Governments face the challenge of responding to the social and ethical implications of this technology. With a focus on Latin America, Brazil in particular, we discuss how regulators are confronting the risks posed…

The training and coding of AI systems, particularly generative ones, depend on the work of humans teaching machines how to think. This work includes content moderation and labeling, is often conducted under…

In the first season of “Machines That Fail Us”, our focus was to explore a fundamental question: what do AI errors reveal about their societal impact and our future with artificial intelligence?…

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…

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…

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…

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…

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…

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…