The promise of data, statistical models, and algorithms have led to advances in early cancer detection and anticipation of natural disasters. Because of the scalable nature of algorithms and technology, public entities and private corporations are increasingly relying on algorithms to provide services to citizens.

Although algorithmic advances transformed many fields, we’ve discovered a darker side of algorithms: race, gender and age discrimination, inequitable treatment, and a failure to deliver expected results.

At first glance, algorithms appear to have a neutral quality. Afterall, it’s mathematical and based on logic. However, algorithms have proven to be poorly designed and unaccountable, culminating in devastating consequences for the rights and welfare of citizens without regard to equality, fairness, transparency, and redress.

To better understand the risks and challenges of algorithms, machine learning processes and to shed some light on their use and impact, Eticas Foundation presents the Observatory of Algorithms with Social Impact, also known as OASI.

OASI gathers, classifies and makes algorithms searchable by impact, sector and location, and it will be regularly updated.

Is an algorithm missing in our observatory? Let us know!

Interested in our work?

You can collaborate with the project by sharing with us algorithms that are being implemented around you or by using the information in this directory to foster changes in your community.