Ethics and governance of artificial intelligence for health: large multi-modal models. WHO guidance

Ethics and governance of artificial intelligence for health: large multi-modal models. WHO guidance PDF

Author: World Health Organization

Publisher: World Health Organization

Published: 2024-01-18

Total Pages: 98

ISBN-13: 9240084754

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Artificial Intelligence (AI) refers to the capability of algorithms integrated into systems and tools to learn from data so that they can perform automated tasks without explicit programming of every step by a human. Generative AI is a category of AI techniques in which algorithms are trained on data sets that can be used to generate new content, such as text, images or video. This guidance addresses one type of generative AI, large multi-modal models (LMMs), which can accept one or more type of data input and generate diverse outputs that are not limited to the type of data fed into the algorithm. It has been predicted that LMMs will have wide use and application in health care, scientific research, public health and drug development. LMMs are also known as “general-purpose foundation models”, although it is not yet proven whether LMMs can accomplish a wide range of tasks and purposes.

Ethics and governance of artificial intelligence for health

Ethics and governance of artificial intelligence for health PDF

Author:

Publisher: World Health Organization

Published: 2021-06-28

Total Pages: 165

ISBN-13: 9240029206

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This WHO Guidance document discusses ethical and governance issues as they arise in the use of artificial intelligence (AI) for health. It contains a set of principles, recommendations, and checklists for selected end-users. The target audience is Ministries of Health, AI developers, health care workers, and industry.

WHO consultation towards the development of guidance on ethics and governance of artificial intelligence for health

WHO consultation towards the development of guidance on ethics and governance of artificial intelligence for health PDF

Author:

Publisher: World Health Organization

Published: 2021-03-12

Total Pages: 37

ISBN-13: 9240012753

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The present document is the report of the first expert meeting, which was held 2–4 October 2019 at WHO in Geneva. Participants discussed current and potential artificial intelligence (AI) applications for global health in the context of existing frameworks and human rights standards. The participants considered the main challenges of ethics, governance and equitable access and discussed potential solutions. The expert meeting has established a foundation for the second meeting which was held on 5 and 6 March 2020 in Copenhagen, Denmark. The publication of the WHO guidance document on Ethics and governance of AI for health is envisaged for completion in 2021.

Research Handbook on Health, AI and the Law

Research Handbook on Health, AI and the Law PDF

Author: Barry Solaiman

Publisher: Edward Elgar Publishing

Published: 2024-07-05

Total Pages: 433

ISBN-13: 1802205659

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This is an open access title available under the terms of a CC BY-NC-ND 4.0 License. It is free to read, download and share on Elgaronline, thanks to generous funding support from Hamad Bin Khalifa University (HBKU). The Research Handbook on Health, AI and the Law explores the use of AI in healthcare, identifying the important laws and ethical issues that arise from its use. Adopting an international approach, it analyses the varying responses of multiple jurisdictions to the use of AI and examines the influence of major religious and secular ethical traditions.

Artificial Intelligence in Medical Imaging

Artificial Intelligence in Medical Imaging PDF

Author: Erik R. Ranschaert

Publisher: Springer

Published: 2019-01-29

Total Pages: 373

ISBN-13: 3319948784

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This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relating to the growing role of big data in radiology. Diverse real-life clinical applications of AI are then outlined for different body parts, demonstrating their ability to add value to daily radiology practices. The concluding section focuses on the impact of AI on radiology and the implications for radiologists, for example with respect to training. Written by radiologists and IT professionals, the book will be of high value for radiologists, medical/clinical physicists, IT specialists, and imaging informatics professionals.

For the Common Good

For the Common Good PDF

Author: Alex John London

Publisher: Oxford University Press

Published: 2021

Total Pages: 481

ISBN-13: 019753483X

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Alex John London defends a conception of the common good that grounds a moral imperative with two requirements. The first is to promote research that enables key social institutions to effectively, efficiently and equitably safeguard the basic interests of individuals. The second is to ensure that research is organized as a voluntary scheme of social cooperation that respects its various contributors' moral claim to be treated as free and equal. Connecting research to the goals of a just social order grounds a framework for assessing and managing research risk that reconciles these requirements and justifies key oversight practices in non-paternalistic terms. The result is a new understanding of research ethics that resolves coordination problems that threaten these goals and provides credible assurance that the requirements of this imperative are being met.--

The role of artificial intelligence in sexual and reproductive health and rights

The role of artificial intelligence in sexual and reproductive health and rights PDF

Author: World Health Organization

Publisher: World Health Organization

Published: 2024-03-15

Total Pages: 15

ISBN-13: 9240090703

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This technical brief provides an overview of the landscape surrounding the use of artificial intelligence (AI) in sexual and reproductive health and rights (SRHR), and highlights the related risks, implications and policy considerations. Considering the rapidly evolving nature of AI, this brief seeks to provide clarity in understanding how AI is being applied in SRHR and flag key issues to ensure AI is used effectively, inclusively and responsibly. This document targets implementers, policy-makers, technology developers, funding agencies, implementing partners and researchers working at the intersection of AI and SRHR and aims to facilitate joint understanding among these stakeholders.

Artificial Intelligence in Healthcare

Artificial Intelligence in Healthcare PDF

Author: Adam Bohr

Publisher: Academic Press

Published: 2020-06-21

Total Pages: 385

ISBN-13: 0128184396

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Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data

Unboxing Artificial Intelligence: 10 steps to protect human rights

Unboxing Artificial Intelligence: 10 steps to protect human rights PDF

Author: Council of Europe

Publisher: Council of Europe

Published: 2019-08-09

Total Pages: 29

ISBN-13:

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Artificial intelligence (AI) involves opportunities as well as risks; human rights should be strengthened by AI, not undermined. This Recommendation on AI and human rights provides guidance on the way in which the negative impact of AI systems on human rights can be prevented or mitigated, focusing on 10 key areas of action.