Artificial Intelligence audiobook cover - A Guide for Thinking Humans

Artificial Intelligence

A Guide for Thinking Humans

Melanie Mitchell

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Technology & the FutureScience

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Artificial Intelligence
Evolution & History+
Generative AI & LLMs+
The Intelligence Debate+
Rewards & Risks+
The Real Dangers+

Quiz — Test Your Understanding

Question 1 of 6
What characterized the first 'AI winter' in the 1970s?
  • A. A period of reduced funding and growing skepticism due to the realization of how complex achieving general artificial intelligence would be.
  • B. A complete halt in computer hardware manufacturing that prevented further AI research.
  • C. The shift away from traditional neural networks toward modern generative AI and large language models.
  • D. A deliberate pause by scientists who feared that AI was becoming too intelligent and posed an existential threat.
Question 2 of 6
According to the text, what is the fundamental computational process that allows Large Language Models (LLMs) like ChatGPT to generate text?
  • A. They simulate the exact biological processes of the human brain to reason through complex prompts.
  • B. They rely on a complex set of hard-coded rules and knowledge bases created by human experts.
  • C. They predict the probability of each subsequent word in a sequence based on the preceding words.
  • D. They perform real-time internet searches to copy and paste relevant factual answers into a template.
Question 3 of 6
How does 'Moravec’s paradox' illustrate the limitations of current AI systems?
  • A. AI requires massive amounts of data to learn, whereas humans can learn from a single example.
  • B. AI can match adults in specific intellectual tasks but struggles with basic perceptual and common-sense skills that a one-year-old possesses.
  • C. AI can generate highly creative works but cannot understand the emotional impact of its own creations.
  • D. AI systems are becoming more intelligent while simultaneously requiring less computational power.
Question 4 of 6
Why might an AI system's ability to pass standardized exams not be a reliable indicator of true intelligence, according to the text?
  • A. The exams are outdated and do not reflect the cognitive requirements of the modern digital age.
  • B. AI systems use real-time internet access to look up answers during the testing process.
  • C. The AI systems are programmed with 'expert systems' rules that only apply to multiple-choice formats.
  • D. AI systems may have already been exposed to the test questions during their training on massive internet datasets, an issue known as 'data contamination'.
Question 5 of 6
Which of the following is identified as a significant, real-world risk of deploying current AI technologies?
  • A. The imminent development of sentient machines that will physically overthrow democratic institutions.
  • B. The depletion of global data storage capacities due to the massive size of Large Language Models.
  • C. The amplification of existing human biases, such as racial bias in facial recognition and image generation.
  • D. The complete replacement of all human workers in creative fields like music and painting within the next few years.
Question 6 of 6
According to economist Sendhil Mullainathan, what is the greatest actual risk associated with current AI systems?
  • A. 'Machine intelligence' that allows AI to independently rewrite its own underlying code.
  • B. 'Machine stupidity,' where AI functions adequately until it encounters an unusual situation not covered in its training data.
  • C. The eventual merging of human consciousness with global AI networks.
  • D. AI's ability to perfectly mimic the emotional depth of human creators, rendering human art obsolete.

Artificial Intelligence — Full Chapter Overview

Artificial Intelligence Summary & Overview

Artificial Intelligence (2019) delves into the complex and evolving field of AI, contrasting its real-world applications with the often sensationalized portrayals in popular media. It explores the impact of AI technologies on various sectors, the profound challenges they present, and the ethical dilemmas they provoke. It also traces the historical development of AI, highlighting both groundbreaking achievements and the significant obstacles that persist in the field.

Who Should Listen to Artificial Intelligence?

  • AI enthusiasts curious about its real-world impacts and future
  • Readers interested in the ethical dilemmas of AI technology
  • Students and professionals in AI, cognitive science, and tech

About the Author: Melanie Mitchell

Melanie Mitchell, a Professor at the Santa Fe Institute, is a prominent figure in the fields of artificial intelligence, cognitive science, and complex systems. Her research primarily explores conceptual abstraction and analogy-making within AI systems. Mitchell’s previous books include Complexity: A Guided Tour. 

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