Automated decision-making affects governmental decision-making processes in terms of accountability, explainability, and democratic power. For instance, deciding on acceptable error rates reflects important value judgments that can have far-reaching ethical impacts for citizens.

Error analysis is an important determinant for the design and deployment choices in algorithms. Public authorities, therefore, need to balance the risks and benefits to protect their citizens by making error analysis transparent and understandable.

Read more about it in the blog Mirthe Dankloff (PhD Candidate) wrote for the Civic AI Lab (02-09-2021):


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