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Congresses and Conferences 

Conference «Machines that Fail Us»

"Machines that Fail Us": Building a Public debate about AI Errors, their Human Rights Implications, and our Democratic Futures.
Date

Mon. 24.06.2024

Time

10:00 - 18:00

Speaker

Various (see event description)

Location

SQUARE

Price

free

Calendar

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"Machines That Fail Us" brings together actors from academia, journalism, civil society, and the tech industry to discuss the impacts of AI failures, hallucinations, and errors. This event will gather critical voices of some of the most committed individuals working towards a better future with artificial intelligence. We invite you all to join us, registration is required.

AI technologies and algorithms are progressively employed across diverse sectors, spanning from educational institutions and healthcare professionals to employers and government agencies, for evaluating and deciding upon different facets of our lives. Yet, it begs the fundamental question: Do these systems truly exhibit impartiality and fairness when analysing individuals and their behaviour? Our stance is that they do not. Ironically, despite their professed aim of enhancing objectivity and effectiveness, these technologies contain inherent biases and inaccuracies, particularly in terms of human profiling. During the three years of "The Human Error Project", we examined how journalists, civil society organizations and tech entrepreneurs in Europe deal with AI errors and how they negotiate and coexist with the impact of AI on human rights. During this we will present our research results and work together with the audience on two workshops questioning how to build more sustainable AI futures.

The presentations between 2 p.m. and 5 p.m. will also be available as a livestream

Event schedule

  • 10:00: Welcome coffee
     
  • 10:30 – 11:00: Introduction by The Human Error Project team
     
  • 11:00 – 12:00: Parallel workshops
    • A: "AI regulation vs. innovation: the right question?"
    • B: "Can AI futures be sustainable?"
       
  • 12:00 - 12:30: Workshops results discussion
     
  • 12:30 – 2:00: Lunch break
     
  • 2:00 – 3:30: Keynote speech by Prof. Stefania Milan, Professor of Critical Data Studies at the University of Amsterdam
     
  • 3:30 - 3:45: Coffee break
     
  • 3:45 – 5:15: Expert panel with journalist Luca Zorloni (Wired), Ilia Siatitsa (Privacy International), and entrepreneur Lorna Goulden (Twinds Foundation)
     
  • 5:15 – 6:00 – Networking and apéro

The "Machines That Fail Us" event is funded by the Agora Scheme of the Swiss National Sciences Foundation (SNSF). The event is free, but we have limited capacity. Therefore we recommend to register soon:

Registration

Podcast "Machines That Fail Us"

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 #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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