In this essay, I review the concept of color-blind racism and its application to the Obama phenomenon. I also revisit some of my past predictions for Obama's presidency and evaluate their accuracy halfway through his term. Finally, I offer suggestions for constructing a genuine social movement...
Drawing on these insights, we argue that greater political unity among people of color depends on a heightened sense of solidarity between assorted minoritized groups. Whether this solidarity is triggered, we claim, rests on the degree to which public discourse highlights shared wellsprings of ...
by learning an interpretable model locally around the prediction. We also propose a method to explain models by presenting representative individual predictions and their explanations in a non-redundant way, framing the task as a submodular
Although an explanation of a single prediction provides some understanding into the reliability of the classifier to the user, it is not sufficient to evaluate and assess trust in the model as a whole. We propose to give a global understanding of the model by explaining a set of individual in...
When using machine learning for medical diagnosis [6] or terrorism detection, for example, predictions cannot be acted upon on blind faith, as the consequences may be catastrophic. Apart from trusting individual predictions, there is also a need to evaluate the model as a whole before deploying ...
embeddings. Likewise for image classification, an in- terpretable representation may be a binary vector indicating the “presence” or “absence” of a contiguous patch of similar pixels (a super-pixel), while the classifier may represent the image as a tensor with three color channels per ...