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Algorithm governance involves establishing rules and practices for creating and employing algorithms within AI technologies tailored for specific purposes. Unlike a mere charter or ethical guidelines, it encompasses comprehensive measures to guarantee the proper functioning of the algorithm and prevent issues such as technological discrimination and legal non-compliance. Similar to a law, effective algorithm governance requires the implementation of a judicial system to ensure continuous assessment and enforcement of compliance.
 
In this policy brief, we explore the foundational aspects of algorithm governance, initially applied to a specific use case and subsequently extended to diverse scenarios to assess scalability. The iterative and agile methodology employed by teams is crucial for adjusting the company's governance framework during deployment within the organization. This approach ensures the design of algorithms that prioritize inclusivity, respect for citizens, and environmental considerations. Moreover, by publicly communicating and sharing its governance principles, the company actively contributes to legislative debates, influencing the formulation of future laws that govern algorithms in a relevant and sustainable manner.