A global perspective on AI The rise of AI and super-intelligent AI raises ethical issues. AI is the power behind Google’s search engine, enables social media sites to serve up targeted advertising, gives Alexa and Siri their voices, and enables OpenAI’s ChatGPT to produce written responses from just a few prompts by the user. It is also the technology enabling self-driving vehicles, predictive policing, and autonomous weapons that can kill without direct human intervention. All of these bring up complex ethical issues that are still unresolved and will continue to be the subject of ongoing debate. This book: Explores the complex topic of AI ethics in a cross-functional way; Enables understanding of the associated ethical challenges of AI technologies; Provides an up-to-date overview of the potential positive and negative outcomes of AI implementations; and Has been updated to reflect the ethical challenges of AI in 2024 and beyond, and the moral imperative of navigating this new terrain. This book presents a concrete approach to identifying appropriate ethical principles in AI solutions AI is much more than just a simple tool powering our smartphones or allowing us to ask Alexa about the latest cinema times. It is a technology that is, in very subtle but unmistakable ways, exerting an ever-increasing influence over our lives – and the more we use it, the more AI is altering our existence. This book presents a concrete approach to identifying appropriate ethical principles in AI solutions. There are untold how-to books on AI technology, replete with methods to improve and advance the statistics and algorithms of AI; however, the social, ethical and security impacts are often a secondary consideration – if they are discussed at all. This book explores the complex topic of AI ethics in a cross-functional way, alternating between theory and practice. Practical and recent events, and their associated challenges, are presented, such as the collateral effects of the COVID-19 pandemic on the application of AI technologies. The book also gives an up-to-date overview of the potential positive and negative outcomes of AI implementations together with an analysis of AI from an ethical perspective. Before you dive into a world populated with AI, read this book to understand the associated ethical challenges of AI technologies.

Following the success of the first edition, this book has been re-released to reflect the ISO/IEC 27001:2022 and ISO/IEC 27002:2022 updates. Ideal for information security managers, auditors, consultants and organisations preparing for ISO 27001:2022 certification, this book will help readers understand the requirements of an ISMS (information security management system) based on ISO 27001:2022. Similarly, for anyone involved in internal or external audits, the book includes the definitive requirements that auditors must address when certifying organisations to ISO 27001:2022. The auditing guidance covers what evidence an auditor should look for to satisfy themselves that the requirement has been met. This guidance is useful for internal auditors and consultants, as well as information security managers and lead implementers as a means of confirming that their implementation and evidence to support it will be sufficient to pass an audit. This guide is intended to be used by those involved in: Designing, implementing and/or maintaining an ISMS; Preparing for ISMS audits and assessments; or Undertaking both internal and third-party ISMS audits and assessments.

Recommended textbook for the Open University’s postgraduate information security course and the recommended text for all IBITGQ ISO 27001 courses In this updated edition, renowned ISO 27001/27002 experts Alan Calder and Steve Watkins: Discuss the ISO 27001/27002:2022 updates; Provide guidance on how to establish a strong IT governance system and an ISMS (information security management system) that complies with ISO 27001 and ISO 27002; Highlight why data protection and information security are vital in our ever-changing online and physical environments; Reflect on changes to international legislation, e.g. the GDPR (General Data Protection Regulation); and Review key topics such as risk assessment, asset management, controls, security, supplier relationships and compliance. Fully updated to align with ISO 27001/27002:2022 IT Governance – An international guide to data security and ISO 27001/ISO 27002, Eighth edition provides: Expert information security management and governance guidance based on international best practice; Guidance on how to protect and enhance your organisation with an ISO 27001:2022-compliant ISMS; and Discussion around the changes to international legislation, including ISO 27001:2022 and ISO 27002:2022. As cyber threats continue to increase in prevalence and ferocity, it is more important than ever to implement a secure ISMS to protect your organisation. Certifying your ISMS to ISO 27001 and ISO 27002 demonstrates to customers and stakeholders that your organisation is handling data securely.

A global perspective on AI The rise of AI and super-intelligent AI raises ethical issues. AI is the power behind Google's search engine, enables social media sites to serve up targeted advertising, gives Alexa and Siri their voices, and enables OpenAI's ChatGPT to produce written responses from just a few prompts by the user. It is also the technology enabling self-driving vehicles, predictive policing, and autonomous weapons that can kill without direct human intervention. All of these bring up complex ethical issues that are still unresolved and will continue to be the subject of ongoing debate. This book: Explores the complex topic of AI ethics in a cross-functional way; Enables understanding of the associated ethical challenges of AI technologies; Provides an up-to-date overview of the potential positive and negative outcomes of AI implementations; and Has been updated to reflect the ethical challenges of AI in 2024 and beyond, and the moral imperative of navigating this new terrain. This book presents a concrete approach to identifying appropriate ethical principles in AI solutions About the author: Dr Julie Mehan is semi-retired, but is still a professor at UMGC (University of Maryland Global College), where she teaches digital ethics, cyber terrorism, and information systems in organisations. Dr Mehan has been a career government service employee, a strategic consultant and an entrepreneur. She has led business operations, as well as IT governance and cyber-security-related services, including designing and leading whitehat and blackhat penetration testing exercises, certification and accreditation, systems security engineering process improvement, and cyber security strategic planning and programme management. She delivered cyber security and related privacy services to the US senior Department of Defense, federal government and commercial clients, working in Italy, Australia, Canada, Belgium, Germany and the US. Dr Mehan is particularly proud of her role as pro bono president of W2CW (Warrior to Cyber Warrior), a non-profit organisation dedicated to providing cost-free cyber security career transition training to veterans and wounded warriors returning from military campaigns.

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

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.

ITIL® 4 Essentials contains everything you need to know to pass the ITIL 4 Foundation Certificate, plus more. It covers practices and concepts that are not addressed as part of the Foundation syllabus, making it ideal for newly qualified practitioners. This second edition has been updated to align with amendments to the ITIL® 4 Foundation syllabus.