KySTE 2025 Session

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• Today’s Slide Deck

• Recommended Books on UDL

  • UDL Now!: A Teacher's Guide to Applying Universal Design for Learning

  • UDL and Blended Learning: Thriving in Flexible Learning Landscapes

Recommended Books

AI & Intelligence Fundamentals

Books exploring AI, cognition, and intelligence from a theoretical or philosophical perspective.)

• "Gödel, Escher, Bach: An Eternal Golden Braid" – Douglas Hofstadter (1979)

  • A fascinating exploration of self-reference, mathematics, and the nature of intelligence.

• "The Society of Mind" – Marvin Minsky (1986)

  • A classic in cognitive science, proposing that intelligence emerges from interconnected processes.

• "Artificial Intelligence: A Modern Approach" – Stuart Russell & Peter Norvig (1995, 4th ed. 2020)

  • The definitive textbook on AI fundamentals, widely used in university courses.

• "How to Create a Mind: The Secret of Human Thought Revealed" – Ray Kurzweil (2012)

  • A deep dive into the human brain’s structure and how it can inform AI development.

• "Artificial Intelligence: A Guide for Thinking Humans" – Melanie Mitchell (2019)

  • A well-balanced discussion on the strengths and limitations of AI.

AI & Education

(Books focusing on AI’s role in teaching, learning, and cognitive development.)

• "AI for Educators: Learning Strategies, Teacher Efficiencies, and a Vision for an Artificial Intelligence Future” - Matt Miller (2023)

  • A hands-on guide for teachers on using AI tools in the classroom.

• "Co-Intelligence: Living and Working with AI" – Ethan Mollick (2024)

  • Explores how AI is changing work and learning, with practical applications for educators and professionals.

• “Brave New Words: How AI Will Revolutionize Education (and Why That's a Good Thing)” - Sal Khan (2024)

• “Teaching with AI: A Practical Guide to a New Era of Human Learning” - (2024)

AI Ethics, Bias, & Societal Impact

(Books analyzing AI’s ethical challenges, bias, and consequences for society.)

• "Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy" – Cathy O'Neil (2016)

  • Critically examines how biased AI algorithms contribute to systemic inequality.

• "Human Compatible: Artificial Intelligence and the Problem of Control" – Stuart Russell (2019)

  • Explores the challenges of aligning AI with human values and avoiding unintended consequences.

• "Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence" – Kate Crawford (2021)

  • Investigates the environmental and societal costs of AI development.

• "The Alignment Problem: Machine Learning and Human Values" – Brian Christian (2020)

  • Explores AI’s struggle to align with human ethics, including real-world examples of algorithmic bias.

AI Industry & Expert Insights

(Books featuring interviews and insights from leading AI researchers and practitioners.)

• "Architects of Intelligence: The Truth About AI from the People Building It" – Martin Ford (2018)

  • A collection of interviews with AI pioneers, including DeepMind’s Demis Hassabis and OpenAI’s Sam Altman.

• "Rebooting AI: Building Artificial Intelligence We Can Trust" – Gary Marcus & Ernest Davis (2019)

  • Critiques deep learning and argues for a more robust, human-like AI.

• "The Age of Spiritual Machines: When Computers Exceed Human Intelligence" – Ray Kurzweil (1999)

  • One of the earliest books predicting AI’s eventual surpassing of human intelligence.