Contents
- 23.1 Overview
- 23.2 The Limits of AI
- 23.2.1 Intelligent Machines or Engineering Tools?
- 23.2.2 What Is Intelligence?
- 23.2.3 Computational argument vs.\ Searle's Chinese Room
- 23.3 Creativity
- 23.3.1 The Creative Process
- 23.3.2 Generate and Filter
- 23.3.3 The Critical Edge
- 23.3.4 Impact on Creative Professionals
- 23.4 Consciousness
- 23.4.1 Defining Consciousness
- 23.4.2 Dualism and Materialism
- 23.4.3 The Hard Problem of Consciousness
- 23.5 Morality of the Artificial
- 23.5.1 Morally Neutral
- 23.5.2 Who Is Responsible?
- 23.5.3 Life or Death Decisions
- 23.5.4 The Special Ethics of AI
- 23.6 Society and Work
- 23.6.1 Humanising AI or Dehumanising People
- 23.6.2 Top-down: Algorithms Grading Students
- 23.6.3 Bottom-up: When AI Ruled France
- 23.6.4 AI and Work
- 23.7 Money and Power
- 23.7.1 Finance and Markets
- 23.7.2 Advertising and Runaway AI
- 23.7.3 Big AI: The Environment and Social Impact
- 23.8 Summary
Glossary items referenced in this chapter
accountability, accuracy, adversarial learning, agents!embodied, AI arms race, AlphaFold, AREA framework, artificial neural networks, Asimov, Isaac, automation bias, autonomous car, autonomous vehicle, autonomous weapons, bias, Boden, Margaret, brain architecture, chatbot, Chinese room argument, COMPAS, computational argument, computer vision, consciousness, creativity, Damasio, Antonio, deep neural network, DeepSeek, Descartes, Réne, design fiction, deterministic algorithms, dimension reduction, Dreyfus, Hubert, dualism, ELIZA, emotion, empathy, epiphenomenon, expert system, explainable AI, Facebook, feedback phenomena, foundation models, generate and filter, generate and test, generative AI, gig economy, glial cells, global synchronisation of oscillations, global workspace theory, Google, Google search, GPT-4, hard problem of consciousness, history of AI, human computers, human intelligence, human intelligence!computational view, human-in-the-loop, image recognition, imagination, information processing, intellectual property, intentionality, internet of things, knowledge engineer, LaMDA , large language model, laws of robotics, Lemoine, Blake, LiGO, LLaMA, LoRA, machine learning, MapReduce, memory layers, microtubules, mixture-of-experts, natural language processing, natural selection, neural correlates of consciousness, neural network, neurone, Penrose, Roger, phenomenological, philosophical issues of AI, physicalism, positive feedback, pragmatic approach to AI, prisoner's dilemma, qualia, recidivism, res cogitans, res extensa, responsibility, responsible innovation, robotics, search engine, Searle, John, sexual selection, social media, social responsibility, strong AI, systems response, technological determinism, theory of mind, thought experiment, transformer model, transparency, trend removal, trolley problem, Turing test, Turing, Alan, underdetermined, unintended bias, weak AI, web search, Weizenbaum, Joseph, Zombie Alice