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Association Eticas Research and Innovation
Externally auditing algorithms to protect people in AI processes
Barcelona
/
Spain
Solution Area:
Evidence, Design & Technology
Through external auditing, this team aims to reverse-engineer AI systems to demystify “black boxes” and expose bias. In the process, impacted communities are trained and empowered.
AI systems have been allowed to evolve and be implemented as “black boxes”, obscure processes that take magical, neutral decisions that should not be questioned. However, many have shown how algorithmic decision-making (ADM) is often biased, unfair, inefficient and a contributor to information and power asymmetries. Since 2021, Eticas has teamed up with civil society organizations to reverse-engineer ADMs in social services, criminal justice, insurance, social media and platform-based services to disrupt current practices.
