10 research outputs found
Emotion AI in Job Interviews: Injustice, Emotional Labor, Identity, and Privacy
No full textPeer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/198556/1/3715275.3732002.pd
AI Attitudes Among Marginalized Populations in the U.S.: Nonbinary, Transgender, and Disabled Individuals Report More Negative AI Attitudes
No full textAs artificial intelligence (AI) technologies become increasingly per- vasive, understanding public perceptions of AI is crucial for en- suring equitable adoption and impact. Attitudes toward AI, such as whether it is seen as helpful or harmful, may vary based on social identities and lived experiences. In this study, we conducted a survey (n = 742) including a representative U.S. sample and an oversample of gender minorities, racial minorities, and disabled individuals to examine how demographic factors shape AI attitudes. Our findings reveal that in the U.S. context, participants who are nonbinary, transgender, and/or women, and disabled participants, particularly those who are neurodivergent or have mental health conditions, report significantly more negative attitudes towards AI compared to majority groups. We argue that these disparities highlight a critical issue: negative AI attitudes among marginalized communities signals a continued failure to account for their needs and concerns in AI design and use. That marginalized Americans have more negative views towards AI should prompt reflection and critical examination of the prevalent rhetoric of AI’s purported inevitability and its framing as a universal social good.NSF award #2236674Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/197725/1/facct2025-final424.pdfSEL
The Expressive Power of Protecting Intimate Privacy: A Comparative Study of Legal and Platform Measures
No full textThe Chilling Effects of \u3ci\u3eDobbs\u3c/i\u3e
No full textThe Supreme Court’s evisceration of the federal constitutional right to abortion has raised the specter of criminal and civil liability for abortion providers and patients. Police and prosecutors have easy access to commercial reservoirs of intimate data. As individual accounts made clear in the wake of the Dobbs v. Jackson Women’s Health Organization decision, corporate surveillance of intimate life chilled expressive activities, such as searching for information about reproductive health and using period tracking apps. Health professionals did not feel safe to speak out about the impact of new abortion laws. Harassment and threats directed at abortion clinics and at people seeking abortion services ensured their silence. Evidence of chilling effects was anecdotal, yet empirically unproven. That is no longer the case.
This Article describes the results of the first empirical study of post-Dobbs chilling effects. Our study explores how view counts for Wikipedia articles on period tracking apps and Google search terms related to period tracking apps decreased after the widespread media coverage of the new legal, privacy, and personal risks that the Dobbs decision created for period tracking app users. This Article sets forth our study design, explores the results, and discusses the implications for lawmakers, courts, and advocates. Lawmakers can rely on our study to show that people are being deterred from accessing crucial information that could help them better understand their reproductive health. Privacy law enforcers can leverage our findings to show proof of harm for privacy violations and to show standing. This study goes a long way to providing the proof needed to justify strong intimate privacy protections
The securitisation of the United Kingdom's maritime infrastructure during the 'war on terror'
No full textThis thesis examines counter-terrorism efforts in relation to the United Kingdom's ports and harbours (its 'maritime infrastructure') in the context of the 'war on terror'. To do this the thesis utilises the Copenhagen School's securitisation theory as the analytical frameowrk through which a case study, focusing on developments in a five year period between 1 July 2004 and 30 June 2009 and utilising the cases of Felixstowe, Holyhead and Tilbury, is undertaken. The thesis argues that UK maritime infrastructure was securitised in the context of the macrosecuritisation of the 'civilised way of life', which were in a mutually reinforcing relationship. By reorienting emphasis towards the 'post-securitised environment' and on to examining what securitisations 'do' in practice, the thesis subsequently demonstrates the substantial impact of securitisation on the management of UK maritime infrastructure. More specifically it argues that a counter-terrorism security response was evident which constantly evolved, was layered and increasingly expansive in scope and that had a series of prominent, recurring features. The thread which ran through this response was the pursuit of increased power in relation to UK maritime infrastructure, undertaken by the British state and port owners in particular. The thesis concludes by noting how the key findings of the case study progressively demonstrate a greater level of complexity to the securitisation of UK maritime infrastructure than can at first be apparent
A machine learning approach to Structural Health Monitoring with a view towards wind turbines
No full textThe work of this thesis is centred around Structural Health Monitoring (SHM) and
is divided into three main parts.
The thesis starts by exploring di�erent architectures of auto-association. These are
evaluated in order to demonstrate the ability of nonlinear auto-association of neural
networks with one nonlinear hidden layer as it is of great interest in terms of reduced
computational complexity. It is shown that linear PCA lacks performance for novelty
detection. The novel key study which is revealed ampli�es that single hidden layer
auto-associators are not performing in a similar fashion to PCA.
The second part of this study concerns formulating pattern recognition algorithms for
SHM purposes which could be used in the wind energy sector as SHM regarding this
research �eld is still in an embryonic level compared to civil and aerospace engineering.
The purpose of this part is to investigate the e�ectiveness and performance of such
methods in structural damage detection. Experimental measurements such as high
frequency responses functions (FRFs) were extracted from a 9m WT blade throughout
a full-scale continuous fatigue test. A preliminary analysis of a model regression of
virtual SCADA data from an o�shore wind farm is also proposed using Gaussian
processes and neural network regression techniques.
The third part of this work introduces robust multivariate statistical methods into
SHM by inclusively revealing how the in
uence of environmental and operational
variation a�ects features that are sensitive to damage. The algorithms that are
described are the Minimum Covariance Determinant Estimator (MCD) and the Minimum Volume Enclosing Ellipsoid (MVEE). These robust outlier methods are
inclusive and in turn there is no need to pre-determine an undamaged condition
data set, o�ering an important advantage over other multivariate methodologies.
Two real life experimental applications to the Z24 bridge and to an aircraft wing
are analysed. Furthermore, with the usage of the robust measures, the data variable
correlation reveals linear or nonlinear connections
CLIVAR Exchanges - VAMOS: Joint Edition of the Newsletter of the Climate Variability and Predictability Project (CLIVAR) Exchanges and the CLIVAR Variability of the American Monsoon Systems Project (VAMOS)
No full textGlobal, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015
No full textBackground Non-fatal outcomes of disease and injury increasingly detract from the ability of the world’s population to live in full health, a trend largely attributable to an epidemiological transition in many countries from causes affecting children, to non-communicable diseases (NCDs) more common in adults. For the Global Burden of Diseases, Injuries, and Risk Factors Study 2015 (GBD 2015), we estimated the incidence, prevalence, and years lived with disability for diseases and injuries at the global, regional, and national scale over the period of 1990 to 2015.
Methods We estimated incidence and prevalence by age, sex, cause, year, and geography with a wide range of updated and standardised analytical procedures. Improvements from GBD 2013 included the addition of new data sources, updates to literature reviews for 85 causes, and the identifi cation and inclusion of additional studies published up to November, 2015, to expand the database used for estimation of non-fatal outcomes to 60 900 unique data sources. Prevalence and incidence by cause and sequelae were determined with DisMod-MR 2.1, an improved version of the DisMod-MR Bayesian meta-regression tool fi rst developed for GBD 2010 and GBD 2013. For some causes, we used alternative modelling strategies where the complexity of the disease was not suited to DisMod-MR 2.1 or where incidence and prevalence needed to be determined from other data. For GBD 2015 we created a summary indicator that combines measures of income per capita, educational attainment, and fertility (the Socio-demographic Index [SDI]) and used it to compare observed patterns of health loss to the expected pattern for countries or locations with similar SDI scores.
Findings We generated 9·3 billion estimates from the various combinations of prevalence, incidence, and YLDs for
causes, sequelae, and impairments by age, sex, geography, and year. In 2015, two causes had acute incidences in excess of 1 billion: upper respiratory infections (17·2 billion, 95% uncertainty interval [UI] 15·4–19·2 billion) and diarrhoeal diseases (2·39 billion, 2·30–2·50 billion). Eight causes of chronic disease and injury each affected more than 10% of the world’s population in 2015: permanent caries, tension-type headache, iron-defi ciency anaemia, age-related and other hearing loss, migraine, genital herpes, refraction and accommodation disorders, and ascariasis. The impairment that affected the greatest number of people in 2015 was anaemia, with 2·36 billion (2·35–2·37 billion) individuals affected. The second and third leading impairments by number of individuals aff ected were hearing loss and vision loss, respectively. Between 2005 and 2015, there was little change in the leading causes of years lived with disability (YLDs) on a global basis. NCDs accounted for 18 of the leading 20 causes of age-standardised YLDs on a global scale. Where rates were decreasing, the rate of decrease for YLDs was slower than that of years of life lost (YLLs) for nearly every cause included in our analysis. For low SDI geographies, Group 1 causes typically accounted for 20–30% of total disability, largely attributable to nutritional defi ciencies, malaria, neglected tropical diseases, HIV/AIDS, and tuberculosis. Lower back and neck pain was the leading global cause of disability in 2015 in most countries. The leading cause was sense organ disorders in 22 countries in Asia and Africa and one in central Latin America; diabetes in four countries in Oceania; HIV/AIDS in three southern sub-Saharan African countries; collective violence and legal intervention in two north African and Middle Eastern countries; iron-defi ciency anaemia in Somalia and Venezuela; depression in Uganda; onchoceriasis in Liberia; and other neglected tropical diseases in the Democratic Republic of the Congo.
Interpretation Ageing of the world’s population is increasing the number of people living with sequelae of diseases
and injuries. Shifts in the epidemiological profi le driven by socioeconomic change also contribute to the continued
increase in years lived with disability (YLDs) as well as the rate of increase in YLDs. Despite limitations imposed by gaps in data availability and the variable quality of the data available, the standardised and comprehensive approach of the GBD study provides opportunities to examine broad trends, compare those trends between countries or subnational geographies, benchmark against locations at similar stages of development, and gauge the strength or weakness of the estimates available
Global, regional, and national disability‐adjusted life years (DALYs) for 315 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990‐2015 : a systematic analysis for the Global Burden of Diseases, Injuries, and Risk Factors (GBD) 2015 Study
No full textBackground
Healthy life expectancy (HALE) and disability-adjusted life-years (DALYs) provide summary measures of health across geographies and time that can inform assessments of epidemiological patterns and health system performance, help to prioritise investments in research and development, and monitor progress toward the Sustainable Development Goals (SDGs). We aimed to provide updated HALE and DALYs for geographies worldwide and evaluate how disease burden changes with development.
Methods
We used results from the Global Burden of Diseases, Injuries, and Risk Factors Study 2015 (GBD 2015) for all-cause mortality, cause-specific mortality, and non-fatal disease burden to derive HALE and DALYs by sex for 195 countries and territories from 1990 to 2015. We calculated DALYs by summing years of life lost (YLLs) and years of life lived with disability (YLDs) for each geography, age group, sex, and year. We estimated HALE using the Sullivan method, which draws from age-specific death rates and YLDs per capita. We then assessed how observed levels of DALYs and HALE differed from expected trends calculated with the Socio-demographic Index (SDI), a composite indicator constructed from measures of income per capita, average years of schooling, and total fertility rate.
Findings
Total global DALYs remained largely unchanged from 1990 to 2015, with decreases in communicable, neonatal, maternal, and nutritional (Group 1) disease DALYs offset by increased DALYs due to non-communicable diseases (NCDs). Much of this epidemiological transition was caused by changes in population growth and ageing, but it was accelerated by widespread improvements in SDI that also correlated strongly with the increasing importance of NCDs. Both total DALYs and age-standardised DALY rates due to most Group 1 causes significantly decreased by 2015, and although total burden climbed for the majority of NCDs, age-standardised DALY rates due to NCDs declined. Nonetheless, age-standardised DALY rates due to several high-burden NCDs (including osteoarthritis, drug use disorders, depression, diabetes, congenital birth defects, and skin, oral, and sense organ diseases) either increased or remained unchanged, leading to increases in their relative ranking in many geographies. From 2005 to 2015, HALE at birth increased by an average of 2·9 years (95% uncertainty interval 2·9–3·0) for men and 3·5 years (3·4–3·7) for women, while HALE at age 65 years improved by 0·85 years (0·78–0·92) and 1·2 years (1·1–1·3), respectively. Rising SDI was associated with consistently higher HALE and a somewhat smaller proportion of life spent with functional health loss; however, rising SDI was related to increases in total disability. Many countries and territories in central America and eastern sub-Saharan Africa had increasingly lower rates of disease burden than expected given their SDI. At the same time, a subset of geographies recorded a growing gap between observed and expected levels of DALYs, a trend driven mainly by rising burden due to war, interpersonal violence, and various NCDs
Global, regional, and national disability-adjusted life-years (DALYs) for 333 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990-2016 : a systematic analysis for the Global Burden of Disease Study 2016
No full textBackground: Measurement of changes in health across locations is useful to compare and contrast changing epidemiological patterns against health system performance and identify specific needs for resource allocation in research, policy development, and programme decision making. Using the Global Burden of Diseases, Injuries, and Risk Factors Study 2016, we drew from two widely used summary measures to monitor such changes in population health: disability-adjusted life-years (DALYs) and healthy life expectancy (HALE). We used these measures to track trends and benchmark progress compared with expected trends on the basis of the Socio-demographic Index (SDI).
Methods: We used results from the Global Burden of Diseases, Injuries, and Risk Factors Study 2016 for all-cause mortality, cause-specific mortality, and non-fatal disease burden to derive HALE and DALYs by sex for 195 countries and territories from 1990 to 2016. We calculated DALYs by summing years of life lost and years of life lived with disability for each location, age group, sex, and year. We estimated HALE using age-specific death rates and years of life lived with disability per capita. We explored how DALYs and HALE differed from expected trends when compared with the SDI: the geometric mean of income per person, educational attainment in the population older than age 15 years, and total fertility rate.
Findings: The highest globally observed HALE at birth for both women and men was in Singapore, at 75.2 years (95% uncertainty interval 71.9-78.6) for females and 72.0 years (68.8-75.1) for males. The lowest for females was in the Central African Republic (45.6 years [42.0-49.5]) and for males was in Lesotho (41.5 years [39.0-44.0]). From 1990 to 2016, global HALE increased by an average of 6.24 years (5.97-6.48) for both sexes combined. Global HALE increased by 6.04 years (5.74-6.27) for males and 6.49 years (6.08-6.77) for females, whereas HALE at age 65 years increased by 1.78 years (1.61-1.93) for males and 1.96 years (1.69-2.13) for females. Total global DALYs remained largely unchanged from 1990 to 2016 (-2.3% [-5.9 to 0.9]), with decreases in communicable, maternal, neonatal, and nutritional (CMNN) disease DALYs offset by increased DALYs due to non-communicable diseases (NCDs). The exemplars, calculated as the five lowest ratios of observed to expected age-standardised DALY rates in 2016, were Nicaragua, Costa Rica, the Maldives, Peru, and Israel. The leading three causes of DALYs globally were ischaemic heart disease, cerebrovascular disease, and lower respiratory infections, comprising 16.1% of all DALYs. Total DALYs and age-standardised DALY rates due to most CMNN causes decreased from 1990 to 2016. Conversely, the total DALY burden rose for most NCDs; however, age-standardised DALY rates due to NCDs declined globally.
Interpretation: At a global level, DALYs and HALE continue to show improvements. At the same time, we observe that many populations are facing growing functional health loss. Rising SDI was associated with increases in cumulative years of life lived with disability and decreases in CMNN DALYs offset by increased NCD DALYs. Relative compression of morbidity highlights the importance of continued health interventions, which has changed in most locations in pace with the gross domestic product per person, education, and family planning. The analysis of DALYs and HALE and their relationship to SDI represents a robust framework with which to benchmark location-specific health performance. Country-specific drivers of disease burden, particularly for causes with higher-than-expected DALYs, should inform health policies, health system improvement initiatives, targeted prevention efforts, and development assistance for health, including financial and research investments for all countries, regardless of their level of sociodemographic development. The presence of countries that substantially outperform others suggests the need for increased scrutiny for proven examples of best practices, which can help to extend gains, whereas the presence of underperforming countries suggests the need for devotion of extra attention to health systems that need more robust support
