Generative Artificial Intelligence And Ethics Standards Guidelines And Best Practices

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Responsible AI

Author : CSIRO,Qinghua Lu,Liming Zhu,Jon Whittle,Xiwei Xu
Publisher : Addison-Wesley Professional
Page : 424 pages
File Size : 40,7 Mb
Release : 2023-12-08
Category : Computers
ISBN : 9780138073886

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Responsible AI by CSIRO,Qinghua Lu,Liming Zhu,Jon Whittle,Xiwei Xu Pdf

THE FIRST PRACTICAL GUIDE FOR OPERATIONALIZING RESPONSIBLE AI ̃FROM MUL TI°LEVEL GOVERNANCE MECHANISMS TO CONCRETE DESIGN PATTERNS AND SOFTWARE ENGINEERING TECHNIQUES. AI is solving real-world challenges and transforming industries. Yet, there are serious concerns about its ability to behave and make decisions in a responsible way. Operationalizing responsible AI is about providing concrete guidelines to a wide range of decisionmakers and technologists on how to govern, design, and build responsible AI systems. These include governance mechanisms at the industry, organizational, and team level; software engineering best practices; architecture styles and design patterns; system-level techniques connecting code with data and models; and trade-offs in design decisions. Responsible AI includes a set of practices that technologists (for example, technology-conversant decision-makers, software developers, and AI practitioners) can undertake to ensure the AI systems they develop or adopt are trustworthy throughout the entire lifecycle and can be trusted by those who use them. The book offers guidelines and best practices not just for the AI part of a system, but also for the much larger software infrastructure that typically wraps around the AI. First book of its kind to cover the topic of operationalizing responsible AI from the perspective of the entire software development life cycle. Concrete and actionable guidelines throughout the lifecycle of AI systems, including governance mechanisms, process best practices, design patterns, and system engineering techniques. Authors are leading experts in the areas of responsible technology, AI engineering, and software engineering. Reduce the risks of AI adoption, accelerate AI adoption in responsible ways, and translate ethical principles into products, consultancy, and policy impact to support the AI industry. Online repository of patterns, techniques, examples, and playbooks kept up-to-date by the authors. Real world case studies to demonstrate responsible AI in practice. Chart the course to responsible AI excellence, from governance to design, with actionable insights and engineering prowess found in this defi nitive guide.

Exploring the Ethical Implications of Generative AI

Author : Ara, Aftab,Ara, Affreen
Publisher : IGI Global
Page : 314 pages
File Size : 50,7 Mb
Release : 2024-04-04
Category : Computers
ISBN : 9798369315668

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Exploring the Ethical Implications of Generative AI by Ara, Aftab,Ara, Affreen Pdf

Generative Artificial Intelligence (AI), an ever-evolving technology, holds immense promise across various industries, from healthcare to content generation. However, its rapid advancement has also given rise to profound ethical concerns. Illicit black-market industries exploit generative AI for counterfeit imagery, and in educational settings, biases and misinformation perpetuate. These issues underscore the need to grapple with the risks accompanying generative AI integration. Exploring the Ethical Implications of Generative AI emerges as a wellspring of insight for discerning academic scholars. It sets the stage by acknowledging generative AI's multifaceted potential and its capacity to reshape industries. The book addresses these complex ethical concerns, offering a comprehensive analysis and providing a roadmap for responsible AI development and usage. Its intended audience spans business leaders, policymakers, scholars, and individuals passionate about the ethical dimensions of AI.

Trustworthy AI

Author : Beena Ammanath
Publisher : John Wiley & Sons
Page : 230 pages
File Size : 48,8 Mb
Release : 2022-03-22
Category : Computers
ISBN : 9781119867920

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Trustworthy AI by Beena Ammanath Pdf

An essential resource on artificial intelligence ethics for business leaders In Trustworthy AI, award-winning executive Beena Ammanath offers a practical approach for enterprise leaders to manage business risk in a world where AI is everywhere by understanding the qualities of trustworthy AI and the essential considerations for its ethical use within the organization and in the marketplace. The author draws from her extensive experience across different industries and sectors in data, analytics and AI, the latest research and case studies, and the pressing questions and concerns business leaders have about the ethics of AI. Filled with deep insights and actionable steps for enabling trust across the entire AI lifecycle, the book presents: In-depth investigations of the key characteristics of trustworthy AI, including transparency, fairness, reliability, privacy, safety, robustness, and more A close look at the potential pitfalls, challenges, and stakeholder concerns that impact trust in AI application Best practices, mechanisms, and governance considerations for embedding AI ethics in business processes and decision making Written to inform executives, managers, and other business leaders, Trustworthy AI breaks new ground as an essential resource for all organizations using AI.

The Ethics of Artificial Intelligence: Balancing Benefits and Risks

Author : Muzaffar Munshi
Publisher : Muzaffar Munshi
Page : 50 pages
File Size : 52,9 Mb
Release : 2023-05-13
Category : Computers
ISBN : 9798394408540

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The Ethics of Artificial Intelligence: Balancing Benefits and Risks by Muzaffar Munshi Pdf

This book explores the ethical concerns surrounding the development and deployment of artificial intelligence (AI) in modern society. It provides an in-depth analysis of the potential benefits and risks associated with AI, highlighting the importance of balancing these factors to ensure that AI is used ethically and responsibly. The book covers a wide range of topics related to AI ethics, including the definition of AI, ethical concerns surrounding AI, the importance of balancing benefits and risks, and potential unintended consequences or catastrophic outcomes. It also delves into specific ethical issues such as bias and discrimination in AI decision-making, privacy and security concerns, fairness and equity, and the regulation and governance of AI development and deployment. The book provides valuable insights into approaches to managing ethical concerns in AI, with case studies of successful implementation of ethical AI practices. It also outlines challenges and opportunities for balancing benefits and risks and discusses future directions for research and development in ethical AI. This book is an essential resource for policymakers, businesses, and individuals concerned about the ethical implications of AI. It provides a comprehensive overview of the current state of AI ethics and offers practical guidance for ensuring that AI is used ethically and responsibly.

Generative AI Security

Author : Ken Huang
Publisher : Springer Nature
Page : 367 pages
File Size : 50,6 Mb
Release : 2024-06-29
Category : Electronic
ISBN : 9783031542527

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Generative AI Security by Ken Huang Pdf

Responsible AI in the Age of Generative Models

Author : I. Almeida
Publisher : Now Next Later AI
Page : 302 pages
File Size : 49,8 Mb
Release : 2024-03-11
Category : Business & Economics
ISBN : 9780975642214

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Responsible AI in the Age of Generative Models by I. Almeida Pdf

In "Responsible AI in the Age of Generative Models: Governance, Ethics and Risk Management" we present a comprehensive guide to navigating the complex landscape of ethical AI development and deployment. As generative AI systems become increasingly powerful and ubiquitous, it is crucial to develop governance frameworks that mitigate potential risks while harnessing the technology's transformative potential. This book presents a rights-based approach, grounded in established human rights frameworks, to align AI systems with societal values and expectations. Divided into ten parts, the book covers a wide range of topics essential for responsible AI governance: Part I maps generative AI risks to specific human rights, while Part II presents a framework for institutionalizing rights-respecting AI practices throughout the development lifecycle. Part III delves into responsible data governance practices, and Part IV examines participatory approaches to data stewardship. Part V explores the roles and responsibilities of different organizational functions in operationalizing responsible AI, emphasizing the need for cross-functional collaboration. Transparency and algorithmic auditing are the focus of Part VI, followed by Part VII, which provides guidance on implementing effective multi-layered governance across the AI system lifecycle. Part VIII introduces maturity models for assessing an organization's responsible AI capabilities, and Part IX features an in-depth case study of Anthropic's innovative Constitutional AI approach. Finally, Part X analyzes emerging regulatory frameworks such as the EU AI Act and discusses the implications for businesses operating in multiple jurisdictions. "Responsible AI in the Age of Generative Models" equips readers with the knowledge, tools, and strategies needed to unlock the transformative potential of generative models while safeguarding human rights and promoting social justice. It is an essential resource for business leaders, policymakers, researchers, and anyone concerned about the future of AI governance. By embracing responsible AI as an imperative, we can work together to build a world where AI empowers and uplifts us all. This book is an invitation to engage in that critical conversation and take action towards a more equitable future.

AI Ethics Officer - The Comprehensive Guide

Author : VIRUTI SHIVAN
Publisher : Viruti Satyan Shivan
Page : 238 pages
File Size : 46,9 Mb
Release : 2024-06-29
Category : Science
ISBN : 8210379456XXX

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AI Ethics Officer - The Comprehensive Guide by VIRUTI SHIVAN Pdf

In an era where artificial intelligence reshapes every aspect of our lives, "AI Ethics Officer - The Comprehensive Guide" emerges as an indispensable manual for professionals aiming to pioneer ethical practices within the rapidly evolving tech landscape. This guide not only demystifies the complex ethical considerations surrounding AI but also equips readers with the practical skills and knowledge needed to implement and enforce ethical guidelines effectively. From unpacking the nuances of bias and privacy concerns to exploring the implications of AI in decision-making processes, this book is crafted to be your ally in fostering a culture of integrity and foresight in technology use. Notably, this guide stands out for its commitment to accessible and engaging content, deliberately excluding images and illustrations to focus purely on the power of its words and ideas, ensuring a seamless reading experience free from copyright distractions. As the digital age thrusts ethical considerations into the spotlight, this guide serves as a beacon for those tasked with navigating these uncharted waters. Whether you are an aspiring AI ethics officer, a policy maker, or simply an enthusiast of ethical technology, this book is tailored to provide you with a comprehensive understanding of the ethical landscape of AI. Through a blend of theoretical frameworks, real-world examples, and hypothetical scenarios, it invites readers to critically engage with the material, encouraging a deeper appreciation for the role of ethics in shaping the future of technology. Dive into "AI Ethics Officer - The Comprehensive Guide" and arm yourself with the insight and foresight needed to lead with integrity in the age of artificial intelligence.

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

Author : World Health Organization
Publisher : World Health Organization
Page : 98 pages
File Size : 44,5 Mb
Release : 2024-01-18
Category : Medical
ISBN : 9789240084759

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Ethics and governance of artificial intelligence for health: large multi-modal models. WHO guidance by World Health Organization Pdf

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.

AI for the Good

Author : Stefan H. Vieweg
Publisher : Springer Nature
Page : 259 pages
File Size : 52,6 Mb
Release : 2021-04-24
Category : Business & Economics
ISBN : 9783030669133

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AI for the Good by Stefan H. Vieweg Pdf

While technology advances at a high pace in the age of machine learning, there is a lack of clear intent and framing of acceptable ethical standards. This book brings together the complex topic of "good" technology in a cross-functional way, alternating between theory and practice.The authors address the ever-expanding discussion on Artificial Intelligence (AI) and ethics by providing an orientation. Pragmatic and recent issues are especially taken into account such as the collateral effects of the COVID19 pandemic. An up-to-date overview of digitization - already a very broad field in itself - is presented along with an analysis of the approaches of AI from an ethical perspective. Furthermore, concrete approaches to consider appropriate ethical principles in AI-based solutions are offered. The book will be appealing to academics, from humanities or business or technical disciplines, as well as practitioners who are looking for an introduction to the topic and an orientation with concrete questions and assistance.

Ethics and governance of artificial intelligence for health

Author : Anonim
Publisher : World Health Organization
Page : 165 pages
File Size : 55,6 Mb
Release : 2021-06-28
Category : Medical
ISBN : 9789240029200

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Ethics and governance of artificial intelligence for health by Anonim Pdf

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.

Towards a Code of Ethics for Artificial Intelligence

Author : Paula Boddington
Publisher : Springer
Page : 124 pages
File Size : 50,7 Mb
Release : 2017-11-17
Category : Computers
ISBN : 3319606476

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Towards a Code of Ethics for Artificial Intelligence by Paula Boddington Pdf

The author investigates how to produce realistic and workable ethical codes or regulations in this rapidly developing field to address the immediate and realistic longer-term issues facing us. She spells out the key ethical debates concisely, exposing all sides of the arguments, and addresses how codes of ethics or other regulations might feasibly be developed, looking for pitfalls and opportunities, drawing on lessons learned in other fields, and explaining key points of professional ethics. The book provides a useful resource for those aiming to address the ethical challenges of AI research in meaningful and practical ways.

The Ethics of Artificial Intelligence in Education

Author : Wayne Holmes,Kaśka Porayska-Pomsta
Publisher : Taylor & Francis
Page : 238 pages
File Size : 50,8 Mb
Release : 2022-08-11
Category : Education
ISBN : 9781000620702

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The Ethics of Artificial Intelligence in Education by Wayne Holmes,Kaśka Porayska-Pomsta Pdf

The Ethics of Artificial Intelligence in Education identifies and confronts key ethical issues generated over years of AI research, development, and deployment in learning contexts. Adaptive, automated, and data-driven education systems are increasingly being implemented in universities, schools, and corporate training worldwide, but the ethical consequences of engaging with these technologies remain unexplored. Featuring expert perspectives from inside and outside the AIED scholarly community, this book provides AI researchers, learning scientists, educational technologists, and others with questions, frameworks, guidelines, policies, and regulations to ensure the positive impact of artificial intelligence in learning.

Artificial Intelligence Valuation

Author : Roberto Moro-Visconti
Publisher : Springer Nature
Page : 710 pages
File Size : 48,6 Mb
Release : 2024-06-29
Category : Electronic
ISBN : 9783031536229

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Artificial Intelligence Valuation by Roberto Moro-Visconti Pdf

AI Ethics and Higher Education

Author : Erin Green,Roland Chia,Divya Singh
Publisher : Globethics.Net
Page : 326 pages
File Size : 52,5 Mb
Release : 2022-03-02
Category : Electronic
ISBN : 288931443X

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AI Ethics and Higher Education by Erin Green,Roland Chia,Divya Singh Pdf

Artificial intelligence (AI) is exerting unprecedented pressure on the global higher educational landscape in transforming recruitment processes, subverting traditional pedagogy, and creating new research and institutional opportunities. These technologies require contextual and global ethical analysis so that they may be developed and deployed in higher education in just and responsible ways. To-date, these efforts have been largely focused on small parts of the educational environments leaving most of the world out of an essential contribution. This volume acts as a corrective to this and contributes to the building of competencies in ethics education and to broader, global debates about how AI will transform various facets of our lives, not the least of which is higher education.