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Responsible Robotics: Identifying and Addressing Issues of Ethics, Fairness, Accountability, Transparency, Privacy and Employment

Responsible Robotics: Identifying and Addressing Issues of Ethics, Fairness, Accountability, Transparency, Privacy and Employment PDF Author: Martim Brandão
Publisher: Frontiers Media SA
ISBN: 2889765733
Category : Technology & Engineering
Languages : en
Pages : 149

Book Description


Responsible Robotics: Identifying and Addressing Issues of Ethics, Fairness, Accountability, Transparency, Privacy and Employment

Responsible Robotics: Identifying and Addressing Issues of Ethics, Fairness, Accountability, Transparency, Privacy and Employment PDF Author: Martim Brandão
Publisher: Frontiers Media SA
ISBN: 2889765733
Category : Technology & Engineering
Languages : en
Pages : 149

Book Description


AI-Powered Productivity

AI-Powered Productivity PDF Author: Dr. Asma Asfour
Publisher: Asma Asfour
ISBN:
Category : Computers
Languages : en
Pages : 195

Book Description
This book, "AI-Powered Productivity," aims to provide a guide to understanding, utilizing AI and generative tools in various professional settings. The primary purpose of this book is to offer readers a deep dive into the concepts, tools, and practices that define the current AI landscape. From foundational principles to advanced applications, this book is structured to cater to both beginners and professionals looking to enhance their knowledge and skills in AI. This book is divided into nine chapters, each focusing on a specific aspect of AI and its practical applications: Chapter 1 introduces the basic concepts of AI, its impact on various sectors, and key factors driving its rapid advancement, along with an overview of generative AI tools. Chapter 2 delves into large language models like ChatGPT, Google Gemini, Claude, Microsoft's Turing NLG, and Facebook's BlenderBot, exploring their integration with multimodal technologies and their effects on professional productivity. Chapter 3 offers a practical guide to mastering LLM prompting and customization, including tutorials on crafting effective prompts and advanced techniques, as well as real-world examples of AI applications. Chapter 4 examines how AI can enhance individual productivity, focusing on professional and personal benefits, ethical use, and future trends. Chapter 5 addresses data-driven decision- making, covering data analysis techniques, AI in trend identification, consumer behavior analysis, strategic planning, and product development. Chapter 6 discusses strategic and ethical considerations of AI, including AI feasibility, tool selection, multimodal workflows, and best practices for ethical AI development and deployment. Chapter 7 highlights the role of AI in transforming training and professional development, covering structured training programs, continuous learning initiatives, and fostering a culture of innovation and experimentation. Chapter 8 provides a guide to successfully implementing AI in organizations, discussing team composition, collaborative approaches, iterative development processes, and strategic alignment for AI initiatives. Finally, Chapter 9 looks ahead to the future of work, preparing readers for the AI revolution by addressing training and education, career paths, common fears, and future trends in the workforce. The primary audience for the book is professionals seeking to enhance productivity and organizations or businesses. For professionals, the book targets individuals from various industries, reflecting its aim to reach a broad audience across different professional fields. It is designed for employees at all levels, offering valuable insights to both newcomers to AI and seasoned professionals. Covering a range of topics from foundational concepts to advanced applications, the book is particularly relevant for those interested in improving efficiency, with a strong emphasis on practical applications and productivity tools to optimize work processes. For organizations and businesses, the book serves as a valuable resource for decision-makers and managers, especially with chapters on data-driven decision-making, strategic considerations, and AI implementation. HR and training professionals will find the focus on AI in training and development beneficial for talent management, while IT and technology teams will appreciate the information on AI tools and concepts.

The Ethics Of Artificial Intelligence: Balancing Benefits and Risks

The Ethics Of Artificial Intelligence: Balancing Benefits and Risks PDF Author: Muzaffar Munshi
Publisher: Muzaffar Munshi
ISBN:
Category : Computers
Languages : en
Pages : 40

Book Description
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.

The Ethical Frontier of AI and Data Analysis

The Ethical Frontier of AI and Data Analysis PDF Author: Kumar, Rajeev
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 475

Book Description
In the advancing fields of artificial intelligence (AI) and data science, a pressing ethical dilemma arises. As technology continues its relentless march forward, ethical considerations within these domains become increasingly complex and critical. Bias in algorithms, lack of transparency, data privacy breaches, and the broader societal repercussions of AI applications are demanding urgent attention. This ethical quandary poses a formidable challenge for researchers, academics, and industry professionals alike, threatening the very foundation of responsible technological innovation. Navigating this ethical minefield requires a comprehensive understanding of the multifaceted issues at hand. The Ethical Frontier of AI and Data Analysis is an indispensable resource crafted to address the ethical challenges that define the future of AI and data science. Researchers and academics who find themselves at the forefront of this challenge are grappling with the evolving landscape of AI and data science ethics. Underscoring the need for this book is the current lack of clarity on ethical frameworks, bias mitigation strategies, and the broader societal implications, which hinder progress and leave a void in the discourse. As the demand for responsible AI solutions intensifies, the imperative for this reliable guide that consolidates, explores, and advances the dialogue on ethical considerations grows exponentially.

Navigating the Ethical Landscape of AI

Navigating the Ethical Landscape of AI PDF Author: Rosey Press
Publisher: Independently Published
ISBN:
Category : Computers
Languages : en
Pages : 0

Book Description
In today's rapidly advancing technological landscape, the integration of artificial intelligence (AI) into various industries has become increasingly prevalent. As professionals and innovators in the field of AI ethics and regulation, it is crucial to understand the importance of ethics in AI. Ethics play a fundamental role in ensuring that AI systems are developed and utilized in a responsible and ethical manner, with consideration for the potential impact on individuals, society, and the environment. Ethics in AI encompasses a wide range of considerations, including fairness, transparency, accountability, and privacy. By adhering to ethical principles, professionals and innovators can help to mitigate the risks associated with AI, such as bias, discrimination, and unintended consequences. Ethical AI practices also foster trust and credibility among stakeholders, including users, regulators, and the general public, which is essential for the long-term success and sustainability of AI technologies. One of the key reasons why ethics is important in AI is to ensure that AI systems are developed and deployed in a way that aligns with societal values and norms. By considering ethical implications early in the design and development process, professionals and innovators can help to prevent harm and promote the well-being of individuals and communities. Ethical AI practices also support compliance with regulations and standards, which are increasingly being implemented to govern the use of AI in various industries. Furthermore, ethical considerations in AI can help to address issues related to bias and discrimination, which have been a significant concern in the development and deployment of AI systems. By promoting fairness and inclusivity in AI technologies, professionals and innovators can help to reduce the negative impact of bias on marginalized groups and ensure that AI systems are designed to benefit all individuals equally. Ethical AI practices also encourage transparency and accountability, enabling stakeholders to understand how AI systems work and how decisions are made. In conclusion, understanding the importance of ethics in AI is essential for professionals and innovators working in the field of AI ethics and regulation. By prioritizing ethical considerations in the design, development, and deployment of AI systems, professionals can help to ensure that AI technologies are developed and utilized in a responsible and ethical manner. Ultimately, ethical AI practices not only promote trust and credibility among stakeholders but also help to address complex ethical challenges and mitigate the risks associated with AI technologies.

Artificial Intelligence

Artificial Intelligence PDF Author: Margaret A. Boden
Publisher: Oxford University Press
ISBN: 0191080071
Category : Computers
Languages : en
Pages : 191

Book Description
The applications of Artificial Intelligence lie all around us; in our homes, schools and offices, in our cinemas, in art galleries and - not least - on the Internet. The results of Artificial Intelligence have been invaluable to biologists, psychologists, and linguists in helping to understand the processes of memory, learning, and language from a fresh angle. As a concept, Artificial Intelligence has fuelled and sharpened the philosophical debates concerning the nature of the mind, intelligence, and the uniqueness of human beings. In this Very Short Introduction , Margaret A. Boden reviews the philosophical and technological challenges raised by Artificial Intelligence, considering whether programs could ever be really intelligent, creative or even conscious, and shows how the pursuit of Artificial Intelligence has helped us to appreciate how human and animal minds are possible. ABOUT THE SERIES: The Very Short Introductions series from Oxford University Press contains hundreds of titles in almost every subject area. These pocket-sized books are the perfect way to get ahead in a new subject quickly. Our expert authors combine facts, analysis, perspective, new ideas, and enthusiasm to make interesting and challenging topics highly readable.

Artificial Intelligence for a Better Future

Artificial Intelligence for a Better Future PDF Author: Bernd Carsten Stahl
Publisher: Springer Nature
ISBN: 3030699781
Category : Computers
Languages : en
Pages : 128

Book Description
This open access book proposes a novel approach to Artificial Intelligence (AI) ethics. AI offers many advantages: better and faster medical diagnoses, improved business processes and efficiency, and the automation of boring work. But undesirable and ethically problematic consequences are possible too: biases and discrimination, breaches of privacy and security, and societal distortions such as unemployment, economic exploitation and weakened democratic processes. There is even a prospect, ultimately, of super-intelligent machines replacing humans. The key question, then, is: how can we benefit from AI while addressing its ethical problems? This book presents an innovative answer to the question by presenting a different perspective on AI and its ethical consequences. Instead of looking at individual AI techniques, applications or ethical issues, we can understand AI as a system of ecosystems, consisting of numerous interdependent technologies, applications and stakeholders. Developing this idea, the book explores how AI ecosystems can be shaped to foster human flourishing. Drawing on rich empirical insights and detailed conceptual analysis, it suggests practical measures to ensure that AI is used to make the world a better place.

Artificial Intelligence in Healthcare

Artificial Intelligence in Healthcare PDF Author: Adam Bohr
Publisher: Academic Press
ISBN: 0128184396
Category : Computers
Languages : en
Pages : 385

Book Description
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

Artificial Intelligence in Society

Artificial Intelligence in Society PDF Author: OECD
Publisher: OECD Publishing
ISBN: 9264545190
Category :
Languages : en
Pages : 152

Book Description
The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think. Today, AI is transforming societies and economies. It promises to generate productivity gains, improve well-being and help address global challenges, such as climate change, resource scarcity and health crises.

Challenges in Large Language Model Development and AI Ethics

Challenges in Large Language Model Development and AI Ethics PDF Author: Gupta, Brij
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 521

Book Description
The development of large language models has resulted in artificial intelligence advancements promising transformations and benefits across various industries and sectors. However, this progress is not without its challenges. The scale and complexity of these models pose significant technical hurdles, including issues related to bias, transparency, and data privacy. As these models integrate into decision-making processes, ethical concerns about their societal impact, such as potential job displacement or harmful stereotype reinforcement, become more urgent. Addressing these challenges requires a collaborative effort from business owners, computer engineers, policymakers, and sociologists. Fostering effective research for solutions to address AI ethical challenges may ensure that large language model developments benefit society in a positive way. Challenges in Large Language Model Development and AI Ethics addresses complex ethical dilemmas and challenges of the development of large language models and artificial intelligence. It analyzes ethical considerations involved in the design and implementation of large language models, while exploring aspects like bias, accountability, privacy, and social impacts. This book covers topics such as law and policy, model architecture, and machine learning, and is a useful resource for computer engineers, sociologists, policymakers, business owners, academicians, researchers, and scientists.