Algorithmic Bias In Medicine A Study Of Discrimination Against Poc In Healthcare Ai PDF Download
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Author | : Luis Ernst |
Publisher | : diplom.de |
Total Pages | : 31 |
Release | : 2023-07-10 |
Genre | : |
ISBN | : 3961164827 |
Download Algorithmic Bias in Medicine: A Study of Discrimination Against PoC in Healthcare AI Book in PDF, ePub and Kindle
In the 19th century, those controlling the steel industry amassed considerable fortunes. Subsequently, the 20th century witnessed oil as the principal resource for accumulating wealth. Presently, data, often referred to as the new oil, are among the most valuable assets. Seven of the world’s leading corporations, as measured by market value, were involved in data and artificial intelligence (AI) towards the end of 2019. This growth in Big Data and AI has spurred the fourth industrial revolution. Within this thesis, AI refers to the capacity of machines to execute tasks autonomously, based on algorithms, whilst adaptively responding to unfamiliar circumstances. As such, the thesis examines methods that empower computers to tackle problems that necessitate intelligence when resolved by humans. AI encompasses the study of intelligent problem-solving behaviour and the development of intelligent computer systems. Additionally, the emphasis here is placed on data-driven AI instead of rule-based AI. The central issue addressed in this thesis pertains to the discrimination faced by People of Colour (PoC), exacerbated by healthcare AI and algorithms. As detailed in the subsequent chapter, research has demonstrated that PoC are treated differently by medical technology; discrimination based on the algorithmic use of ethnic factors is a pervasive problem in hospitals.
Author | : Natasha H. Williams |
Publisher | : Springer Nature |
Total Pages | : 121 |
Release | : 2024-01-01 |
Genre | : Philosophy |
ISBN | : 303148262X |
Download Artificial Intelligence and Healthcare Book in PDF, ePub and Kindle
This book explores the ethical problems of algorithmic bias and its potential impact on populations that experience health disparities by examining the historical underpinnings of explicit and implicit bias, the influence of the social determinants of health, and the inclusion of racial and ethnic minorities in data. Over the last twenty-five years, the diagnosis and treatment of disease have advanced at breakneck speeds. Currently, we have technologies that have revolutionized the practice of medicine, such as telemedicine, precision medicine, big data, and AI. These technologies, especially AI, promise to improve the quality of patient care, lower health care costs, improve patient treatment outcomes, and decrease patient mortality. AI may also be a tool that reduces health disparities; however, algorithmic bias may impede its success. This book explores the risks of using AI in the context of health disparities. It is of interest to health services researchers, ethicists, policy analysts, social scientists, health disparities researchers, and AI policy makers.
Author | : Davide Cirillo |
Publisher | : Academic Press |
Total Pages | : 280 |
Release | : 2022-05-21 |
Genre | : Medical |
ISBN | : 0128213930 |
Download Sex and Gender Bias in Technology and Artificial Intelligence Book in PDF, ePub and Kindle
Sex and Gender Bias in Technology and Artificial Intelligence: Biomedicine and Healthcare Applications details the integration of sex and gender as critical factors in innovative technologies (artificial intelligence, digital medicine, natural language processing, robotics) for biomedicine and healthcare applications. By systematically reviewing existing scientific literature, a multidisciplinary group of international experts analyze diverse aspects of the complex relationship between sex and gender, health and technology, providing a perspective overview of the pressing need of an ethically-informed science. The reader is guided through the latest implementations and insights in technological areas of accelerated growth, putting forward the neglected and overlooked aspects of sex and gender in biomedical research and healthcare solutions that leverage artificial intelligence, biosensors, and personalized medicine approaches to predict and prevent disease outcomes. The reader comes away with a critical understanding of this fundamental issue for the sake of better future technologies and more effective clinical approaches. First comprehensive title addressing the topic of sex and gender biases and artificial intelligence applications to biomedical research and healthcare Co-published by the Women’s Brain Project, a leading non-profit organization in this area Guides the reader through important topics like the Generation of Clinical Data, Clinical Trials, Big Data Analytics, Digital Biomarkers, Natural Language Processing
Author | : Ruha Benjamin |
Publisher | : John Wiley & Sons |
Total Pages | : 172 |
Release | : 2019-07-09 |
Genre | : Social Science |
ISBN | : 1509526439 |
Download Race After Technology Book in PDF, ePub and Kindle
From everyday apps to complex algorithms, Ruha Benjamin cuts through tech-industry hype to understand how emerging technologies can reinforce White supremacy and deepen social inequity. Benjamin argues that automation, far from being a sinister story of racist programmers scheming on the dark web, has the potential to hide, speed up, and deepen discrimination while appearing neutral and even benevolent when compared to the racism of a previous era. Presenting the concept of the “New Jim Code,” she shows how a range of discriminatory designs encode inequity by explicitly amplifying racial hierarchies; by ignoring but thereby replicating social divisions; or by aiming to fix racial bias but ultimately doing quite the opposite. Moreover, she makes a compelling case for race itself as a kind of technology, designed to stratify and sanctify social injustice in the architecture of everyday life. This illuminating guide provides conceptual tools for decoding tech promises with sociologically informed skepticism. In doing so, it challenges us to question not only the technologies we are sold but also the ones we ourselves manufacture. Visit the book's free Discussion Guide here.
Author | : Safiya Umoja Noble |
Publisher | : NYU Press |
Total Pages | : 245 |
Release | : 2018-02-20 |
Genre | : Computers |
ISBN | : 1479837245 |
Download Algorithms of Oppression Book in PDF, ePub and Kindle
Acknowledgments -- Introduction: the power of algorithms -- A society, searching -- Searching for Black girls -- Searching for people and communities -- Searching for protections from search engines -- The future of knowledge in the public -- The future of information culture -- Conclusion: algorithms of oppression -- Epilogue -- Notes -- Bibliography -- Index -- About the author
Author | : Barry R. Furrow |
Publisher | : |
Total Pages | : 476 |
Release | : 1991 |
Genre | : Bioethics |
ISBN | : |
Download Bioethics Book in PDF, ePub and Kindle
Author | : World Intellectual Property Organization |
Publisher | : WIPO |
Total Pages | : 156 |
Release | : 2019-01-21 |
Genre | : Law |
ISBN | : 9280530070 |
Download WIPO Technology Trends 2019 - Artificial Intelligence Book in PDF, ePub and Kindle
The first report in a new flagship series, WIPO Technology Trends, aims to shed light on the trends in innovation in artificial intelligence since the field first developed in the 1950s.
Author | : UNESCO International Centre for Technical and Vocational Education and Training |
Publisher | : UNESCO Publishing |
Total Pages | : 56 |
Release | : 2021-04-02 |
Genre | : Political Science |
ISBN | : 9231004468 |
Download Understanding the impact of artificial intelligence on skills development Book in PDF, ePub and Kindle
Author | : Michael Kearns |
Publisher | : Oxford University Press |
Total Pages | : 288 |
Release | : 2019-10-04 |
Genre | : Computers |
ISBN | : 0190948221 |
Download The Ethical Algorithm Book in PDF, ePub and Kindle
Over the course of a generation, algorithms have gone from mathematical abstractions to powerful mediators of daily life. Algorithms have made our lives more efficient, more entertaining, and, sometimes, better informed. At the same time, complex algorithms are increasingly violating the basic rights of individual citizens. Allegedly anonymized datasets routinely leak our most sensitive personal information; statistical models for everything from mortgages to college admissions reflect racial and gender bias. Meanwhile, users manipulate algorithms to "game" search engines, spam filters, online reviewing services, and navigation apps. Understanding and improving the science behind the algorithms that run our lives is rapidly becoming one of the most pressing issues of this century. Traditional fixes, such as laws, regulations and watchdog groups, have proven woefully inadequate. Reporting from the cutting edge of scientific research, The Ethical Algorithm offers a new approach: a set of principled solutions based on the emerging and exciting science of socially aware algorithm design. Michael Kearns and Aaron Roth explain how we can better embed human principles into machine code - without halting the advance of data-driven scientific exploration. Weaving together innovative research with stories of citizens, scientists, and activists on the front lines, The Ethical Algorithm offers a compelling vision for a future, one in which we can better protect humans from the unintended impacts of algorithms while continuing to inspire wondrous advances in technology.
Author | : Institute of Medicine |
Publisher | : National Academies Press |
Total Pages | : 334 |
Release | : 2009-03-24 |
Genre | : Computers |
ISBN | : 0309124999 |
Download Beyond the HIPAA Privacy Rule Book in PDF, ePub and Kindle
In the realm of health care, privacy protections are needed to preserve patients' dignity and prevent possible harms. Ten years ago, to address these concerns as well as set guidelines for ethical health research, Congress called for a set of federal standards now known as the HIPAA Privacy Rule. In its 2009 report, Beyond the HIPAA Privacy Rule: Enhancing Privacy, Improving Health Through Research, the Institute of Medicine's Committee on Health Research and the Privacy of Health Information concludes that the HIPAA Privacy Rule does not protect privacy as well as it should, and that it impedes important health research.