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When machines fail us: discussing the human error of AI
Artificial intelligence is increasingly becoming a part of our daily lives, taking on more decisions and tasks. However, it is important to remember that this technology can be prone to different biases…
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“Machines That Fail Us”, Episode 5: The shape of AI to come
The “Machines That Fail Us” podcast series tried to make sense of why AI systems and algorithms are prone to errors and to problematic outcomes, analyzing what AI errors are and what…
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“Machines That Fail Us”, Episode 4: Building different AI futures
Starting with its fourth episode, the “Machines That Fail Us” podcast series tries to make sense of our future with artificial intelligence and of the way forward. So far, most of the…
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“Machines That Fail Us”, Episode 3: Errors and biases: tales of algorithmic discrimination
In the third episode of “Machines That Fail Us” we focus on how civil society organizations are dealing with issues of AI errors and algorithmic injustice in Europe and how they are…
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“Machines That Fail Us”, Episode 2: Following the AI beat: algorithms making the news
In the second episode of the “Machines That Fail Us” podcast series we discuss the role of journalism in making sense of artificial intelligence and how effectively the media is covering the…
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“Machines That Fail Us”, Episode 1: Making sense of the human error of AI
The Human Error Project team is delighted to announce the publication of “Machines That Fail Us”, a podcast series based on the research work of our project. With five episodes released monthly…
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The Politics of AI Ethics
AI ethics is a much-used buzzword in the discourse around the challenges and opportunities of artificial intelligence. Yet, there is a problem with AI ethics that only becomes visible when taking a…
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The Datafied Citizen and AI Error
Have you ever been worried – as you were passing through a border control – that your social media data would be scrutinized to determine if you could enter the country or…
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Accountable AI?
The computer says no. Why? The computer says so. One of the biggest challenges that we face today as individuals is represented by the fact that – in the majority of cases…
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Algorithmic Bias cannot be Fixed
The question about algorithmic bias is exploding. In 2018 Amazon scraped an AI recruiting tool because it had been trained mostly with male CV and taught itself bias against women. In 2019,…
