Exploring Human vs. Machine Intelligence and Ethics
Created byBob Heath
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Exploring Human vs. Machine Intelligence and Ethics

College/UniversityScienceHistoryHealthTechnologyComputer SciencePsychologyPhilosophyBiologySociology100 days
This college-level project explores the defining characteristics and differences between human and machine intelligence, focusing on the ethical and societal impacts these differences influence. Students engage through a variety of activities such as creating a timeline of intelligence evolution, participating in debates on AI and human ethics, and analyzing AI decision-making processes. The project aims to deepen understanding across multiple disciplines, including philosophy, psychology, technology, and sociology, ultimately preparing students to critically engage with the future of AI in society.
Human IntelligenceMachine IntelligenceEthicsSocietal ImpactAI DevelopmentCross-disciplinary LearningCritical Analysis
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Inquiry Framework

Question Framework

Driving Question

The overarching question that guides the entire project.How can understanding the defining characteristics and differences between human and machine intelligence influence ethical considerations and societal impacts, and shape the future advancement and integration of artificial intelligence in society?

Essential Questions

Supporting questions that break down major concepts.
  • What are the defining characteristics of human intelligence compared to machine intelligence?
  • In what ways do the processes of learning differ between humans and machines?
  • How do natural intelligence and artificial intelligence each impact society, and what are the potential future implications?
  • How do ethical considerations differ between human and machine actions, particularly in AI applications?
  • What are the historical developments that have shaped our understanding of intelligence in both humans and machines?
  • How do human values and ethics influence the design and implementation of AI technologies?
  • In what ways can understanding psychology and biology contribute to advancements in artificial intelligence?
  • What role does health and wellbeing play in discussions about intelligence and ethical AI?
  • How can philosophy help us interpret the implications of AI on human life and society?
  • How do sociology and cultural perspectives shape the integration of AI into various aspects of life?

Standards & Learning Goals

Learning Goals

By the end of this project, students will be able to:
  • Identify the key differences and similarities between human intelligence and artificial intelligence.
  • Explore and analyze the historical context and development of artificial intelligence.
  • Evaluate the societal impacts and ethical concerns related to the implementation and advancement of AI technologies.
  • Investigate how human psychology and biology influence the design and capabilities of AI.
  • Understand the current state and future projections of artificial intelligence in various sectors.

Computer Science Curriculum

CS1
Primary
Understanding the concepts and impacts of artificial intelligenceReason: The project focuses on differentiating human and machine intelligence, directly addressing AI concepts.

Philosophy Curriculum

P2
Primary
Examine ethical considerations in technology and AI applicationsReason: A critical part of the project involves understanding ethics related to human and AI actions.

Psychology Curriculum

PSY4
Secondary
Analyze the psychological processes in human intelligenceReason: Students learn the intelligence differences and learning processes between humans and machines.

History Curriculum

HIST3
Secondary
Trace the historical developments in science and technology influencing AIReason: The project explores the history shaping AI development.

Biology Curriculum

BIO5
Supporting
Explore the biological basis of human intelligenceReason: This aligns with understanding natural intelligence for AI applications.

Sociology Curriculum

SOC6
Primary
Investigate societal impacts of AI technologiesReason: Studying societal impacts of intelligence and AI is a key component of the project.

Technology Curriculum

TECH7
Secondary
Knowledge of current and emerging technologies related to AIReason: Students study the current state and future of AI technologies relevant to the project.

Entry Events

Events that will be used to introduce the project to students

Evolution of Intelligence

Launch with a futuristic video showing the evolution of intelligence from past to future, blending human and machine capabilities. Students can explore how intelligence is perceived and evolved in various eras and predict future developments. This directly links to the project goals of understanding intelligence evolution.

Machine vs. Human Debate

Begin with an engaging debates between a human and AI (such as a chatbot or virtual assistant) on complex topics like ethics and decision-making. Students will examine the strengths and weaknesses in arguments presented by both sides, driving curiosity in the workings and implications of both intelligences. Follow with student debates, Randomly assigning one student the role of AI will surpass human intelligence and another student defending human intelligence will not be surpassed in all areas of intelligence.

Interactive AI Ethics Simulation

Create an interactive simulation where students must make decisions in ethical dilemmas, assisted by AI tools. By managing these scenarios, they gain insights into both human and machine ethical reasoning, fostering a deep dive into core project concepts.

Reverse Engineering Intelligence

Invite students to dissect an AI system to understand its decision-making processes. This practical session links directly to the core goal of understanding differences in intelligence types and offers a firsthand experience of machine functionality and ethics.

Personal Intelligence Journey Mapping

Students create a timeline of their intellectual development parallel to AI evolution through history. By personalizing their learning path, students connect historical AI milestones with their cognitive growth, providing an authentic and relatable context for further exploration.

Human uniqe intelligence types and when if ever would AI beable to successfully replicate them, such as Neural Diversity and Emotional Intelligence

What is Intelligence? What are the common types of Intelligence? Which Types has AI equaled or past Human Intelligence? Which Types has AI not met or surpassed Human Intelligence?
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Portfolio Activities

Portfolio Activities

These activities progressively build towards your learning goals, with each submission contributing to the student's final portfolio.
Activity 1

Intelligence Evolution Timeline

Students create a timeline to map milestones in human intelligence, machine intelligence, and related developments from history to the present.

Steps

Here is some basic scaffolding to help students complete the activity.
1. Research major milestones in the evolution of human intelligence and AI.
2. Create a timeline using digital tools, effectively plotting key events in the evolution of intelligence.
3. Write brief descriptions for each milestone, explaining its significance.

Final Product

What students will submit as the final product of the activityA comprehensive digital timeline showcasing key historical milestones in the development of human and artificial intelligence.

Alignment

How this activity aligns with the learning objectives & standardsAligns with HIST3 - Trace historical developments in science and technology influencing AI.
Activity 2

Machine vs. Human Ethical Debate

Engage in debates exploring ethical considerations of human and machine intelligence.

Steps

Here is some basic scaffolding to help students complete the activity.
1. Research ethical theories and current events related to AI ethics.
2. Prepare arguments for both sides of the debate, focusing on ethics and decision-making.
3. Participate in class debates, analyzing the arguments made by human and machine proxies.

Final Product

What students will submit as the final product of the activityA reflective essay analyzing the strengths and weaknesses of ethical arguments related to AI.

Alignment

How this activity aligns with the learning objectives & standardsAligns with P2 - Examine ethical considerations in technology and AI applications.
Activity 3

AI Ethics Simulation Challenge

Interactive simulation exercises where students make decisions in AI-based ethical dilemmas.

Steps

Here is some basic scaffolding to help students complete the activity.
1. Review typical ethical dilemmas involving AI from a case study database.
2. Participate in simulated exercises, making decisions using AI tools to navigate ethical issues.
3. Discuss outcomes with the class, reflecting on human vs. machine ethical reasoning.

Final Product

What students will submit as the final product of the activityGroup presentation discussing solutions proposed in the ethical simulation challenges.

Alignment

How this activity aligns with the learning objectives & standardsAligns with SOC6 - Investigate societal impacts of AI technologies.
Activity 4

Reverse Engineering AI Decision Processes

Students dissect AI systems to understand how they process information and make decisions.

Steps

Here is some basic scaffolding to help students complete the activity.
1. Select an AI tool to explore its functionality and decision-making processes.
2. Analyze the AI tool step-by-step, identifying how it emulates human decision-making.
3. Document findings in a report highlighting differences in decision-making between AI and humans.

Final Product

What students will submit as the final product of the activityA detailed report on the decision-making processes of selected AI systems.

Alignment

How this activity aligns with the learning objectives & standardsAligns with CS1 - Understanding the concepts and impacts of artificial intelligence.
Activity 5

Cognitive Growth Parallel Mapping

Create personal maps aligning individual cognitive growth with AI evolution.

Steps

Here is some basic scaffolding to help students complete the activity.
1. Reflect on personal intellectual development milestones and struggles with various types of intelligence.
2. Research historical AI milestones and breakthroughs in chronological order.
3. Create a visual map showing the parallel development of personal intelligence and historical AI advancements.

Final Product

What students will submit as the final product of the activityA visual map that illustrates personal cognitive growth and historical AI evolution.

Alignment

How this activity aligns with the learning objectives & standardsAligns with PSY4 - Analyze the psychological processes in human intelligence.
Activity 6

Multi-Intelligence Analysis: Human vs. AI

Investigate and compare the different dimensions of human intelligence and AI capabilities.

Steps

Here is some basic scaffolding to help students complete the activity.
1. Identify different types of human intelligence and how AI attempts to replicate them.
2. Analyze where AI currently surpasses or falls short of human intelligence capabilities.
3. Conduct interviews or collect perspectives from industry experts on future AI developments.

Final Product

What students will submit as the final product of the activityA comparative analysis paper on the current and future state of human vs. AI intelligence types.

Alignment

How this activity aligns with the learning objectives & standardsAligns with BIO5 - Explore the biological basis of human intelligence and TECH7 - Knowledge of current and emerging technologies related to AI.
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Rubric & Reflection

Portfolio Rubric

Grading criteria for assessing the overall project portfolio

Human and AI Intelligence Comparison Rubric

Category 1

Research and Analysis

Assesses the ability to thoroughly research historical, ethical, and societal aspects of AI and human intelligence.
Criterion 1

Historical Research & Analysis

Evaluate students' ability to research and analyze key historical milestones in human and artificial intelligence.

Exemplary
4 Points

Conducts extensive research, identifies groundbreaking milestones, and provides thorough analysis of historical impacts on AI and human intelligence.

Proficient
3 Points

Conducts sufficient research, identifies important milestones, and provides clear analysis of historical developments.

Developing
2 Points

Conducts limited research with gaps in identifying milestones and provides basic analysis of historical context.

Beginning
1 Points

Research is superficial, missing key milestones, with minimal analysis of historical impact.

Criterion 2

Ethical Understanding & Evaluation

Assess the understanding and ability to evaluate AI and human intelligence ethics.

Exemplary
4 Points

Demonstrates sophisticated understanding and critical evaluation of complex ethical issues in AI and human intelligence.

Proficient
3 Points

Shows clear understanding and evaluation of key ethical considerations in AI applications.

Developing
2 Points

Exhibits basic understanding with some evaluation of ethical issues in AI and human contexts.

Beginning
1 Points

Shows minimal understanding or evaluation of ethical considerations between AI and humans.

Criterion 3

Societal Impact Analysis

Evaluates the ability to analyze societal impacts and potential implications of AI technologies.

Exemplary
4 Points

Provides comprehensive analysis of societal impacts with insightful implications of AI technologies on future developments.

Proficient
3 Points

Analyzes societal impacts and outlines reasonable implications of AI technologies.

Developing
2 Points

Attempts to analyze societal impacts but lacks depth or future implications.

Beginning
1 Points

Superficial analysis with little insight into societal impacts of AI technologies.

Criterion 4

Cross-disciplinary Integration

Examines how students integrate knowledge from various subjects into their analysis.

Exemplary
4 Points

Skillfully integrates knowledge from biology, psychology, sociology, and technology into coherent analysis.

Proficient
3 Points

Effectively integrates multiple subject areas into analysis with few gaps.

Developing
2 Points

Integrates limited subject knowledge with noticeable gaps in holistic analysis.

Beginning
1 Points

Little to no integration of cross-disciplinary knowledge in the analysis.

Category 2

Critical Thinking and Problem Solving

Evaluates the use of critical thinking and problem-solving skills in understanding AI-related challenges and formulating solutions.
Criterion 1

Innovative Thought

Ability to propose innovative solutions or perspectives on human-AI interaction challenges.

Exemplary
4 Points

Presents original, innovative solutions with deep insights into human-AI interaction challenges.

Proficient
3 Points

Offers effective solutions with adequate insights into challenges.

Developing
2 Points

Suggests basic solutions with weak insights into interaction challenges.

Beginning
1 Points

Minimal engagement with solutions, showing little originality.

Criterion 2

Argumentation and Reasoning

Assesses the ability to construct sound arguments with evidence in debates and ethical discussions.

Exemplary
4 Points

Constructs compelling arguments with comprehensive reasoning and strong evidence.

Proficient
3 Points

Builds coherent arguments with logical reasoning and supportive evidence.

Developing
2 Points

Attempts argumentation, some reasoning present but lacks convincing evidence.

Beginning
1 Points

Struggles to formulate coherent arguments, minimal reasoning and evidence.

Category 3

Presentation and Collaboration

Focuses on the delivery and collaboration of group projects and individual presentations.
Criterion 1

Clarity and Engagement

Measures how clearly information is presented and engages the audience.

Exemplary
4 Points

Delivers presentations with exceptional clarity, consistently engaging and inspiring the audience.

Proficient
3 Points

Presents clearly, keeps the audience engaged through most of the presentation.

Developing
2 Points

Presents with basic clarity but struggle to maintain audience engagement.

Beginning
1 Points

Difficult to follow presentation, little effort to engage the audience.

Criterion 2

Team Dynamics and Contribution

Evaluates the effectiveness and contributions of individuals in team settings.

Exemplary
4 Points

Demonstrates leadership, consistent contribution, and fosters a collaborative team environment.

Proficient
3 Points

Actively contributes to teamwork, effective collaboration with peers.

Developing
2 Points

Participates in teamwork but contributions are uneven or inconsistent.

Beginning
1 Points

Limited participation or contribution to team efforts.

Category 4

Reflective Practice

Encourages student reflection on learning experiences and goal setting for future growth.
Criterion 1

Depth of Reflection

Assesses how deeply students reflect on their learning processes and outcomes.

Exemplary
4 Points

Provides deep, insightful reflections with constructive self-assessment and clear learning goals.

Proficient
3 Points

Offers meaningful reflection and sets achievable learning goals.

Developing
2 Points

Basic reflection on learning with vague goals for improvement.

Beginning
1 Points

Superficial reflection with minimal or unclear learning goals.

Reflection Prompts

End-of-project reflection questions to get students to think about their learning
Question 1

Reflect on your understanding of the key differences and similarities between human intelligence and artificial intelligence. How have your perceptions evolved through this project?

Text
Required
Question 2

On a scale of 1 to 5, how would you rate your ability to critically analyze the societal impacts and ethical concerns associated with AI technologies after completing this course?

Scale
Required
Question 3

What insights did you gain regarding the historical developments shaping AI and their influence on current and future AI technologies?

Text
Required
Question 4

Which aspect of the project most challenged your thinking about human and artificial intelligence, and why?

Text
Optional
Question 5

How do you foresee your knowledge of human psychology and biology influencing advancements in artificial intelligence?

Text
Optional
Question 6

After completing this course, how confident are you in discussing and debating ethical issues surrounding AI with others?

Scale
Optional
Question 7

Reflect on how your understanding of the role of philosophy, sociology, and cultural perspectives in AI integration has deepened. How does this influence your view on AI's future in society?

Text
Optional
Question 8

Which new technology or AI development do you believe will have the greatest ethical impact in the next decade, and why?

Multiple choice
Required
Options
Self-driving cars
AI in healthcare
Facial recognition technology
Autonomous weapons
AI in education