33 research outputs found

    POTs: Protective Optimization Technologies

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    Algorithmic fairness aims to address the economic, moral, social, and political impact that digital systems have on populations through solutions that can be applied by service providers. Fairness frameworks do so, in part, by mapping these problems to a narrow definition and assuming the service providers can be trusted to deploy countermeasures. Not surprisingly, these decisions limit fairness frameworks' ability to capture a variety of harms caused by systems. We characterize fairness limitations using concepts from requirements engineering and from social sciences. We show that the focus on algorithms' inputs and outputs misses harms that arise from systems interacting with the world; that the focus on bias and discrimination omits broader harms on populations and their environments; and that relying on service providers excludes scenarios where they are not cooperative or intentionally adversarial. We propose Protective Optimization Technologies (POTs). POTs provide means for affected parties to address the negative impacts of systems in the environment, expanding avenues for political contestation. POTs intervene from outside the system, do not require service providers to cooperate, and can serve to correct, shift, or expose harms that systems impose on populations and their environments. We illustrate the potential and limitations of POTs in two case studies: countering road congestion caused by traffic-beating applications, and recalibrating credit scoring for loan applicants.Comment: Appears in Conference on Fairness, Accountability, and Transparency (FAT* 2020). Bogdan Kulynych and Rebekah Overdorf contributed equally to this work. Version v1/v2 by Seda G\"urses, Rebekah Overdorf, and Ero Balsa was presented at HotPETS 2018 and at PiMLAI 201

    Upper Blepharoplasty

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    Upper blepharoplasty is one of the most commonly performed plastic surgical procedures. It can improve both form and function of a patient’s eyelids. The following chapter describes, in detail, the indications, preoperative markings, key intraoperative steps, and postoperative care of an upper blepharoplasty. This can be done in one’s office under local anesthesia, or under MAC or general anesthesia depending on comfort and preference of both the surgeon and patient

    Firearm injuries due to legal intervention in children and adolescents: a national analysis

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    Firearm injuries related to legal intervention have come under scrutiny because of recent events. The Kids' Inpatient Database (1997-2012) was searched for firearm injuries due to legal interventions (International Classification of Diseases, ninth revision, Clinical Modification E970) requiring inpatient admission in children aged <20 y. Cases were weighted to provide national estimates. The Brady Campaign criteria were used to identify lenient versus strict gun law states. Overall, 275 cases were identified, with a 7.5% mortality rate. Incidence peaked at 1.0 per 100,000 admissions in 2006, significantly increased from a low 0.2 per 100,000 admissions in 1997, P < 0.001. Patients were predominantly male (97%). African Americans (44%) represented the largest racial group, followed by Hispanics (30%) and Caucasians (20%). Mean age was 17.5 ± 2.08 y. Patients were insured by Medicaid (33%) or a private payer (24%); the remainder (43%) was uninsured. Admissions most frequently occurred at urban teaching hospitals (81%). Cases occurred most frequently in the Southern United States (44%), followed by the Western United States (35%). Most patients presented to non-children's hospitals (97%). Mean hospital admission cost was 27,507 ± 40,197 USD, whereas mean charges amounted to 75,905 ± 116,622 USD. Cases mostly occurred in lenient (56%) gun law states, whereas the remainder occurred in strict (41%) and neutral (3%) states. When analyzed by race, Caucasians (16%) had a significantly higher mortality rate when compared with African Americans (5%), P = 0.03. An analysis of this very specific injury mechanism demonstrates important findings, which are difficult to collect from conventional data sources. Future research will contribute to the objective analysis of this politically charged subject
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