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Content type: Long Read
What happened?On 19 July 2024, American cybersecurity company CrowdStrike released an update to its CrowdStrike Falcon software that ultimately caused 8.5 million computers running Microsoft Windows to crash. The damage done was both deep and wide: deep because the computers affected were unable to recover without direct user intervention. Wide because a whole range of companies - from airlines to healthcare to media - across a whole range of countries - from Sweden to India to New Zealand -…
Content type: Long Read
IntroductionIn early October this year, Google announced its AI Overviews would now have ads. AI companies have been exploring ways to monetise their AI tools to compensate for their eye watering costs, and advertising seems to be a part of many of these plans. Microsoft have even rolled out an entire Advertising API for its AI chat tools.As AI becomes a focal point of consumer tech, the next host of the AdTech expansion regime could well be the most popular of these AI tools: AI chatbots.…
Content type: Long Read
IntroductionHarnessing new digital technology to improve people’s health is now commonplace across the world. Countries and international organisations alike are devising digital health strategies and looking to emerging technology to help solve tricky problems within healthcare. At the same time, more and more start-ups and established tech companies are bringing out new, and at times innovative, digital tools aimed at health and wellbeing.
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: Long Read
IntroductionFor years PI has been documenting the market dominance and associated power of Big Tech over the digital economy, and the threats this poses to our privacy and wider rights.The digital economy is characterised by a handful of Big Tech companies that have established and maintained dominance over the digital market through opaque and exploitative practices. Big Tech exploits the data of those who use their platforms in ways which interfere with our privacy and wider rights. In…
Content type: Long Read
Table of contentsIntroductionWeighing the (potential) benefits with the risksPrivacy rights and the right to healthThe right to healthPrivacy, data-protection and health dataThe right to health in the digital contextWhy the drive for digitalImproved access to healthcarePatient empowerment and remote monitoringBut these same digital solutions carry magnified risks…More (and more connected) dataData leaks and breachesData sharing without informed consentProfiling and manipulationTools are not…
Content type: News & Analysis
Is the AI hype fading? Consumer products with AI assistant are disappointing across the board, Tech CEOs are struggling to give examples of use cases to justify spending billions into Graphics Processing Units (GPUs) and models training. Meanwhile, data protection concerns are still a far cry from having been addressed.
Yet, the believers remain. OpenAI's presentation of ChatGPT was reminiscent of the movie Her (with Scarlett Johannsen's voice even being replicated a la the movie), Google…
Content type: Examples
Companies like the Australian data services company Appen are part of a vast, hidden industry of low-paid workers in some of the globe's cheapest labour markets who label images, video, and text to provide the datasets used to train the algorithms that power new bots. Appen, which has 1 million contributors, includes among its clients Amazon, Microsoft, Google, and Meta. According to Grand View Research, the global data collection and labelling market was valued at $2.22 billion in 2022 and is…
Content type: Examples
Microsoft pitched the use of OpenAI's DALL-E software to support battlefield operations of the US Department of Defense, in seeming contravention of OpenAI's ban against working in the military field. One of the potential use cases proposed by Microsoft is to use DALL-E, OpenAI's image generation model, to train battle management systems. The efficacy, reliability and ethics of such a use of private AI are questioned by various experts. https://theintercept.com/2024/04/10/microsoft-openai-…
Content type: Examples
A student in Minneapolis was outed when their parents were contacted by school administrators when surveillance software found LGBTQ keywords in their writing on a school-supplied laptop. The risk of many more such cases is increasing as the use of edtech spread, fuelled by the pandemic, and legislation, lawsuits, and pressure campaigns push schools to implement anti-LGBTQ policies. Software such as Gaggle, which surveils school computers and student accounts, constantly monitors students…