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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…
August 8, 2024 -
“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…
July 8, 2024 -
“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…
June 14, 2024 -
“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…
May 17, 2024 -
“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
Recent Posts
- When machines fail us: discussing the human error of AI
- “Machines That Fail Us”, Episode 5: The shape of AI to come
- “Machines That Fail Us”, Episode 4: Building different AI futures
- The “Machines That Fail Us” conference is taking place at the University of St. Gallen on June 24th
- “Machines That Fail Us”, Episode 3: Errors and biases: tales of algorithmic discrimination
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