Kirjahaku

Artificial Intelligence (AI) is revolutionizing industries, yet its rapid evolution presents unprecedented challenges in governance, ethics, and security. Auditing Artificial Intelligence is an essential guide for IT auditors, information security experts, and risk management professionals seeking to understand, evaluate, and mitigate AI-related risks.This book provides a structured framework for auditing AI systems, covering critical areas such as governance, compliance, algorithm transparency, ethical accountability, and system performance. With 24 insightful chapters, it explores topics including:· AI Governance & Ethics – Establishing frameworks to ensure fairness, accountability, and transparency in AI deployments.· Risk Management & Compliance – Addressing the legal and regulatory landscape, including GDPR, the EU AI Act, and ISO standards.· Bias & Trustworthiness – Evaluating AI decision-making to detect bias and ensure equitable outcomes.· Security & Continuous Monitoring – Safeguarding AI systems from adversarial attacks and ensuring operational consistency.· Model Performance & Explainability – Assessing AI outputs, refining accuracy, and ensuring alignment with business objectives.Designed for professionals tasked with assessing AI systems, this book combines practical methodologies, industry standards, and real-world audit questions to help organizations build responsible and resilient AI practices and assess associated risks. Whether you are assessing AI governance, monitoring AI-driven risks, or ensuring compliance with emerging regulations, this handbook provides the guidance you need to navigate and assess the complexities of AI systems with confidence.Stay ahead in your role and responsibility for assessing the rapidly evolving deployment and use of AI across the organization — equip yourself with the knowledge and tools to ensure its responsible, safe, approved, secure, and ethical use.

Artificial Intelligence (AI) is revolutionizing industries, yet its rapid evolution presents unprecedented challenges in governance, ethics, and security. Auditing Artificial Intelligence is an essential guide for IT auditors, information security experts, and risk management professionals seeking to understand, evaluate, and mitigate AI-related risks.This book provides a structured framework for auditing AI systems, covering critical areas such as governance, compliance, algorithm transparency, ethical accountability, and system performance. With 24 insightful chapters, it explores topics including:· AI Governance & Ethics – Establishing frameworks to ensure fairness, accountability, and transparency in AI deployments.· Risk Management & Compliance – Addressing the legal and regulatory landscape, including GDPR, the EU AI Act, and ISO standards.· Bias & Trustworthiness – Evaluating AI decision-making to detect bias and ensure equitable outcomes.· Security & Continuous Monitoring – Safeguarding AI systems from adversarial attacks and ensuring operational consistency.· Model Performance & Explainability – Assessing AI outputs, refining accuracy, and ensuring alignment with business objectives.Designed for professionals tasked with assessing AI systems, this book combines practical methodologies, industry standards, and real-world audit questions to help organizations build responsible and resilient AI practices and assess associated risks. Whether you are assessing AI governance, monitoring AI-driven risks, or ensuring compliance with emerging regulations, this handbook provides the guidance you need to navigate and assess the complexities of AI systems with confidence.Stay ahead in your role and responsibility for assessing the rapidly evolving deployment and use of AI across the organization — equip yourself with the knowledge and tools to ensure its responsible, safe, approved, secure, and ethical use.

Provides answers to key questions affecting the future of electronic data interchange (EDI) and its impact on the business community as a whole. This evolving technology is cheaper than fax, easier to use than electronic bulletin boards and faster than the postal services. It contains practical information and alerts the reader to the level and types of controls necessary to protect data handled through the EDI system interface.

An explanation of the basic principles of data This book explains the basic principles of data as building blocks of electronic evidential matter, which are used in a cyber forensics investigations. The entire text is written with no reference to a particular operation system or environment, thus it is applicable to all work environments, cyber investigation scenarios, and technologies. The text is written in a step-by-step manner, beginning with the elementary building blocks of data progressing upwards to the representation and storage of information. It inlcudes practical examples and illustrations throughout to guide the reader.