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Machines that fail us

A podcast by The Human Error Project about the human rights implications of AI errors and failures and our future with artificial intelligence.

From educational institutions to healthcare professionals, from employers to governing bodies, artificial intelligence technologies and algorithms are increasingly used to assess and decide upon various aspects of our lives. However, the question arises: are these systems truly impartial and just in their judgments when they read humans and their behaviour? Our answer is that they are not. Despite their purported aim to enhance objectivity and efficiency, these technologies paradoxically harbor systemic biases and inaccuracies, particularly in the realm of human profiling. The Human Error Project has investigated how journalists, civil society organizations, and tech entrepreneurs in Europe make sense of AI errors and how they are negotiating and coexisting with the human rights implications of AI. With the aim of fostering debate between academia and the public, the "Machines That Fail Us" podcast series will host the voices of some of the most engaged individuals involved in the fight for a better future with artificial intelligence. 

"Machines That Fail Us is made possible thanks to a grant provided by the Swiss National Science Foundation (SNSF)’s "Agora" scheme. The podcast is produced by The Human Error Project Team. Dr. Philip Di Salvo, the main host, works as a researcher and lecturer in the HSG’s Institute for Media and Communications Management. 
 

Machines that fail us
podcasts
Machines That Fail Us #5: "The shape of AI to come"
Machines that fail us
podcasts
Machines That Fail Us #4 | Building different AI futures
Machines that fail us
podcasts
Machines That Fail Us #3 Errors and biases: tales of algorithmic discrimination
Machines that fail us
podcasts
Machines That Fail Us #2 | Following the AI beat: algorithms making the news
Machines that fail us
podcasts
Machines That Fail Us #1: Making sense of the human error of AI
Machines That Fail Us #5: "The shape of AI to come"
Season 1 / Episode #5
05.07.2024
Machines That Fail Us #5: "The shape of AI to come"
Tune in for the final episode with expert Frederike Kaltheuner. Discover insights on the future of AI and its impact on our lives.
Machines That Fail Us #4 | Building different AI futures
Season 1 / Episode #4
14.06.2024
Machines That Fail Us #4 | Building different AI futures
How could our AI future look different? We asked Prof. Payal Arora, a Professor of Inclusive AI Cultures at Utrecht University.
Machines That Fail Us #3 Errors and biases: tales of algorithmic discrimination
Season 1 / Episode #3
17.05.2024
Machines That Fail Us #3 Errors and biases: tales of algorithmic discrimination
How is the struggle for algorithmic justice evolving? Host Philip Di Salvo speaks with Angela Müller, Executive Director of AlgorithmWatch Switzerland.
Machines That Fail Us #2 | Following the AI beat: algorithms making the news
Season 1 / Episode #2
19.04.2024
Machines That Fail Us #2 | Following the AI beat: algorithms making the news
What’s the role of journalism in making sense of AI and its errors? Host Philip Di Salvo speaks with Melissa Heikkilä, MIT Technology Review.
Machines That Fail Us #1: Making sense of the human error of AI
Season 1 / Episode #1
21.03.2024
Machines That Fail Us #1: Making sense of the human error of AI
What are the errors that AI systems can make and what’s their impact on humans? "The Human Error Project" team discusses their research into AI.
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