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Content type: Explainer
Behind every machine is a human person who makes the cogs in that machine turn - there's the developer who builds (codes) the machine, the human evaluators who assess the basic machine's performance, even the people who build the physical parts for the machine. In the case of large language models (LLMs) powering your AI systems, this 'human person' is the invisible data labellers from all over the world who are manually annotating datasets that train the machine to recognise what is the colour…
Content type: News & Analysis
What if we told you that every photo of you, your family, and your friends posted on your social media or even your blog could be copied and saved indefinitely in a database with billions of images of other people, by a company you've never heard of? And what if we told you that this mass surveillance database was pitched to law enforcement and private companies across the world?
This is more or less the business model and aspiration of Clearview AI, a company that only received worldwide…
Content type: Examples
A growing number of companies - for example, San Mateo start-up Camio and AI startup Actuate, which uses machine learning to identify objects and events in surveillance footage - are repositioning themselves as providers of AI software that can track workplace compliance with covid safety rules such as social distancing and wearing masks. Amazon developed its own social distancing tracking technology for internal use in its warehouses and other buildings, and is offering it as a free tool to…
Content type: Long Read
Over the last two decades we have seen an array of digital technologies being deployed in the context of border controls and immigration enforcement, with surveillance practices and data-driven immigration policies routinely leading to discriminatory treatment of people and undermining peoples’ dignity.
And yet this is happening with little public scrutiny, often in a regulatory or legal void and without understanding and consideration to the impact on migrant communities at the border and…
Content type: Long Read
In April 2018, Amazon acquired “Ring”, a smart security device company best known for its video doorbell, which allows Ring users to see, talk to, and record people who come to their doorsteps.
What started out as a company pitch on Shark Tank in 2013, led to the $839 million deal, which has been crucial for Amazon to expand on their concept of the XXI century smart home. It’s not just about convenience anymore, interconnected sensors and algorithms promise protection and provide a feeling of…
Content type: News & Analysis
Yesterday, Amazon announced that they will be putting a one-year suspension on sales of its facial recognition software Rekognition to law enforcement. While Amazon’s move should be welcomed as a step towards sanctioning company opportunism at the expense of our fundamental freedoms, there is still a lot to be done.
The announcement speaks of just a one-year ban. What is Amazon exactly expecting to change within that one year? Is one year enough to make the technology to not discriminate…
Content type: Long Read
On 12 April 2020, citing confidential documents, the Guardian reported Palantir would be involved in a Covid-19 data project which "includes large volumes of data pertaining to individuals, including protected health information, Covid-19 test results, the contents of people’s calls to the NHS health advice line 111 and clinical information about those in intensive care".
It cited a Whitehall source "alarmed at the “unprecedented” amounts of confidential health information being swept up in the…