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
Quick Quiz: When Generative AI is asked to identify gender based on professions does it:
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The Hidden Cost of Our Digital Lives: Understanding Data Pollution Our digital world comes with
Lawmaker or Lawbreaker? How FaceNet Got It Wrong Would you trust
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
