Showing titles in Machine Theory & Artificial Intelligence

Digital strategist, technologist, doctoral researcher, acclaimed management thinker, and seasoned business executive Hamilton Mann emphasizes that the challenge of AI is in ensuring systems that exhibit integrity-led capabilities over the pursuit of mere general or super intelligence. Mann tackles the inadequacies of traditional ethical frameworks in handling the complexities of new AI technologies to make them trustworthy and reliable as they profoundly impact human lives.

Artificial intelligence and cybersecurity veteran Justin Hutchens delivers an incisive and penetrating look at how contemporary and future AI can and will be weaponized for malicious and adversarial purposes. In the book, you will explore the history of social engineering and social robotics, the psychology of deception, considerations of machine sentience and consciousness, and the history of how technology has been weaponized in the past.

Create consistent, high-quality content without burnout — even if you’re starting from scratch. The AI Content Machine is a beginner-friendly guide that breaks down how creators, entrepreneurs, and business owners can use artificial intelligence to plan, create, repurpose, and automate social media content efficiently.

AI for Beginners is your ultimate guide to understanding artificial intelligence in a clear, practical, and engaging way—without needing an advanced tech background. Whether you’re a complete novice or just looking for a straightforward approach, this audiobook will help you break through the complexity and start applying AI in real-world scenarios.

From New York Times bestselling author Dana Suskind, a timely, urgent guide to parenting in the age of artificial intelligence—and protecting what matters most in childhood As AI enters nurseries, playrooms, and classrooms, parents are being sold a “smart” childhood at every turn. This...

In today’s fast-moving AI-powered world, accuracy isn’t enough. Whether you’re building models for healthcare, finance, retail, or enterprise software, one thing is clear: if users and stakeholders can’t understand your AI, they won’t trust it. Explainable AI is your practical, results-driven guide to building transparent, trustworthy, and human-friendly AI systems. Packed with real-world examples and proven techniques, this book shows you how to turn black-box models into clear, interpretable tools that users can believe in—and regulators can approve.

Dieses Buch lädt Dich dazu ein, hinter die Fassade der Technik zu blicken. Es erklärt auf verständliche und unterhaltsame Weise, wie Maschinen lernen, warum Algorithmen Macht haben und was passiert, wenn Maschinen beginnen, kreativ oder moralisch zu handeln. Du erfährst, wie KI längst Jobs beeinflusst, Diagnosen verbessert, Musik komponiert oder Meinungen lenkt. Dabei geht es nicht nur um technische Faszination, sondern auch um Verantwortung, Werte und die Frage, ob wir die Kontrolle behalten, während wir immer mehr an sie abgeben.

Si te sientes abrumado por todo el ruido en torno a la inteligencia artificial, no estás solo. Pero quienes aprenden a usar herramientas como ChatGPT trabajan más rápido, ganan más y disfrutan de mayor libertad. Este audiolibro 2 en 1 para principiantes elimina la confusión y te ofrece pasos prácticos para transformar la IA en tu asistente personal, tu generador de ideas y tu aliado en productividad.

Every day, we use our computers to perform remarkable feats. A simple web search picks out a handful of relevant needles from the world's biggest haystack. Uploading a photo to Facebook transmits millions of pieces of information over numerous error-prone network links, yet somehow a perfect copy of the photo arrives intact. Without even knowing it, we use public-key cryptography to transmit secret information like credit card numbers, and we use digital signatures to verify the identity of the websites we visit.

We are in the midst of an unprecedented degree of technology-driven change at the same time that society faces challenges more complex than our organizations and we as individuals have been prepared to handle. Autonomous Transformation: Creating a More Human Future in the Era of Artificial Intelligence is for leaders who want to create a better future within this context of change and supplies a balance of historical and theoretical context with practical frameworks for beginning to create a more human future today.

Artificial intelligence is, as the name suggests, artificial and fundamentally different to human intelligence. Yet often the goal of AI is to fake human intelligence. This deceit has been there from the very beginning. We’ve been trying to fake it since Alan Turing answered the question ‘Can machines think?’ by proposing that machines pretend to be humans. Now we are starting to build AI that truly deceives us. Powerful AIs such as ChatGPT can convince us they are intelligent and blur the distinction between what is real and what is simulated.

Brought to you by Penguin. A reassuring and thought-provoking guide to all the big questions about AI and ethics Should robots ever be considered free? Will computers transcend human intelligence? And what can we do to make sure AI is safe? The artificial intelligence revolution has begun. Today...

Advances in Generative Artificial Intelligence (GAI) have created a new class of computer systems that exhibit astonishing proficiency on a wide variety of tasks with superhuman performance, producing novel text, images, music, and software by analyzing enormous collections of digitized information. Soon, these systems will provide expert medical care; offer legal advice; draft documents; write computer programs; tutor our children; and generate music and art. These advances will accelerate progress in science, art, and human knowledge, but they will also bring new dangers.

In ChatGPT for Fiction Writing, experienced author Sonny Saad lets you in on a game-changing secret: AI. Specifically, leveraging ChatGPT to become your tireless fiction writing partner.

Are you ready to tap into the power of Artificial Intelligence and start earning money? Make Money with AI is the ultimate step-by-step guide that shows you how to leverage cutting-edge AI technologies to boost your income and transform your financial future. Whether you’re a beginner or have some experience with AI, this book takes you through simple, actionable strategies that anyone can follow.

After billions of dollars and 50 years of effort, researchers are finally cracking the code on artificial intelligence. As society stands on the cusp of unprecedented change, Jerry Kaplan unpacks the latest advances in robotics, machine learning, and perception powering systems that rival or exceed human capabilities. Driverless cars, robotic helpers, and intelligent agents that promote our interests have the potential to usher in a new age of affluence and leisure.

In Scaling Responsible AI: From Enthusiasm to Execution, celebrated speaker, AI strategist, and tech visionary Noelle Russell delivers an exciting and fascinating new discussion of how to implement artificial intelligence responsibly, ethically, and profitably at your organization. Responsible AI promises immense opportunity, but unguided enthusiasm can unleash serious risks. Learn how to implement AI ethically and profitably at your company with Scaling Responsible AI.

Alive Inside: Unlock Your Leadership Advantage in the Age of AI delivers a groundbreaking leadership framework for reclaiming the distinctly human qualities—compassion, courage, intuition, presence, and storytelling—that keep leaders indispensable in our increasingly automated, AI-driven world. Blending historical narratives, neuroscience insights, and real-world case studies, Emmanuel Gobillot reveals seven practical principles, from authenticity over automation to stories over structures, that will transform listeners' leadership style and energize their organizational culture.

This audiobook addresses the new branch called cyberpsychology, which shows how there has been a change in the person-technology relationship, analyzing how new developments affect the day-to-day life of the person, as well as the mental health of its users. All this is backed by an extensive bibliography on the latest research conducted in this area.

A team of dedicated tech executives delivers a business-focused approach based on a deep and engaging exploration of the models and data used in causal AI. The book’s discussions include both accessible and understandable technical detail and business context and concepts that frame causal AI in familiar business settings.