『AI Beginners Guide』のカバーアート

AI Beginners Guide

Dive Into Artificial Intelligence: Understand Its Basics, Explore Its History, and Discover Its Impact on Your Life Today and Tomorrow

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AI Beginners Guide

著者: Paul Frenken
ナレーター: Alexander Richardson
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Demystify Artificial Intelligence and see its impact in your life, effortlessly, with no technical background required! Do you find it challenging to comprehend AI without feeling overwhelmed by technical jargon? Are you eager to understand the ethical implications of AI and its effect on your daily life? Are you curious about how AI algorithms can reinforce societal biases and want clear, reliable answers? If you answered “yes” to any of these questions, you're not alone. Many adults like you seek to grasp the basics of AI and its relevance but struggle with complex information overload. Luckily, understanding AI is more accessible than you might think—especially when you dive into AI: Artificial Intelligence for the Beginner. Here’s just a glimpse of the eye-opening insights awaiting you in this essential guide:

• What artificial intelligence truly is, breaking down its concepts in layman's terms.

• Explore the several profound ways AI impacts daily life you haven’t noticed before.

• Gain clarity on the ethical implications of AI and how they affect societal standards.

• Learn how leading figures like Sam Altman and Demis Hassabis shape AI's future.

• A closer look at how major tech companies influence AI development in today’s world.

• Discover why AI needs standard regulation and how that affects growth and innovation.

• Unveil the potential AI-driven future scenarios, from dystopian to utopian visions.

• A comprehensive guide to identify and counteract AI algorithm biases in our systems.

• Practical insights and case studies illustrating AI deployments in various sectors.

• A comparison between AI and other industry giants, such as pharmaceuticals, to understand risks and benefits.

• How AI contributes to global inequality and steps to mitigate its effects.

• In-depth analysis of big data and its interplay with AI advancements.

• Make sense of the regulatory landscape concerning AI, with timely examples.

©2024 Paul Frenken (P)2025 Paul Frenken

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