인공지능

학습하고, 추론하며, 우리의 세계를 재편할 수 있는 지능형 기계를 통해 인류 문명의 다음 위대한 도약이 펼쳐지고 있습니다. 이 책들은 실용적 응용과 기술적 혁신부터 의식, 고용, 그리고 디지털 창조물과 함께하는 인류의 미래에 대한 깊은 질문에 이르기까지 인공지능의 놀라운 잠재력과 심오한 도전을 탐구합니다.

인공지능 도서 요약

The Deep Learning Revolution

저자: Terrence J. Sejnowski • 2018

The AI that works copies the brain. For decades it was a backwater. Then it won.

3.72

500+

🤖 Deep Learning 📜 History Of Ai 🧠 Computational Neuroscience 🎮 Reinforcement Learning 🌐 Unsupervised Learning

The Deep Learning Revolution

The AI that works copies the brain. For decades it was a backwater. Then it won.

저자: Terrence J. Sejnowski 2018 352 페이지

3.72

500+ 개의 평점

🤖 Deep Learning 📜 History Of Ai 🧠 Computational Neuroscience 🎮 Reinforcement Learning 🌐 Unsupervised Learning

Flybot

저자: Dennis E. Taylor • 2025

A physicist traces a robotic fly to a rogue AI orchestrating a bioterror attack.

4.04

4,000+

🤖 Rogue Ai 💻 Techno Thriller ✨ Emergent Consciousness 🕸️ Ai Manipulation 🧬 Bioterrorism

Flybot

A physicist traces a robotic fly to a rogue AI orchestrating a bioterror attack.

저자: Dennis E. Taylor 2025

4.04

4,000+ 개의 평점

🤖 Rogue Ai 💻 Techno Thriller ✨ Emergent Consciousness 🕸️ Ai Manipulation 🧬 Bioterrorism

Artificial Intelligence

저자: Neil Wilkins • 2019

The AI taking your job tomorrow does not exist. The fear is manufactured for profit.

3.18

🤖 Ai Skepticism 🔍 Technology Criticism 👁️ Surveillance Capitalism 🔒 Digital Privacy 💼 Future Of Work

Artificial Intelligence

The AI taking your job tomorrow does not exist. The fear is manufactured for profit.

저자: Neil Wilkins 2019 96 페이지

3.18

17 개의 평점

🤖 Ai Skepticism 🔍 Technology Criticism 👁️ Surveillance Capitalism 🔒 Digital Privacy 💼 Future Of Work

Practicing Trustworthy Machine Learning

저자: Yada Pruksachatkun • 2023

Privacy, fairness, explainability, robustness: the engineering guide for ML models that earn trust.

4.95

111

🤖 Responsible Ai ⚙️ Ml Engineering ⚖️ Model Fairness 🔍 Explainable Ai 🔒 Privacy-Preserving Ml

Practicing Trustworthy Machine Learning

Privacy, fairness, explainability, robustness: the engineering guide for ML models that earn trust.

저자: Yada Pruksachatkun 2023 300 페이지

4.95

111 개의 평점

🤖 Responsible Ai ⚙️ Ml Engineering ⚖️ Model Fairness 🔍 Explainable Ai 🔒 Privacy-Preserving Ml

Algorithms Are Not Enough

저자: Herbert L. Roitblat • 2020

Specialized AI thrives in boxes we design. A thinking machine must build its own.

4.00

🤖 Artificial General Intelligence 🧠 Cognitive Science ⚠️ Ai Skepticism 💡 Human Intelligence 🌌 Technological Singularity

Algorithms Are Not Enough

Specialized AI thrives in boxes we design. A thinking machine must build its own.

저자: Herbert L. Roitblat 2020 336 페이지

4.00

23 개의 평점

🤖 Artificial General Intelligence 🧠 Cognitive Science ⚠️ Ai Skepticism 💡 Human Intelligence 🌌 Technological Singularity

AI Value Creators

저자: Paul Zikopoulos • 2025

Most AI adopters stay users. Value creators build on proprietary data and governed models instead.

3.66

🏢 Enterprise AI 🔄 Digital Transformation 📊 Data Strategy 🛡️ AI Governance 🤝 Trustworthy AI

AI Value Creators

Most AI adopters stay users. Value creators build on proprietary data and governed models instead.

저자: Paul Zikopoulos 2025 297 페이지

3.66

44 개의 평점

🏢 Enterprise AI 🔄 Digital Transformation 📊 Data Strategy 🛡️ AI Governance 🤝 Trustworthy AI

Being There

저자: Andy Clark • 1996

The mind extends past the skull, looping through body and world. Brains alone cannot think.

4.14

217

🧠 Philosophy Of Mind 🔬 Cognitive Science 🏃 Embodied Cognition 🌐 Extended Mind 🔗 Connectionism

Being There

The mind extends past the skull, looping through body and world. Brains alone cannot think.

저자: Andy Clark 1996 292 페이지

4.14

217 개의 평점

🧠 Philosophy Of Mind 🔬 Cognitive Science 🏃 Embodied Cognition 🌐 Extended Mind 🔗 Connectionism

Future Skills

저자: Bernard Marr • 2022

Technology makes human skills more valuable: a curriculum for the workers machines cannot replace.

3.66

100

🤖 Future Of Work 📊 Data Literacy 🧠 Emotional Intelligence 🔍 Critical Thinking 🤝 Soft Skills

Future Skills

Technology makes human skills more valuable: a curriculum for the workers machines cannot replace.

저자: Bernard Marr 2022

3.66

100 개의 평점

🤖 Future Of Work 📊 Data Literacy 🧠 Emotional Intelligence 🔍 Critical Thinking 🤝 Soft Skills

The Age of Extraction

저자: Tim Wu • 2025

Tech platforms now extract wealth from everyone. History shows where that concentration leads.

3.89

1,000+

🏗️ Platform Economics ⚖️ Antitrust Policy 🔍 Big Tech Critique 💰 Extractive Capitalism 👁️ Attention Economy

The Age of Extraction

Tech platforms now extract wealth from everyone. History shows where that concentration leads.

저자: Tim Wu 2025 224 페이지

3.89

1,000+ 개의 평점

🏗️ Platform Economics ⚖️ Antitrust Policy 🔍 Big Tech Critique 💰 Extractive Capitalism 👁️ Attention Economy

A Giant Leap

저자: Robert M. Wachter • 2026

Generative AI learned to think clinically. Now all of American medicine is up for grabs.

4.15

279

🏥 Healthcare Ai 💻 Digital Medicine 🤖 Generative Ai ⚖️ Ai Ethics 🔄 Technology Adoption

A Giant Leap

Generative AI learned to think clinically. Now all of American medicine is up for grabs.

저자: Robert M. Wachter 2026 352 페이지

4.15

279 개의 평점

🏥 Healthcare Ai 💻 Digital Medicine 🤖 Generative Ai ⚖️ Ai Ethics 🔄 Technology Adoption

How to AI

저자: Christopher Mims • 2026

How to delegate the boring parts to AI without ever trusting the output.

3.77

111

📖 Ai Literacy 🤝 Ai Augmentation 🤖 Generative Ai 🏭 Ai Adoption 🧠 Human Centered Ai

How to AI

How to delegate the boring parts to AI without ever trusting the output.

저자: Christopher Mims 2026 256 페이지

3.77

111 개의 평점

📖 Ai Literacy 🤝 Ai Augmentation 🤖 Generative Ai 🏭 Ai Adoption 🧠 Human Centered Ai

Applied Artificial Intelligence

저자: Mariya Yao • 2018

Deploy AI that actually works: a playbook for data, talent, ethics, and the metrics that matter.

3.32

🏢 Enterprise Ai 🔄 Digital Transformation 🧹 Data Quality 📊 Data-Driven Culture ⚖️ Ai Ethics

Applied Artificial Intelligence

Deploy AI that actually works: a playbook for data, talent, ethics, and the metrics that matter.

저자: Mariya Yao 2018 227 페이지

3.32

93 개의 평점

🏢 Enterprise Ai 🔄 Digital Transformation 🧹 Data Quality 📊 Data-Driven Culture ⚖️ Ai Ethics

AI for Life

저자: Celia Quillian • 2025

AI for the life you actually live: meal plans, playdates, salary asks, and packing lists.

3.68

127

🤖 Generative Ai ✍️ Prompt Engineering ⚡ Personal Productivity 💡 Life Hacks 💻 Digital Literacy

AI for Life

AI for the life you actually live: meal plans, playdates, salary asks, and packing lists.

저자: Celia Quillian 2025 240 페이지

3.68

127 개의 평점

🤖 Generative Ai ✍️ Prompt Engineering ⚡ Personal Productivity 💡 Life Hacks 💻 Digital Literacy

Agentic Design Patterns

저자: Antonio Gulli • 2025

21 design patterns for AI agents that use tools, retain memory, and work together in production.

3.87

🤖 Ai Agents 🏗️ Software Architecture 🧩 Design Patterns ✍️ Prompt Engineering 🐝 Multi-Agent Systems

Agentic Design Patterns

21 design patterns for AI agents that use tools, retain memory, and work together in production.

저자: Antonio Gulli 2025 472 페이지

3.87

63 개의 평점

🤖 Ai Agents 🏗️ Software Architecture 🧩 Design Patterns ✍️ Prompt Engineering 🐝 Multi-Agent Systems

AI and Machine Learning for Coders

저자: Laurence Moroney • 2021

Turn your code into AI that runs everywhere: train, optimize, deploy with a single toolkit.

4.09

108

🤖 Machine Learning 🧠 Deep Learning 🔵 Tensorflow 👁️ Computer Vision 💬 Nlp

AI and Machine Learning for Coders

Turn your code into AI that runs everywhere: train, optimize, deploy with a single toolkit.

저자: Laurence Moroney 2021 390 페이지

4.09

108 개의 평점

🤖 Machine Learning 🧠 Deep Learning 🔵 Tensorflow 👁️ Computer Vision 💬 Nlp

How To Think About AI

저자: Richard Susskind • 2025

AI will match us by 2035. Our thinking hasn't caught up. The mental tools you need.

3.85

434

🤖 Artificial Intelligence 🛡️ Ai Safety 🏛️ Ai Governance 🏙️ Ai And Society 🏭 Future Of Work

How To Think About AI

AI will match us by 2035. Our thinking hasn't caught up. The mental tools you need.

저자: Richard Susskind 2025 224 페이지

3.85

434 개의 평점

🤖 Artificial Intelligence 🛡️ Ai Safety 🏛️ Ai Governance 🏙️ Ai And Society 🏭 Future Of Work

Machine Learning For Absolute Beginners

저자: Oliver Theobald • 2018

A plain English path from zero to a working model: the algorithms, data prep, and code.

3.96

500+

🤖 Machine Learning Basics 🐍 Python For Data Science 🧹 Data Preparation 🎯 Supervised Learning 🧠 Neural Networks

Machine Learning For Absolute Beginners

A plain English path from zero to a working model: the algorithms, data prep, and code.

저자: Oliver Theobald 2018 166 페이지

3.96

500+ 개의 평점

🤖 Machine Learning Basics 🐍 Python For Data Science 🧹 Data Preparation 🎯 Supervised Learning 🧠 Neural Networks

The Atomic Human

저자: Neil D. Lawrence • 2024

Bleeding, forgetting, doubting: these aren't bugs in the human system. They are the system.

3.41

197

🤖 Artificial Intelligence 🧠 Cognitive Science 🫂 What Makes Us Human 📡 Information Theory 👁️ Attention Economy

The Atomic Human

Bleeding, forgetting, doubting: these aren't bugs in the human system. They are the system.

저자: Neil D. Lawrence 2024 428 페이지

3.41

197 개의 평점

🤖 Artificial Intelligence 🧠 Cognitive Science 🫂 What Makes Us Human 📡 Information Theory 👁️ Attention Economy

The Digital Mindset

저자: Paul Leonardi • 2022

Thirty percent fluency in data and AI is enough to ask the right questions, lead, and collaborate.

3.69

500+

📈 Digital Transformation 📊 Data Literacy 💻 Technology Fluency 🤖 AI Collaboration 🌐 Remote Collaboration

The Digital Mindset

Thirty percent fluency in data and AI is enough to ask the right questions, lead, and collaborate.

저자: Paul Leonardi 2022 256 페이지

3.69

500+ 개의 평점

📈 Digital Transformation 📊 Data Literacy 💻 Technology Fluency 🤖 AI Collaboration 🌐 Remote Collaboration

ChatGPT for Beginners

저자: Felix Venture • 2024

ChatGPT's real power lies in how you ask. A four-part prompt framework makes it work.

4.08

🔧 Prompt Engineering 💬 Conversational AI 📚 AI Literacy 🆕 Beginner Guides ⚖️ AI Ethics

ChatGPT for Beginners

ChatGPT's real power lies in how you ask. A four-part prompt framework makes it work.

저자: Felix Venture 2024 232 페이지

4.08

12 개의 평점

🔧 Prompt Engineering 💬 Conversational AI 📚 AI Literacy 🆕 Beginner Guides ⚖️ AI Ethics

AI Strategy for Sales and Marketing

저자: Katie King • 2022

An 11-step framework for embedding AI into marketing, sales, and customer experience.

3.20

🤖 Ai In Business 📈 Ai In Marketing 🤝 Customer Experience 🔄 Digital Transformation ⚖️ Ai Ethics

AI Strategy for Sales and Marketing

An 11-step framework for embedding AI into marketing, sales, and customer experience.

저자: Katie King 2022 288 페이지

3.20

5 개의 평점

🤖 Ai In Business 📈 Ai In Marketing 🤝 Customer Experience 🔄 Digital Transformation ⚖️ Ai Ethics

Some Future Day

저자: Marc Beckman • 2025

AI is the catalyst that makes our technologies work together, accelerating every field overnight.

3.50

🏥 Ai In Healthcare ⚔️ Ai In Warfare 📚 Ai In Education 🎨 Ai And Creativity 🕵️ Deepfakes And Trust

Some Future Day

AI is the catalyst that makes our technologies work together, accelerating every field overnight.

저자: Marc Beckman 2025 327 페이지

3.50

46 개의 평점

🏥 Ai In Healthcare ⚔️ Ai In Warfare 📚 Ai In Education 🎨 Ai And Creativity 🕵️ Deepfakes And Trust

The Mind's Mirror

저자: Daniela Rus • 2024

AI extends every human capability, including the worst of us. A framework for the double edge.

3.59

110

📊 Ai Strategy ⚖️ Ai Ethics 💼 Future Of Work 🤖 Machine Learning 🏛️ Technology Governance

The Mind's Mirror

AI extends every human capability, including the worst of us. A framework for the double edge.

저자: Daniela Rus 2024 288 페이지

3.59

110 개의 평점

📊 Ai Strategy ⚖️ Ai Ethics 💼 Future Of Work 🤖 Machine Learning 🏛️ Technology Governance

Why AI Undermines Democracy and What To Do About It

저자: Mark Coeckelbergh • 2024

AI dismantles democracy not by malice but by logic. The philosophical fightback begins here.

3.26

🏛️ Political Philosophy ⚖️ Technology Ethics 🗳️ Democratic Theory 🤖 Ai Governance ⚡ Power And Technology

Why AI Undermines Democracy and What To Do About It

AI dismantles democracy not by malice but by logic. The philosophical fightback begins here.

저자: Mark Coeckelbergh 2024 144 페이지

3.26

54 개의 평점

🏛️ Political Philosophy ⚖️ Technology Ethics 🗳️ Democratic Theory 🤖 Ai Governance ⚡ Power And Technology

How Algorithms Create and Prevent Fake News

저자: Noah Giansiracusa • 2021

Algorithms chase engagement, not truth. Lies outperform facts every time, and platforms know it.

3.25

⚖️ Algorithmic Bias 📰 Online Misinformation 🎭 Deepfakes 🤖 Ai Ethics 🏛️ Tech Accountability

How Algorithms Create and Prevent Fake News

Algorithms chase engagement, not truth. Lies outperform facts every time, and platforms know it.

저자: Noah Giansiracusa 2021 248 페이지

3.25

20 개의 평점

⚖️ Algorithmic Bias 📰 Online Misinformation 🎭 Deepfakes 🤖 Ai Ethics 🏛️ Tech Accountability

The Loop

저자: Jacob Ward • 2022

Algorithms have learned your blind spots. Now they decide while you feel in control.

3.76

500+

⚖️ Tech Ethics 🏛️ Ai Governance 🧠 Cognitive Biases 🎯 Behavioral Design 👁️ Attention Economy

The Loop

Algorithms have learned your blind spots. Now they decide while you feel in control.

저자: Jacob Ward 2022 315 페이지

3.76

500+ 개의 평점

⚖️ Tech Ethics 🏛️ Ai Governance 🧠 Cognitive Biases 🎯 Behavioral Design 👁️ Attention Economy

The Efficiency Paradox

저자: Edward Tenner • 2018

How efficiency backfires: eroding skill, narrowing science, and engineering luck out of life.

3.27

311

🔍 Efficiency Critique 🏪 Platform Economy 🧭 Digital Deskilling 🤖 Techno-Skepticism 🌊 Information Overload

The Efficiency Paradox

How efficiency backfires: eroding skill, narrowing science, and engineering luck out of life.

저자: Edward Tenner 2018 320 페이지

3.27

311 개의 평점

🔍 Efficiency Critique 🏪 Platform Economy 🧭 Digital Deskilling 🤖 Techno-Skepticism 🌊 Information Overload

AI for Good

저자: Josh Tyrangiel • 2026

AI's real story isn't flashy demos or doomsday; it's practical, humane systems quietly saving lives.

3.86

199

🤝 Human-Centered Ai 🏛️ Civic Technology ⚖️ Ai Ethics 🏥 Ai In Healthcare 🎓 Ai In Education

AI for Good

AI's real story isn't flashy demos or doomsday; it's practical, humane systems quietly saving lives.

저자: Josh Tyrangiel 2026 272 페이지

3.86

199 개의 평점

🤝 Human-Centered Ai 🏛️ Civic Technology ⚖️ Ai Ethics 🏥 Ai In Healthcare 🎓 Ai In Education

AIQ

저자: Nick Polson • 2018

What a 19th-century nurse and a lost submarine reveal about the algorithms that now run your life.

4.15

500+

🤖 Ai Explainers 📊 History Of Statistics 🎲 Bayesian Thinking 🔮 Prediction And Forecasting 🤝 Human-Machine Collaboration

AIQ

What a 19th-century nurse and a lost submarine reveal about the algorithms that now run your life.

저자: Nick Polson 2018 288 페이지

4.15

500+ 개의 평점

🤖 Ai Explainers 📊 History Of Statistics 🎲 Bayesian Thinking 🔮 Prediction And Forecasting 🤝 Human-Machine Collaboration

Void Star

저자: Zachary Mason • 2017

A translator's perfect memory makes her a target in a near-future city of favelas and rogue AI.

3.67

2,000+

🌃 Literary Cyberpunk 🌆 Near-Future Dystopia 💾 Commodified Memory 🤖 AI Consciousness 👾 Rogue AI

Void Star

A translator's perfect memory makes her a target in a near-future city of favelas and rogue AI.

저자: Zachary Mason 2017 385 페이지

3.67

2,000+ 개의 평점

🌃 Literary Cyberpunk 🌆 Near-Future Dystopia 💾 Commodified Memory 🤖 AI Consciousness 👾 Rogue AI

Rewiring Democracy

저자: Bruce Schneier • 2025

AI writes laws, targets voters, judges cases. Democracy is an information system; AI is the driver.

3.67

🖥️ Digital Governance ⚖️ Algorithmic Bias 🏛️ Power Concentration 🗳️ Democratic Reform 📡 Information Warfare

Rewiring Democracy

AI writes laws, targets voters, judges cases. Democracy is an information system; AI is the driver.

저자: Bruce Schneier 2025 360 페이지

3.67

91 개의 평점

🖥️ Digital Governance ⚖️ Algorithmic Bias 🏛️ Power Concentration 🗳️ Democratic Reform 📡 Information Warfare

Forecasting

저자: Rob J. Hyndman • 2013

Build forecasts that work: test on unseen data, beat simple benchmarks, reconcile every level.

4.39

318

🧮 Time Series Analysis 📈 Business Forecasting 📊 Statistical Modeling 👁 Data Visualization 📦 Demand Planning

Forecasting

Build forecasts that work: test on unseen data, beat simple benchmarks, reconcile every level.

저자: Rob J. Hyndman 2013 292 페이지

4.39

318 개의 평점

🧮 Time Series Analysis 📈 Business Forecasting 📊 Statistical Modeling 👁 Data Visualization 📦 Demand Planning

More Than Words

저자: John Warner • 2025

AI can mimic writing; only humans can actually write. The difference is the struggle to think.

4.05

500+

💻 Technology And Writing ✍️ Composition Theory 🤖 Ai Criticism 🏫 Education Reform 📡 Media Ecology

More Than Words

AI can mimic writing; only humans can actually write. The difference is the struggle to think.

저자: John Warner 2025 320 페이지

4.05

500+ 개의 평점

💻 Technology And Writing ✍️ Composition Theory 🤖 Ai Criticism 🏫 Education Reform 📡 Media Ecology

The AI-Savvy Leader

저자: David De Cremer • 2024

Eighty-seven percent of AI projects fail for one reason: leaders let engineers set the strategy.

3.62

177

🧠 Ai Strategy 🤖 Human-Centered Ai ❤️ Emotional Intelligence 🔧 Ai Augmentation 🏛️ Organizational Change

The AI-Savvy Leader

Eighty-seven percent of AI projects fail for one reason: leaders let engineers set the strategy.

저자: David De Cremer 2024 224 페이지

3.62

177 개의 평점

🧠 Ai Strategy 🤖 Human-Centered Ai ❤️ Emotional Intelligence 🔧 Ai Augmentation 🏛️ Organizational Change

AI Engineering

저자: Chip Huyen • 2025

Stop training models from scratch. The new discipline for building AI that ships.

4.37

1,000+

🏗️ Llm Application Development 📝 Prompt Engineering 🔍 Rag Systems 🎯 Model Finetuning 📊 Ai Evaluation

AI Engineering

Stop training models from scratch. The new discipline for building AI that ships.

저자: Chip Huyen 2025 532 페이지

4.37

1,000+ 개의 평점

🏗️ Llm Application Development 📝 Prompt Engineering 🔍 Rag Systems 🎯 Model Finetuning 📊 Ai Evaluation

Rationality

저자: Eliezer Yudkowsky • 2015

Human reason is buggy code. Here is the patch from cognitive science and AI.

4.32

1,000+

🧠 Cognitive Biases 🛠️ Debiasing 📊 Bayesian Reasoning 🎯 Instrumental Rationality 🗺️ Mental Models

Rationality

Human reason is buggy code. Here is the patch from cognitive science and AI.

저자: Eliezer Yudkowsky 2015 1813 페이지

4.32

1,000+ 개의 평점

🧠 Cognitive Biases 🛠️ Debiasing 📊 Bayesian Reasoning 🎯 Instrumental Rationality 🗺️ Mental Models

이전 3 4 5

Compare Features	Free	Pro
📖 Read Summaries Read unlimited summaries. Free users get 3 per month
🎧 Listen to Summaries Listen to unlimited summaries in 40 languages	—
❤️ Unlimited Bookmarks Free users are limited to 4	—
📜 Unlimited History Free users are limited to 4	—
📥 Unlimited Downloads Free users are limited to 1	—

People love SoBrief

Join our global community of 600,000+ readers

★★★★★

This site is a total game-changer. I've been flying through book summaries like never before. Highly, highly recommend.

— Dave G

Worth my money and time, and really well made. I've never seen this quality of summaries on other websites. Very helpful!

— Em

Highly recommended!! Fantastic service. Perfect for those that want a little more than a teaser but not all the intricate details of a full audio book.

— Greg M