates human rights.
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When governments use past social data to predict who is going to commit a crime, they inevitably target individuals from marginalized groups and reproduce past injustices and there is simply no technical way to fix such societal issues.
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The belief that machines are neutral produces a facade of objectivity that ends up reinforcing discrimination and inequality. As a result, people suffer from the deployment of tools whose outcomes have been shown to be scientifically dubious & inaccurate. They must be banned!
In Feb 2023, an attempted spyware attack targeted German-Vietnamese journalist Trung Khoa Lê editor of Thoibao.de. Forensic analysis by @Amnesty discovered Predator spyware was used. Authorities must investigate & identify those responsible.
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Companies are designing gen AI systems by harvesting troves of data & building exploitative supply chains in ways that risk widespread human rights abuses.
@Amnesty's new briefing exposes how unlawful web scraping to train gen AI is driving a mass invasion of privacy by design.
Such systems rely on extracting information from billions of public online posts and images, often without the explicit consent of the individuals appearing in or creating them.
It is essential that states prohibit standalone generative AI systems that have been built using unlawful web scraping, defined as the bulk and mass collection of training data through the web scraping.
Companies must immediately cease the practice of unlawful non-consensual web scraping of personal data for AI training purposes, and states must hold companies to account for their involvement in any human rights abuses linked to their design and business choices.
Companies across the world are supplying gen AI products under the veneer of efficiency and sophistication, but in reality, these systems perpetuate mass invasions of privacy through unlawful web scraping.
The extractive data pipeline, inherent design choices made by tech companies and exploitative supply chains, to build generative AI systems have enabled a paradigm of technology development that opens up a risk of mass abuse of human rights.
🚨NEW: @Amnesty briefing documents how mass data pipelines of gen AI systems are rooted in invasions of privacy by design.
amnesty.org/en/latest/news/2…
Generative AI doesn’t run on magic. It runs on massive data pipelines built on privacy violations by design.
Our new @Amnesty report exposes how big tech’s AI systems are powered by surveillance, data extraction, and abuse of people’s rights, at scale.
We researched the models powering some of the most popular publicly available standalone generative AI tools, including GPT 3 by Open AI, Google’s Gemini, Meta’s Llama, DeepSeek and tools by Midjourney and Stable Diffusion.
This is not innovation at any cost. It comes at a high price: our human rights.
Read the report: amnesty.org/en/latest/news/2…
.@amnesty support a lawsuit filed today by @theprivavcycoll2 on behalf of Dutch internet users against AppLovin, for allegedly collecting & selling personal data through tracking in popular mobile games and apps such as Vinted & CapCut Video Editor.
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Authoritarian practices have accelerated in Indonesia under President Prabowo Subianto’s government. Coordinated disinformation campaigns portraying government critics as “foreign agents” are silencing dissent and fueling intimidation and violence.
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Excited to see @Google launch Intrusion Logging, the first purpose-built system to enable forensic investigations of advanced attacks on mobile.
@AmnestyTech has worked with @Android as a design partner, during the development of Intrusion Logging and Advanced Protection Mode
🚨@Google has unveiled Android Intrusion Logging, developed in partnership with @Amnesty's Security Lab. This feature securely captures & backs up device logs in a privacy preserving & tamper resistant way, ensuring access is limited to the device owner👇 securitylab.amnesty.org/late…
Crucially, these features help digital forensic researchers and investigators respond to increasing threats and attacks against phones of journalists and human rights defenders, making it easier to trace vulnerabilities in cases of hacking.
These updates shift the balance in favour of human rights defenders and civil society investigators by preserving key evidence on the device. They help better detect, investigate and expose the most advanced attacks facing journalists and activists today.