People see more of their biases in algorithms.

Algorithmic bias occurs when algorithms incorporate biases in the human decisions on which they are trained. We find that people see more of their biases (e.g., age, gender, race) in the decisions of algorithms than in their own decisions. Research participants saw more bias in the decisions of algorithms trained on their decisions than in their own decisions, even when those decisions were the same and participants were incentivized to reveal their true beliefs. By contrast, participants saw as much bias in the decisions of algorithms trained on their decisions as in the decisions of other participants and algorithms trained on the decisions of other participants. Cognitive psychological processes and motivated reasoning help explain why people see more of their biases in algorithms. Research participants most susceptible to bias blind spot were most likely to see more bias in algorithms than self. Participants were also more likely to perceive algorithms than themselves to have been influenced by irrelevant biasing attributes (e.g., race) but not by relevant attributes (e.g., user reviews). Because participants saw more of their biases in algorithms than themselves, they were more likely to make debiasing corrections to decisions attributed to an algorithm than to themselves. Our findings show that bias is more readily perceived in algorithms than in self and suggest how to use algorithms to reveal and correct biased human decisions.

The Case for Heterogeneity in Metacognitive Appraisals of Biased Beliefs.

ACADEMIC ABSTRACT: Prominent theories of belief and metacognition make different predictions about how people evaluate their biased beliefs. These predictions reflect different assumptions about (a) people's conscious belief regulation goals and (b) the mechanisms and constraints underlying belief change. I argue that people exhibit heterogeneity in how they evaluate their biased beliefs. Sometimes people are blind to their biases, sometimes people acknowledge and condone them, and sometimes people resent them. The observation that people adopt a variety of "metacognitive positions" toward their beliefs provides insight into people's belief regulation goals as well as insight into way that belief formation is free and constrained. The way that people relate to their beliefs illuminates why they hold those beliefs. Identifying how someone thinks about their belief is useful for changing their mind. PUBLIC ABSTRACT: The same belief can be alternatively thought of as rational, careful, unfortunate, or an act of faith. These beliefs about one's beliefs are called "metacognitive positions." I review evidence that people hold at least four different metacognitive positions. For each position, I discuss what kinds of cognitive processes generated belief and what role people's values and preferences played in belief formation. We can learn a lot about someone's belief based on how they relate to that belief. Learning how someone relates to their belief is useful for identifying the best ways to try to change their mind.

Prevention of cardiorenal damage: importance of albuminuria.

Chronic kidney disease (CKD) is projected to become a leading global cause of death by 2040, and its early detection is critical for effective and timely management. The current definition of CKD identifies only advanced stages, when kidney injury has already destroyed >50% of functioning kidney mass as reflected by an estimated glomerular filtration rate <60 mL/min/1.73 m2 or a urinary albumin/creatinine ratio >six-fold higher than physiological levels (i.e. > 30 mg/g). An elevated urinary albumin-excretion rate is a known early predictor of future cardiovascular events. There is thus a 'blind spot' in the detection of CKD, when kidney injury is present but is undetectable by current diagnostic criteria, and no intervention is made before renal and cardiovascular damage occurs. The present review discusses the CKD 'blind spot' concept and how it may facilitate a holistic approach to CKD and cardiovascular disease prevention and implement the call for albuminuria screening implicit in current guidelines. Cardiorenal risk associated with albuminuria in the high-normal range, novel genetic and biochemical markers of elevated cardiorenal risk, and the role of heart and kidney protective drugs evaluated in recent clinical trials are also discussed. As albuminuria is a major risk factor for cardiovascular and renal disease, starting from levels not yet considered in the definition of CKD, the implementation of opportunistic or systematic albuminuria screening and therapy, possibly complemented with novel early biomarkers, has the potential to improve cardiorenal outcomes and mitigate the dismal 2040 projections for CKD and related cardiovascular burden.

Local field potential responses associated with perceptual filling-in at blind spot in macaque primary visual cortex.

To understand the neural mechanisms of perceptual filling-in at the blind spot (BS), we analyzed neural activity in the region representing the visual field corresponding to the BS (BS region) in the primary visual cortex (V1) of the macaque monkey. We inserted a linear array electrode into the BS region or surrounding region and recorded the multiunit activities (MUAs) and local field potential (LFP). We examined the responses of MUAs and LFP to a large visual stimulus that entirely covered the BS (surface stimuli) while the monkey performed a visual fixation task in either the monocular condition without receiving direct retinal input or the binocular condition receiving retinal information. We observed clear MUA responses in the deep layers within the BS region under monocular conditions, confirming previous reports that V1 neurons in the BS region are activated when perceptual filling-in occurs. Current source density analysis using LFP showed that MUA responses were mainly observed in layer 5. Although LFP responses were generally stronger in the binocular condition than in the monocular condition, a notable exception was observed in the BS region. LFP responses in the low-beta band in the superficial layers were stronger in the monocular condition than in the binocular condition. These results suggest that low-beta activity in the superficial layer is related to the occurrence of perceptual filling-in in the BS. The origin of this activity is considered to be feedback signals from the extrastriate areas to the V1.NEW & NOTEWORTHY Two characteristic activities were induced in the blind spot (BS) region in response to the stimulus, causing perceptual filling-in: 1) beta-band LFP responses in the superficial layers and 2) neuronal responses in the deep layers, mainly in layer 5. These data suggest that the feedback signal from the extrastriate areas to the BS region in V1 is involved in perceptual filling-in.

Radiologic blind spots in hip and pelvic radiographs.

PURPOSE: The purpose of our study was to identify the locations at which hip and pelvic fractures are commonly missed on radiographs. METHODS: A retrospective study was performed at four non-Level 1 trauma center emergency departments. IRB approval was obtained. All emergency department hip or pelvic radiographs with subsequent CT performed within 48 h were identified from 2017 to 2022. Reports for each radiograph and CT were scored for the presence or the absence of fracture in the following locations: ilium, sacrum, superior pubic ramus, inferior pubic ramus, pubis, acetabulum, subcapital femoral, femoral neck, greater trochanter, lesser trochanter, intertrochanteric, and subtrochanteric. The CT report was used as the gold standard. The false-negative radiography cases were reviewed on a PACS workstation to determine whether the case had an "unexpected miss" of a fracture, a subtle fracture, radiographically occult fracture, or exam was limited by artifact. The percentage of missed fractures at each location was calculated. RESULTS: Nine hundred seventy-five radiography cases with subsequent CT were identified. One hundred forty-six cases did not meet entry criteria; therefore, 829 cases were analyzed further. Seventy-four percent of patients were female with age of 74 ± 16 (mean ± standard deviation) years (range 1-103). Three hundred fifty-two cases had at least one fracture, and many cases had multiple fractures. There were 68 false-negative cases. The most commonly missed fractures by percentage were pubis, ilium, and greater trochanter. The most common unexpectedly missed fractures were greater trochanter and femoral subcapital. CONCLUSION: A careful systematic evaluation of hip and pelvic radiographs, with particular attention to the pubis, ilium, greater trochanter, and subcapital region, may improve radiographic fracture detection and decrease delays in diagnosis.

Highly accurate retinotopic maps of the physiological blind spot in human visual cortex.

The physiological blind spot is a naturally occurring scotoma corresponding with the optic disc in the retina of each eye. Even during monocular viewing, observers are usually oblivious to the scotoma, in part because the visual system extrapolates information from the surrounding area. Unfortunately, studying this visual field region with neuroimaging has proven difficult, as it occupies only a small part of retinotopic cortex. Here, we used functional magnetic resonance imaging and a novel data-driven method for mapping the retinotopic organization in and around the blind spot representation in V1. Our approach allowed for highly accurate reconstructions of the extent of an observer's blind spot, and out-performed conventional model-based analyses. This method opens exciting opportunities to study the plasticity of receptive fields after visual field loss, and our data add to evidence suggesting that the neural circuitry responsible for impressions of perceptual completion across the physiological blind spot most likely involves regions of extrastriate cortex-beyond V1.

Identification of gaze pattern and blind spots by upper gastrointestinal endoscopy using an eye-tracking technique.

BACKGROUND: The lesion detection rate of esophagogastroduodenoscopy (EGD) varies depending on the degree of experience of the endoscopist and anatomical blind spots. This study aimed to identify gaze patterns and blind spots by analyzing the endoscopist's gaze during real-time EGD. METHODS: Five endoscopists were enrolled in this study. The endoscopist's eye gaze tracked by an eye tracker was selected from the esophagogastric junction to the second portion of the duodenum without the esophagus during insertion and withdrawal, and then matched with photos. Gaze patterns were visualized as a gaze plot, blind spot detection as a heatmap, observation time (OT), fixation duration (FD), and FD-to-OT ratio. RESULTS: The mean OT and FD were 11.10 ± 11.14 min and 8.37 ± 9.95 min, respectively, and the FD-to-OT ratio was 72.5%. A total of 34.3% of the time was spent observing the antrum. When observing the body of the stomach, it took longer to observe the high body in the retroflexion view and the low-to-mid body in the forward view. CONCLUSIONS: It is necessary to minimize gaze distraction and observe the posterior wall in the retroflexion view. Our results suggest that eye-tracking techniques may be useful for future endoscopic training and education.

Multi-Sensor-Based Blind-Spot Reduction Technology and a Data-Logging Method Using a Gesture Recognition Algorithm Based on Micro E-Mobility in an IoT Environment.

Autonomous driving is evolving through the convergence of object recognition using multiple sensors in the fourth industrial revolution. In this paper, we propose a system that utilizes data logging to control the functions of micro e-mobility vehicles (MEVs) and to build a database for autonomous driving with a gesture recognition algorithm for use in an IoT environment. The proposed system uses multiple sensors installed in an MEV to log driving data as the vehicle operates and to recognize objects surrounding the MEV to remove blind spots. In addition, the proposed system is capable of multi-sensor control and data logging for the MEV based on a gesture recognition algorithm, and it can provide safety information to allow the system to address blind spots or unexpected situations by recognizing the appearances or gestures of pedestrians around the MEV. The proposed system can be applied and extended in various fields, such as 5G communication, autonomous driving, and AI, which are the core technologies of the fourth industrial revolution.

Blind-Spot Collision Detection System for Commercial Vehicles Using Multi Deep CNN Architecture.

Buses and heavy vehicles have more blind spots compared to cars and other road vehicles due to their large sizes. Therefore, accidents caused by these heavy vehicles are more fatal and result in severe injuries to other road users. These possible blind-spot collisions can be identified early using vision-based object detection approaches. Yet, the existing state-of-the-art vision-based object detection models rely heavily on a single feature descriptor for making decisions. In this research, the design of two convolutional neural networks (CNNs) based on high-level feature descriptors and their integration with faster R-CNN is proposed to detect blind-spot collisions for heavy vehicles. Moreover, a fusion approach is proposed to integrate two pre-trained networks (i.e., Resnet 50 and Resnet 101) for extracting high level features for blind-spot vehicle detection. The fusion of features significantly improves the performance of faster R-CNN and outperformed the existing state-of-the-art methods. Both approaches are validated on a self-recorded blind-spot vehicle detection dataset for buses and an online LISA dataset for vehicle detection. For both proposed approaches, a false detection rate (FDR) of 3.05% and 3.49% are obtained for the self recorded dataset, making these approaches suitable for real time applications.

In vivo functional localization of the temporal monocular crescent representation in human primary visual cortex.

The temporal monocular crescent (TMC) is the most peripheral portion of the visual field whose perception relies solely on input from the ipsilateral eye. According to a handful of post-mortem histological studies in humans and non-human primates, the TMC is represented visuotopically within the most anterior portion of the primary visual cortical area (V1). However, functional evidence of the TMC visuotopic representation in human visual cortex is rare, mostly due to the small size of the TMC representation (~6% of V1) and due to the technical challenges of stimulating the most peripheral portion of the visual field inside the MRI scanner. In this study, by taking advantage of custom-built MRI-compatible visual stimulation goggles with curved displays, we successfully stimulated the TMC region of the visual field in eight human subjects, half of them right-eye dominant, inside a 3 â€‹T MRI scanner. This enabled us to localize the representation of TMC, along with the blind spot representation (another visuotopic landmark in V1), in all volunteers, which match the expected spatial pattern based on prior anatomical studies. In all hemispheres, the TMC visuotopic representation was localized along the peripheral border of V1, within the most anterior portion of the calcarine sulcus, without any apparent extension into the second visual area (V2). We further demonstrate the reliability of this localization within/across experimental sessions, and consistency in the spatial location of TMC across individuals after accounting for inter-subject structural differences.

A Bluetooth-Low-Energy-Based Detection and Warning System for Vulnerable Road Users in the Blind Spot of Vehicles.

Blind spot road accidents are a frequently occurring problem. Every year, several deaths are caused by this phenomenon, even though a lot of money is invested in raising awareness and in the development of prevention systems. In this paper, a blind spot detection and warning system is proposed, relying on Received Signal Strength Indicator (RSSI) measurements and Bluetooth Low Energy (BLE) wireless communication. The received RSSI samples are threshold-filtered, after which a weighted average is computed with a sliding window filter. The technique is validated by simulations and measurements. Finally, the strength of the proposed system is demonstrated with real-life measurements.

Cognitive Biases in Emergency Physicians: A Pilot Study.

BACKGROUND: Cognitive bias can lead to systematic errors in judgment. OBJECTIVE: We sought to assess cognitive bias in emergency physicians and compare the results to a sample of nonphysicians. METHODS: Selected emergency physicians were invited to take the Rationality Quotient (RQ) test, which measures cognitive biases. Control subjects were nonphysicians selected randomly from individuals who had taken the RQ test contemporaneously. We compared RQ scores overall and by bias and assessed the relationship between self-reported statistical knowledge and familiarity with decision-making biases and RQ scores. RESULTS: Of 150 physicians invited, 95 (63%) completed the RQ test. There was less bias in physicians compared with control subjects (RQ scores were 51.1 for physicians and 43.3 for control subjects, p < 0.001). There was less bias among physicians for both bias blind spot (15 vs. 14.3, p < 0.001) and for representative bias (10.4 vs. 5.2, p < 0.001). Anchoring bias, confirmation bias, projection bias, and attribution error were not significantly different. Emergency physicians with greater self-reported statistical familiarity (either 6 of 7 or 7 of 7 on a Likert scale) had higher RQ scores by 7.7 points (95% confidence interval 3.1-12.3)-i.e., they were less biased. There was no association between self-reported knowledge of decision biases and RQ scores. CONCLUSION: Cognitive biases were common in this sample of emergency physicians, and physicians demonstrated less bias than control subjects. Variability was mostly attributed to 2 biases: bias blind spot and representative bias.

Metacognition in argument generation: the misperceived relationship between emotional investment and argument quality.

Overestimation of one's ability to argue their position on socio-political issues may partially underlie the current climate of political extremism in the U.S. Yet very little is known about what factors influence overestimation in argumentation of socio-political issues. Across three experiments, emotional investment substantially increased participants' overestimation. Potential confounding factors like topic complexity and familiarity were ruled out as alternative explanations (Experiments 1-3). Belief-based cues were established as a mechanism underlying the relationship between emotional investment and overestimation in a measurement-of-mediation (Experiment 2) and manipulation-of-mediator (Experiment 3) design. Representing a new bias blind spot, participants believed emotional investment helps them argue better than it helps others (Experiments 2 and 3); where in reality emotional investment harmed or had no effect on argument quality. These studies highlight misguided beliefs about emotional investment as a factor underlying metacognitive miscalibration in the context of socio-political issues.

Energy-Balancing Unequal Clustering Approach to Reduce the Blind Spot Problem in Wireless Sensor Networks (WSNs).

Wireless Sensor Networks (WSNs) have become a significant part of surveillance techniques. With unequal clustering approaches and multi-hop communication, WSNs can balance energy among the clusters and serve a wide monitoring area. Recent research has shown significant improvements in unequal clustering approaches by forming clusters prior to the selection of cluster heads. These improvements adopt different geometric fractals, such as the Sierpinski triangle, to divide the monitoring area into multiple clusters. However, performance of such approaches can be improved further by cognitive partitioning of the monitoring area instead of adopting random fractals. This paper proposes a novel clustering approach that partitions the monitoring area in a cognitive way for balancing the energy consumption. In addition, the proposed approach adopts a two-layered scrutinization process for the selection of cluster heads that ensures minimum energy consumption from the network. Furthermore, it reduces the blind spot problem that escalates once the nodes start dying. The proposed approach has been tested in terms of number of alive nodes per round, energy consumption of nodes and clusters, and distribution of alive nodes in the network. Results show a significant improvement in balancing the energy consumption among clusters and a reduction in the blind spot problem.

From A to Z(OOR): The Clinical Spectrum of Acute Zonal Occult Outer Retinopathy.

Acute idiopathic blind spot enlargement (AIBSE) is often caused by Acute Zonal Occult Outer Retinopathy (AZOOR), an outer retinal disease. We report two illustrative cases of AZOOR. The first one was a 21-year-old white female who presented with a scotoma and "shimmering lights" in her left eye. In the second case, a 73-year-old white female was referred for evaluation of a "bitemporal hemianopsia" that started years prior, with no clinical significant photopsias. To our knowledge, case two is the longest documented duration of bilateral, progressive, and chronic, idiopathic, enlargement of the blind spot (CIBSE) documented in the English language ophthalmic literature.

Psychopathy Checklist-Revised Use and Reporting Practices in Sexually Violent Predator Evaluations.

We surveyed evaluators who conduct sexually violent predator evaluations ( N = 95) regarding the frequency with which they use the Psychopathy Checklist-Revised (PCL-R), their rationale for use, and scoring practices. Findings suggest that evaluators use the PCL-R in sexually violent predator cases because of its perceived versatility, providing information about both mental disorder and risk. Several findings suggested gaps between research and routine practice. For example, relatively few evaluators reported providing the factor and facet scores that may be the strongest predictors of future offending, and many assessed the combination of PCL-R scores and sexual deviance using deviance measures (e.g., paraphilia diagnoses) that have not been examined in available studies. There was evidence of adversarial allegiance in PCL-R score interpretation, as well as a "bias blind spot" in PCL-R and other risk measure (Static-99R) scoring; evaluators tended to acknowledge the possibility of bias in other evaluators but not in themselves. Findings suggest the need for evaluators to carefully consider the extent to which their practices are consistent with emerging research and to be attuned to the possibility that working in adversarial settings may influence their scoring and interpretation practices.

Predictions of Visual Content across Eye Movements and Their Modulation by Inferred Information.

The brain is proposed to operate through probabilistic inference, testing and refining predictions about the world. Here, we search for neural activity compatible with the violation of active predictions, learned from the contingencies between actions and the consequent changes in sensory input. We focused on vision, where eye movements produce stimuli shifts that could, in principle, be predicted. We compared, in humans, error signals to saccade-contingent changes of veridical and inferred inputs by contrasting the electroencephalographic activity after saccades to a stimulus presented inside or outside the blind spot. We observed early (<250 ms) and late (>250 ms) error signals after stimulus change, indicating the violation of sensory and associative predictions, respectively. Remarkably, the late response was diminished for blind-spot trials. These results indicate that predictive signals occur across multiple levels of the visual hierarchy, based on generative models that differentiate between signals that originate from the outside world and those that are inferred.

Medical security and catastrophic health expenditures among households containing persons with disabilities in Korea: a longitudinal population-based study.

BACKGROUND: Although persons with disabilities need access to comprehensive and consistent healthcare services, a significant number of the poor with disabilities do not receive Medical-Aid due to the conditions of eligibility. We aimed to compare the financial burden of healthcare services between two groups of poor persons with disabilities: those not enrolled in Medical-Aid and Medical-Aid enrollees. METHODS: This study used the 1st-8th data (2008-2014 year) of Panel Survey of Employment for the Disabled (PSED) conducted by the Korea Employment Agency for the Disabled. We classified adults who did not exceed 100 % of the poverty level into two groups (N = 3,010). The first group consisted of enrollees in Medical-Aid (n = 1,259) and the second group comprised those not enrolled in Medical-Aid (n = 1,325). We applied generalized estimating equations (GEEs) to assess the independent effect of enrollment in Medical-Aid on catastrophic health expenditures (CHE). RESULTS: We found that about 4.2 % of the poor not enrolled in the Medical-Aid experienced CHE and the poor not enrolled in Medical-Aid were 2.1 times more likely to experience CHE than Medical-Aid enrollees after applying multivariate models adjusted for several covariates. CONCLUSIONS: Given the additional expenses for treatment and rehabilitation caused by disability-related health problems, persons with disabilities are more likely to face barriers to needed medical services. Thus, policy makers need to expand the number of people receiving Medical-Aid by loosening the strict criteria for those with disabilities.

Syphilitic Optic Neuropathy: Re-emerging Cases Over a 2-Year Period.

We report 7 cases of syphilitic optic neuropathy during a 2-year period. All patients were newly diagnosed with human immunodeficiency virus (HIV) infection. Six cases (86%) initially presented with swollen optic disc either unilaterally or bilaterally. Blind spot enlargement was the most common type of visual field defect. Final visual acuity of at least 20/25 was achieved together with visual field improvement and resolution of swollen optic disc. Optic nerve involvement can be the first manifestation of syphilis and HIV co-infection. Syphilitic optic neuropathy has an excellent prognosis if the disease diagnosed promptly and treated properly.

Precise visuotopic organization of the blind spot representation in primate V1.

The optic disk is a region of the retina consisting mainly of ganglion cell axons and blood vessels, which generates a visual scotoma known as the blind spot (BS). Information present in the surroundings of the BS can be used to complete the missing information. However, the neuronal mechanisms underlying these perceptual phenomena are poorly understood. We investigate the topography of the BS representation (BSR) in cortical area V1 of the capuchin monkey, using single and multiple electrodes. Receptive fields (RFs) of neurons inside the BSR were investigated using two distinct automatic bias-free mapping methods. The first method (local mapping) consisted of randomly flashing small white squares. For the second mapping method (global mapping), we used a single long bar that moved in one of eight directions. The latter stimulus was capable of eliciting neuronal activity inside the BSR, possibly attributable to long-range surround activity taking place outside the borders of the BSR. Importantly, we found that the neuronal activity inside the BSR is organized topographically in a manner similar to that found in other portions of V1. On average, the RFs inside the BS were larger than those outside. However, no differences in orientation or direction tuning were found between the two regions. We propose that area V1 exhibits a continuous functional topographic map, which is not interrupted in the BSR, as expected by the distribution of photoreceptors in the retina. Thus V1 topography is better described as "visuotopic" rather than as a discontinuous "retinotopic" map.