Unlock the ethical dimensions of AI with 'Beyond the Algorithm: AI, Security, Privacy, and Ethics' audiobook, a comprehensive guide empowering AI practitioners, IT professionals, and policymakers to navigate the complexities of artificial intelligence responsibly.

Overview

This audiobook is your ultimate guide to the world of artificial intelligence (AI) and machine learning (ML), designed to give you a deep understanding of their fundamental principles while highlighting the crucial aspects of security, ethics, and privacy. Whether you're an AI practitioner, IT professional, data scientist, security expert, policymaker, or student, the goal is to provide you with the knowledge and tools needed to develop, deploy, and manage AI and ML systems securely and responsibly.

Divided into various sections, each focusing on a specific aspect of AI, the audiobook starts by introducing the basic concepts of AI technologies. You'll get a comprehensive overview of their history, evolution, and different types, laying a solid foundation for a closer look at popular AI algorithms and large language models (LLMs), like the groundbreaking GPT-4.

Moving forward, the audiobook tackles the critical issue of security in AI systems head-on. It explores the importance of security and the challenges it brings, diving into threats, vulnerabilities, and strategies for risk assessment and management. From data security to model security, system infrastructure to secure development practices, you'll get a thorough understanding of how to keep AI systems safe and resilient.

Privacy and ethics are also key focuses of this guide. You'll delve into topics like bias, fairness, transparency, accountability, and data protection within AI systems. Moreover, the audiobook addresses the essential aspect of legal and regulatory compliance, providing an overview of relevant regulations and guidelines. Through real-world case studies and best practices, you'll learn how to ensure that your AI systems meet ethical and legal standards.

Coverage Includes

An overview of the history and development of AI, from the earliest pioneers in machine learning to current applications and how it might shape the future
Introduction to AI models and implementations, as well as examples of emerging AI trends
Examination of vulnerabilities, including insight into potential real-world threats, and best practices for ensuring a safe AI deployment
Discussion of how to balance accountability, privacy, and ethics with regulatory and legislative concerns with advancing AI technology
A critical perspective on regulatory obligations, and repercussions, of AI with copyright protection, patent rights, and other intellectual property dilemmas
An academic resource and guide for the evolving technical and intellectual challenges of AI
Leading figures in the field bring to life the ethical issues associated with AI through in-depth analysis and case studies in this comprehensive examination.