Abstract
Can thicker descriptive and evaluative concepts in data analysis render richer results – or "fairness through awareness?" What correctives, cautions or constraints might there be for what happens when poor data informs algorithms that are planted like organizational seeds in the real world? This last panel will consider the social problems of profiling, stereotyping and civic notions of autonomy.