Listen and read

Step into an infinite world of stories

  • Listen and read as much as you want
  • Over 400 000+ titles
  • Bestsellers in 10+ Indian languages
  • Exclusive titles + Storytel Originals
  • Easy to cancel anytime
Subscribe now
Details page - Device banner - 894x1036

The Ethics of Artificial Intelligence: New Frontiers

Duration
1H 56min
Language
English
Format
Category

Non-Fiction

Artificial Intelligence (AI) is a transformative technology that has evolved from theoretical concepts into practical applications in various sectors. At its core, AI refers to the simulation of human intelligence in machines, enabling them to perform tasks such as learning, reasoning, and problem-solving. These machines are programmed to analyze data, recognize patterns, and make decisions with little or no human intervention. While AI is often associated with futuristic visions of robots and autonomous systems, it is already an integral part of our daily lives, from voice assistants like Siri to recommendation algorithms used by platforms like Netflix and Amazon.

The history of AI dates back to ancient times, with early concepts of artificial beings found in mythology and philosophical musings. However, the field of AI as we know it began to take shape in the mid-20th century, with the work of pioneers such as Alan Turing, who proposed the idea of a machine that could simulate any human intelligence. In 1956, the term "Artificial Intelligence" was coined at the Dartmouth Conference, marking the formal beginning of AI research. Since then, AI has gone through cycles of optimism, disappointment, and resurgence, fueled by advances in computer science, mathematics, and data availability.

Today, AI is classified into different categories, with two primary types being narrow AI and general AI. Narrow AI refers to systems designed to handle specific tasks, such as facial recognition, language translation, or playing chess. These systems excel in their designated tasks but are limited in their ability to perform functions outside of their programming. In contrast, general AI, still a theoretical concept, refers to machines that possess the capability to understand and reason across a wide range of tasks, much like humans. While narrow AI is already commonplace, general AI remains a subject of intense research and debate within the scientific community.

© 2025 Cammy Fetchens LLC (Audiobook): 9798318095047

Release date

Audiobook: 25 March 2025

Others also enjoyed ...

  1. Artificial Intelligence and Generative Ai for Beginners: A Comprehensive Introduction to the Fundamentals, Practical Applications, and Future Trends of AI Technologies Ben Rizer
  2. Azure OpenAI Service for Cloud Native Applications: Designing, Planning, and Implementing Generative AI Solutions Adrian Gonzalez Sanchez
  3. Learning from the Machines: Shaping Intelligence in a Digital World: Harnessing Algorithms to Drive the Next Wave of Innovation Evan Carter
  4. Edge AI: Transforming Data Processing and Decision-Making at the Edge May Sherry
  5. Demystifying LLM, AI Mathematics, and Hardware Infra: A comprehensive guide to understanding Large Language Models, AI Mathematics, and its Hardware Infrastructure Et Tu Code
  6. Artificial Intelligence in Healthcare: Revolutionizing Medicine Craig Dames
  7. AI Development for the Modern World: Innovations and Applications: Transforming Industries with Artificial Intelligence and Machine Learning Ava Brooks
  8. Cognitive Architectures: Exploring the Foundations, Theories, and Practical Applications of Human-Like Intelligence Systems in AI, Robotics, and Beyond May Sherry
  9. LLMOps: A Comprehensive Guide to Deploying, Managing, and Optimizing Large Language Models Et Tu Code
  10. Navigating Tomorrow: A Journey into the World of Autonomous Vehicles Chuck Sherman
  11. Cybernetics for Beginners: Understanding the Science of Systems and Control May Sherry
  12. The Artificial Intelligence: Explained Navigating the World of AI J Emanuel
  13. The Singularity Paradox: Balancing Innovation and Ethics in the Age of AI Valerie Vogue
  14. Quantum AI: Unleashing the Power of Quantum Computing in Artificial Intelligence James Henry
  15. Technological Evolution: Understanding the Advancements and Their Impacts (3 in 1) Zoey Fraisers
  16. AI as Author: Exploring the Future of Publishing Nathan Venture, D
  17. AI Development for the Modern World: Crafting Solutions for the Modern Era: Mastering the Art of Artificial Intelligence Innovation Rachel Adams
  18. Machine Learning Made Simple: A Practical Introduction: Building Intelligent Algorithms from Scratch Daniel Lee
  19. Generative AI for Beginners: Understanding Artificial Intelligence.: Unlocking the Matrix with GPT-4, LLMs, Deep Neural Networks, and Practical Machine Learning Alex Quant
  20. The Art of Machine Learning: Algorithms and Applications Craig Dames
  21. APIENS: FROM GESTURES AND SOUNDS TO DIGITAL TRANSCENDENCE Petr Just
  22. Neural Networks For Beginners: How to Build Intelligent Systems from Scratch Rayan Murray
  23. Chatbots and Conversational AI: Transforming Communication in the Digital Era Sam Green
  24. Machine Learning: Unraveling the Algorithms of Intelligence Chuck Sherman
  25. Modern AI Development: Strategies for Implementing Smart Technology Today Sutton Hayes
  26. Data Science and Machine Learning Demystified: Mastering Data Science and Machine Learning: Advanced Techniques and Applications Liam Stone
  27. Machine Learning with Python Guide for Beginners: A Beginner's Roadmap Robert Francis
  28. Internet of Things for Beginners: Comprehensive Guide to a Connected World Steve Abrams
  29. The Path to Singularity: How Technology Will Challenge the Future of Humanity J. Craig Wheeler
  30. The Art of Machine Learning: Bridging Human Intelligence and Automated Learning Evelyn Hartwell
  31. Large Language Model-Based Solutions: How to Deliver Value with Cost-Effective Generative AI Applications Shreyas Subramanian
  32. PHP: PHP Basics for Beginners Andy Vickler
  33. Quantum Machine Learning for Beginners: Exploring Quantum Machine Learning from Scratch Chuck Sherman
  34. Streaming Data Mesh: A Model for Optimizing Real-Time Data Services Hubert Dulay
  35. Data Analysis with Python: Unlock the Power of Data. Comprehensive Guide for Beginners Sam Campbell
  36. Decentralizing Finance: How DeFi, Digital Assets, and Distributed Ledger Technology Are Transforming Finance Kenneth Bok
  37. The Engineering Leader: Strategies for Scaling Teams and Yourself Cate Huston
  38. App Innovator's Guide: Mobile App Development for Android and iOS: Building Cross-Platform Solutions Lily Chang
  39. Software Development: Tools, Methodologies, and Best Practices for Building High-Quality Software Solutions Michael Bishop
  40. Sustainability in Software Engineering: Harnessing Eco-Efficient Techniques for Modern Development Steve Abrams
  41. SQL for Beginners: Building Strong Database Foundations: Your Essential Guide to Querying and Managing Databases Emily Harris
  42. Particle Physics: A Very Short Introduction: An Overview of Particle Physics Mark Hedges
  43. JavaScript Jumpstart: The Essential Guide for New Coders Jacob Thompson
  44. Object Oriented Programming with Python: Mastering the Fundamentals of Python and OOP. A Beginner's Guide. SAM CAMPBELL