Better AI For All
Eticas Foundation protects people and the environment in AI processes, to build a world where tech is fair, auditable and safe to use. For all.
Let’s play!
Engineers!
For the week’s challenge, you must develop an AI system to .
Decide which woman victim of domestic violence should get protection.
Adversarial Audit of the VioGén System
Go →Predict the risk of an inmate committing crimes again in the future.
Automating (In)Justice? An adversarial audit of RisCanvi
Go →Build a content recommender system that always shows migrants as a threat.
Auditing Social Media
Portrayal of Migrants on YouTube
(In)Visibility of Political Content on Migration on TikTok
Go →Determine the cost of insurance based on people’s faces and expressions.
Invisible No More: The Impact of Facial Recognition on People with Disabilities
Adversarial audit of Zurich’s Azul insurance system and other commercial FR models
Go →Build a ride-hailing app that charges people more if they are poor.
Adversarial Audit of Ride-Hailing Platforms
Algorithmic compliance with competition, labor and consumer law in Spain
Go →Initiatives
Recent Publications
Lawmaker or Lawbreaker? How FaceNet Got It Wrong Would you trust
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Tech has helped throughout the years mitigate climate change, from solar and wind energy to
Sweden hosted the fourth ministerial meeting of the EU-US Trade and Technology Council (TTC) in
Period-tracking apps are part of what is known as Femtech, a growing industry which has
Tech regulation has struggled with enforcement for a long time. Drawing on our experience with
Should faces be used to make decisions on insurance premiums? This adversarial audit report looks
A tool designed to assess inmates' risk of recidivism should be robust and reliable. This
Our Collaborators
