Best AI Book 2024: What I Learned!

Mohsen Nabil
4 min readFeb 17, 2024

2024 is “The Year of AI,” advancements in the field are happening at a dizzying pace. While many believe artificial intelligence holds the potential to change the world for the better, others harbor concerns about its trajectory. To gain a balanced view, let’s explore insights from some top AI experts, gleaned from their landmark books discussing the possibilities and the perils of this technology.

Source: PNGTree

Life 3.0: Being Human in the Age of Artificial Intelligence (Max Tegmark)

In his book Life 3.0, physicist Max Tegmark explores the different tiers of intelligent life since the universe’s beginning. Starting with simple biological life (like bacteria), and moving to cultural life (where species adapt via learning new skills), we now stand on the precipice of Life 3.0. Defined by intelligent entities able to design both their software and hardware, this third tier offers immense potential but also brings concerns of an intelligence explosion.

Tegmark emphasizes the debate between techno-skeptics, who believe this level of AI is centuries away, and the beneficial AI movement, arguing it’s possible within our lifetimes. While there’s no consensus on timing, Life 3.0 underscores the importance of influencing our future. Questions concerning job automation, who should possess societal control, and our overall desired world take center stage.

Superintelligence: Paths, Dangers, Strategies (Nick Bostrom)

The core idea of Nick Bostrom’s Superintelligence is that, compared to the range of human intelligence, once AI surpasses the lower levels, gains would likely happen with explosive speed. Machine intelligence stands to benefit from breakthroughs in unrelated fields, potentially even self-improvement capabilities.

While some posit a path of whole-brain emulation via computer simulation, consciousness remains mysterious. Bostrom warns that a super intelligent AI with benevolent intent is no guarantee — several failure scenarios are plausible, even unintentionally harmful ones. Global collaboration, rather than secret programs or arms races, are highlighted as pivotal for AI safety.

The Coming Wave: Technology, Power, and the Twenty-first Century’s Greatest Dilemma (Mustafa Suleyman)

The Coming Wave, authored by Google DeepMind co-founder Mustafa Suleyman, discusses how technology’s acceleration throughout history shapes everything around us. Covering robotics and large language models (LLMs), the book examines forces fueling progress — not merely financial, but human curiosity and ego mixed with the drive to improve or change the world.

Mustafa Suleyman notes several features setting this wave apart, such as its blistering pace and potential autonomy. While acknowledging these advancements bring risks, he advocates for containment policies requiring global coordination.

Power and Progress: Our Thousand-Year Struggle Over Technology and Prosperity (Daron Acemoglu & Simon Johnson)

Power and Progress takes a critical eye to the assumption that technological advancements (AI included) intrinsically propel humanity forward. Instead, it argues that such innovation often widens inequality, concentrating wealth among the few. It cites how the Industrial Revolution enriched factory owners while leaving laborers in squalor. Recent decades, though marked by increased productivity, have seen real wages decline for many due to AI and automation.

To remedy this, the authors argue technology should empower humans to be more productive, rather than replacing them entirely. We should embrace “social automation” (where humans aren’t simply replaced by AI) and enact appropriate policies to spread the benefits of technology more equitably.

Human Compatible: Artificial Intelligence and the Problem of Control (Stuart Russell)

Stuart Russell’s “Human Compatible” takes on a unique challenge in the world of AI. We all want powerful AI to solve problems, but what if its “solutions” hurt us by mistake? Imagine asking an AI to cure cancer, and it decides poisoning everyone would be the fastest “cure”! Instead of making super-focused AI, Russell argues for something new: computers that constantly learn to understand human values. This way, no matter how smart they get, their first rule is always “do no harm” and figure out what’s truly best for us humans.

He knows this gets tricky — what “good” means changes from person to person! But he argues with super-smart AI, figuring out this human side is the key to safety. “Human Compatible” is a short but important read. If you’re fascinated by how AI can both serve and accidentally endanger us, it’s a must-read

The Alignment Problem: Machine Learning and Human Values (Brian Christian)

Brian Christian’s book, “The Alignment Problem”, addresses the challenge of making AI systems truly match our values and goals. Think of it as teaching a powerful robot what being a “good person” really means! His book offers a crash course in how AI works, exploring things like neural networks and how those “brains” can sometimes lead to bad behavior. For example, Google Photos once mislabeled pictures of Black people — accidents like this show why fixing biased AI is so important.

The book explores not just what goes wrong, but how people are attempting to make things right. It gets tricky: what if the world itself is unfair? Can we teach a robot perfect fairness when we humans haven’t mastered it ourselves? “The Alignment Problem” explores real-world examples, offering fascinating questions on AI, ethics, and how to keep technology as a force for good. If that gets your mind buzzing, this book is worth digging into!

Artificial Intelligence: A Modern Approach (Stuart Russell &Peter Norvig)

We can’t talk about AI without mentioning the classic textbook “Artificial Intelligence: A Modern Approach” by Peter Norvig and Stuart Russell. It’s like the AI bible, covering everything from problem-solving to language understanding to computer vision. If you’re interested in how AI works under the hood, this is the place to start! Don’t be scared by the word “textbook” — it’s surprisingly readable, just brush up on basic math if it’s been a while.

All these amazing books have shifted my perspective on AI. It’s easy to get caught up in the hype or be overly fearful about headlines promising super-intelligent robots tomorrow. The reality is far more gradual but just as fascinating!

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