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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…
April 19, 2024 -
“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…
March 22, 2024 -
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…
February 2, 2021 -
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…
November 20, 2020 -
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…
November 20, 2020 -
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,…
November 20, 2020
Recent Posts
- “Machines That Fail Us”, Episode 2: Following the AI beat: algorithms making the news
- “Machines That Fail Us”, Episode 1: Making sense of the human error of AI
- Civil Society’s Struggle Against Algorithmic Injustice in Europe
- There’s a Struggle over AI and Journalism Is at the Center
- Reporting AI Errors? How News Media Sensationalizes AI Fallacy in Human Profiling
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