Disparate Vision

Force and vision resolvability for assimilating disparate sensory feedback

Force and vision sensors provide complementary information, yet they are fundamentally different sensing modalities. This implies that traditional sensor integration techniques that require common data representations are not appropriate for combining the feedback from these two disparate sensor. In this paper, we introduce the concept of vision and force sensor resolvability as a means of comp...

Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment

Automated data-driven decision making systems are increasingly being used to assist, or even replace humans in many settings. These systems function by learning from historical decisions, often taken by humans. In order to maximize the utility of these systems (or, classifiers), their training involves minimizing the errors (or, misclassifications) over the given historical data. However, it is...

Does mitigating ML's disparate impact require disparate treatment?

Following related work in law and policy, two notions of prejudice have come to shape the study of fairness in algorithmic decision-making. Algorithms exhibit disparate treatment if they formally treat people differently according to a protected characteristic, like race, or if they intentionally discriminate (even if via proxy variables). Algorithms exhibit disparate impact if they affect subg...

Disparate Impact Realism

Disparate hemoglobin results.

A 60-year-old woman, a Jehovah’s Witness, presented with an abdominal wall hematoma at the injection site of low molecular weight heparin. The hematoma was accompanied by a decrease in the hemoglobin concentration from 11.1 g/dL (6.9 mmol/L) [reference interval, 11.4–14.4 g/dL (7.1–9.2 mmol/L)] on the previous day to 7.8 g/dL (4.8 mmol/L). The patient rapidly destabilized and refused any human-...