While most of the debate is focused on AI principles, at Eticas we focus on practices and policies. We specialise in developing policy tools that allow governments to show leadership in tackling the challenges of the digital age.


We develop automation strategies, technology procurement guidelines, algorithmic registries, algorithmic leaflets, AI scorecards and any other tailored solution that contributes to helping the public sector make better choices while also building the incentives that will lead to the development of better AI solutions.


Eticas Foundation has developed the Observatory of Algorithms with Social Impact, or OASI. The Observatory’s objective is to better understand the risks and challenges posed by algorithms and machine learning processes. After publishing the Guide to Algorithmic Auditing, its methodology to audit algorithms, now Eticas brings together the algorithms used by governments and companies all around the world to shed light on their use and impact.

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Adversarial Audits

A process by which an independent third party examines the impact and, to the extent possible, the functioning of an algorithmic system in order to detect potential anomalies or practices that could be unfair or harmful towards protected groups or society as a whole.



What happens when data are inaccurate, incomplete our outdated?
In other words, what happens when Big Data becomes Bad Data?

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The coalition Action for Algorithmic Justice (AxJA) is created to challenge the lack of democratic control, transparency and accountability in the use and acquisition of automated decision-making systems and artificial intelligence in Spain.