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Philosophy · 1st Year

Active learning ideas

Artificial Intelligence and Knowledge

This topic examines the intersection of technology and epistemology. As AI becomes a daily part of life, students must grapple with whether 'processing information' is the same as 'knowing.' This aligns with the NCCA Junior Cycle's focus on Digital Literacy and the key skill of 'Being Creative,' as students imagine the future of intelligence and its impact on human society.

NCCA Curriculum SpecificationsNCCA Junior Cycle Philosophy LO 2.4: Discuss contemporary epistemological issues, including artificial intelligence.NCCA Junior Cycle Key Skills: Being Creative - Imagining and exploring options and alternatives.
35–45 minPairs → Whole Class3 activities

Activity 01

Simulation Game40 min · Whole Class

Simulation Game: The Human Search Engine

One student acts as the 'AI' inside a box, receiving questions on slips of paper. They have a giant book of 'if/then' rules to provide answers but don't know the language of the questions. The class must decide: does the 'AI' actually know the answers?

Can a computer truly know something?
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Activity 02

Formal Debate45 min · Whole Class

Formal Debate: AI vs. Human Intelligence

Divide the class into two sides. One side argues that AI can possess knowledge because it can provide accurate information; the other argues that knowledge requires consciousness and experience. Students must use specific examples like ChatGPT or self-driving cars.

What is the difference between human intelligence and AI?
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Activity 03

Inquiry Circle35 min · Small Groups

Inquiry Circle: The Bias Hunt

In small groups, students give the same prompt to an AI image or text generator. They analyze the results for stereotypes or inaccuracies and discuss how the 'knowledge' provided by AI is limited by the data it was fed.

Does having information mean having knowledge?
AnalyzeEvaluateCreateSelf-ManagementSelf-Awareness
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A few notes on teaching this unit


Watch Out for These Misconceptions

  • If an AI gives the right answer, it 'knows' the topic.

    Students often equate output with understanding. Using the 'Chinese Room' simulation helps them see that a machine can produce the correct result by following a code without having any internal understanding of the concepts involved.

  • AI is perfectly objective and neutral.

    Many students believe computers can't be biased. By investigating how AI is trained on human-created data, students learn through peer analysis that AI often reflects and even amplifies human prejudices, making its 'knowledge' potentially flawed.


Methods used in this brief