Grade 9: The Global AI Constitution: Ethical Integrity Across All Disciplines

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Grade 9: The Global AI Constitution: Ethical Integrity Across All Disciplines

Grade 9EnglishMathScienceSocial StudiesForeign LanguageArtPhysical EducationTechnologyComputer ScienceReligious StudiesBiologyChemistryPhysics4 days

In this interdisciplinary project, Grade 9 students act as global digital citizens to draft a 'Global AI Constitution' that governs the ethical use of artificial intelligence within their school community. Students analyze algorithmic bias through mathematical modeling, determine disciplinary boundaries for AI in subjects ranging from Physical Education to Science, and translate ethical tenets into multiple languages to reflect cultural nuances. The experience culminates in a Ratification Summit where students present a comprehensive, data-backed policy document to school stakeholders, balancing technological innovation with human-led academic integrity.

Artificial IntelligenceDigital EthicsAlgorithmic BiasAcademic IntegrityGlobal CitizenshipPolicy DesignData Literacy

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Inquiry Framework

Question Framework

Driving Question

The overarching question that guides the entire project.How can we, as global digital citizens, design a multilingual and data-backed "Global AI Constitution" that balances the power of artificial intelligence with the demands of academic integrity and human development across all disciplines?

Essential Questions

Supporting questions that break down major concepts.

How can we design a 'Global AI Constitution' that balances technological innovation with academic integrity across all school disciplines?
What does it mean to be an 'authentic' creator or learner in an age where machines can mimic human intelligence? (English, Art, Religious Studies)
How can data analysis and mathematical modeling expose biases and inequities within AI algorithms? (Math, Computer Science)
In what ways do different languages and cultural frameworks influence our definitions of privacy and digital ethics? (Foreign Language, Social Studies)
To what extent should we delegate cognitive and physical tasks to AI without compromising human skill development? (PE, Science, Technology)
How do we build a robust system of accountability that is flexible enough to adapt to rapidly evolving technologies? (Social Studies, CS)

Standards & Learning Goals

Learning Goals

By the end of this project, students will be able to:

Evaluate the ethical implications of Artificial Intelligence (AI) across various academic disciplines to synthesize a comprehensive 'Global AI Constitution.'
Analyze and interpret data sets used in AI training to identify and mitigate algorithmic biases using mathematical modeling.
Demonstrate intercultural competence by translating and adapting ethical guidelines into multiple languages while preserving cultural nuances regarding privacy and ownership.
Develop a criteria-based framework for 'Academic Integrity' that distinguishes between AI-assisted support and human-led authentic creation.
Assess the impact of AI on human cognitive and physical skill development, proposing specific boundaries for AI use in Sciences, PE, and the Arts.
Design a collaborative, iterative policy document that utilizes evidence-based research to address rapidly evolving technological landscapes.

IB MYP

IB-MYP

Secondary

Students will be able to synthesize information from a range of sources to demonstrate understanding and make connections across disciplines.Reason: The project is inherently interdisciplinary, requiring students to bridge ethics, technology, and all other school subjects into a single policy.

IB MYP

Secondary

Students recognize the rights, responsibilities and opportunities of living, learning and working in an interconnected digital world, and they act and model in ways that are safe, legal and ethical.Reason: This project centers on the ethical use of technology and digital citizenship in a global context.

IB MYP Sciences

IB-MYP

Secondary

Students will evaluate the impact of scientific developments and their applications on society and the environment.Reason: Students must analyze how AI technology affects human development and ethical standards in scientific research.

IB MYP Mathematics

IB-MYP-MATH

Secondary

Students will use appropriate mathematical strategies to solve problems in real-life contexts and justify the reasonableness of their results.Reason: Math and Computer Science students will use data analysis to expose and justify the existence of bias in AI algorithms.

IB MYP Language Acquisition

IB-MYP

Secondary

Students will communicate clearly and effectively in a variety of contexts and for various purposes using a range of media.Reason: The requirement for a multilingual constitution aligns directly with the goal of communicating across cultural and linguistic boundaries.

IB MYP Individuals and Societies

IB-MYP

Secondary

Students will analyze and evaluate the role of individuals and societies in shaping local and global environments and communities.Reason: Social Studies students will look at the governance and societal impact of AI, focusing on accountability and digital equity.

Entry Events

Events that will be used to introduce the project to students

The Deepfake Decree: An Algorithmic Takeover

Students enter a classroom where an AI avatar (using a deepfake of the school principal) announces that a new 'efficiency algorithm' will now determine all grades, sports team placements, and disciplinary actions based solely on data. This 'Deepfake Decree' immediately triggers questions about bias, the loss of human nuance, and the urgent need for a student-led constitution to govern such power.

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Portfolio Activities

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

Activity 1

The Bias Lab: Unmasking the Ghost in the Machine

In this foundational activity, students act as 'Data Detectives' to uncover how AI algorithms can inherit and amplify human biases. Using real-world datasets (such as hiring algorithms or facial recognition data), students will use mathematical modeling to identify statistical skews. This activity sets the stage for the Constitution by proving that AI is not inherently 'neutral' and requires human-led ethical oversight.

Steps

Here is some basic scaffolding to help students complete the activity.

1. Examine provided datasets (e.g., historical grading data or sports recruitment stats) to identify patterns of overrepresentation or underrepresentation.

2. Apply statistical measures (mean, median, mode, and percentage distribution) to quantify the level of bias present in the 'Deepfake Decree' logic.

3. Research the 'Black Box' problem in Computer Science to understand why AI decisions are often difficult for humans to trace.

4. Write a reflection on how these mathematical biases could unfairly impact specific student groups in a school setting.

Final Product

What students will submit as the final product of the activityA 'Bias Audit Report' containing data visualizations (graphs/charts) that identify specific biases and a written summary of the ethical implications for the school community.

Alignment

How this activity aligns with the learning objectives & standardsAligns with IB MYP Mathematics (using mathematical strategies to solve problems in real-life contexts) and IB MYP Individuals and Societies (analyzing the role of individuals in shaping digital environments). It specifically addresses the learning goal of identifying and mitigating algorithmic biases through mathematical modeling.

Activity 2

The Tipping Point: Defining Disciplinary Boundaries

Students will branch out into specific 'Discipline Committees' (Science, PE, Art, or Religious Studies) to investigate the 'Tipping Point'—the moment where AI assistance stops being a tool and starts eroding human skill. For example, in PE, they explore if AI-driven training plans replace physical intuition, or in Chemistry, if AI simulations replace the need for lab safety mastery. These findings will form the 'By-Laws' of the Constitution.

Steps

Here is some basic scaffolding to help students complete the activity.

1. Interview teachers and professionals in your assigned discipline to find out how they currently use or fear AI.

2. Conduct a 'Skill-Loss Assessment'—identify three core human skills in your subject that could be lost if AI is over-used.

3. Draft specific 'Boundary Clauses' for the constitution (e.g., 'In Biology, AI may be used to predict protein folding but not to replace the observation of live specimens').

4. Collaborate with the Art and Religious Studies groups to define 'Authentic Creation' vs. 'Algorithmic Mimicry.'

Final Product

What students will submit as the final product of the activityA 'Discipline Impact Matrix' that categorizes AI uses as 'Green' (Authentic Support), 'Yellow' (Conditional Use), or 'Red' (Integrity Violation) for their specific subject.

Alignment

How this activity aligns with the learning objectives & standardsAligns with IB MYP Sciences (evaluating the impact of scientific developments) and IB MYP (recognizing rights and responsibilities in a digital world). It addresses the learning goal of assessing AI's impact on human cognitive and physical skill development.

Activity 3

Global Voices: The Multilingual Ethical Bridge

Digital ethics are not universal; they are viewed differently across cultures. In this activity, students translate the core principles of their developing constitution into the school’s taught foreign languages. They must go beyond literal translation to ensure that concepts like 'privacy,' 'ownership,' and 'fairness' resonate with the cultural nuances of each language, ensuring the Constitution is truly 'Global.'

Steps

Here is some basic scaffolding to help students complete the activity.

1. Draft the 'Core Tenets' of the Constitution in English, focusing on clarity and active voice.

2. Use language acquisition skills to translate these tenets into a target foreign language (e.g., Spanish, French, Mandarin).

3. Compare terms; for instance, does the word for 'Privacy' in your target language carry the same weight as it does in English? Adjust the phrasing to respect cultural nuance.

4. Peer-review translations with native speakers or advanced learners to ensure the tone is authoritative yet inclusive.

Final Product

What students will submit as the final product of the activityA Multilingual Preamble and 'Glossary of Ethics' presented in at least three languages, highlighting cultural differences in digital rights.

Alignment

How this activity aligns with the learning objectives & standardsAligns with IB MYP Language Acquisition (communicating in a variety of contexts) and IB MYP English (synthesizing information from range of sources). It meets the goal of demonstrating intercultural competence and translating ethical guidelines.

Activity 4

The Ratification Summit: Coding the Future of School Policy

In the final phase, all committees come together for a 'Constitutional Convention.' Students must synthesize the data from the Bias Lab, the boundaries from the Discipline Committees, and the cultural insights from the Language Bridge into one cohesive document. They will present their 'Global AI Constitution' to a panel of 'Stakeholders' (teachers, tech experts, and school leaders) to argue for its adoption as official school policy.

Steps

Here is some basic scaffolding to help students complete the activity.

1. Integrate all previous findings into a single, structured document with a Preamble, Articles, and an Amendment process.

2. Develop a 'Dispute Resolution' section that explains how the school will handle future AI ethical dilemmas not covered by the current text.

3. Design a visual layout for the Constitution that uses Art and Technology skills to make the policy accessible and engaging.

4. Present the final Constitution in a mock 'Ratification Summit,' defending the policy against questions from a panel of experts.

Final Product

What students will submit as the final product of the activityThe Global AI Constitution: A polished, digital, and multilingual policy document featuring a data-backed rationale, discipline-specific rules, and an enforcement framework.

Alignment

How this activity aligns with the learning objectives & standardsAligns with IB MYP Individuals and Societies (evaluating the role of societies in shaping global environments). It fulfills the final goal of designing an iterative, evidence-based policy document.

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Rubric & Reflection

Portfolio Rubric

Grading criteria for assessing the overall project portfolio

The Global AI Constitution: Multidisciplinary Ethical Framework Rubric

Category 1

Data Literacy and Algorithmic Analysis (Math/CS)

Evaluates the student's ability to apply mathematical and computational thinking to uncover algorithmic inequities.

Criterion 1

Quantitative Analysis and Bias Auditing

Ability to use mathematical modeling and statistical measures to identify, quantify, and explain biases within AI datasets and algorithms.

Exemplary

4 Points

Demonstrates sophisticated mathematical modeling; accurately identifies complex statistical skews and provides a highly nuanced analysis of the 'Black Box' problem with innovative data visualizations.

Proficient

3 Points

Demonstrates thorough understanding of statistical measures; identifies clear patterns of bias and uses appropriate charts to justify the ethical implications for the school.

Developing

2 Points

Shows emerging understanding of data patterns; identifies basic biases but mathematical justifications or visualizations are inconsistent or partially developed.

Beginning

1 Points

Shows initial understanding of data; struggles to identify bias or apply mathematical measures correctly. Data visualizations are incomplete or missing.

Category 2

Ethical Evaluation and Disciplinary Integrity (Science/Arts/PE)

Evaluates the student's ability to assess AI impact across diverse subjects and propose integrity frameworks.

Criterion 1

Disciplinary Ethics and Boundary Setting

Ability to evaluate the impact of AI on human cognitive/physical development and establish clear, subject-specific ethical boundaries for its use.

Exemplary

4 Points

Synthesizes a sophisticated 'Discipline Impact Matrix' with profound insights into the human-tech balance; boundary clauses are highly specific, evidence-based, and innovative.

Proficient

3 Points

Develops a clear and effective 'Discipline Impact Matrix'; provides a logical rationale for 'Green, Yellow, Red' zones and identifies relevant skill-loss risks.

Developing

2 Points

Produces a basic impact matrix; categories for AI use are defined but lack depth or consistent logical connection to disciplinary skill development.

Beginning

1 Points

Struggles to define disciplinary boundaries; provides limited or superficial assessment of how AI impacts human skill or academic integrity.

Category 3

Global Communication and Intercultural Competence (Language)

Evaluates the ability to communicate ethical standards across linguistic and cultural boundaries.

Criterion 1

Multilingual Synthesis and Cultural Nuance

Ability to translate ethical concepts across languages while maintaining cultural nuance and ensuring global accessibility.

Exemplary

4 Points

Demonstrates advanced intercultural competence; translations are culturally resonant rather than literal, showing sophisticated understanding of linguistic nuances in digital rights.

Proficient

3 Points

Communicates ethical tenets clearly in multiple languages; translations are accurate and show effective consideration of cultural context and terminology.

Developing

2 Points

Translations are mostly accurate but literal; shows emerging awareness of cultural differences in concepts like privacy but lacks depth in adaptation.

Beginning

1 Points

Translations are incomplete or contain significant errors; shows limited understanding of how cultural context influences ethical language.

Category 4

Interdisciplinary Policy Design (Social Studies/Synthesis)

Evaluates the final integration of data, ethics, and language into a unified school policy document.

Criterion 1

Policy Synthesis and Collaborative Defense

Ability to synthesize interdisciplinary findings into a cohesive policy document and defend it through evidence-based argumentation.

Exemplary

4 Points

Produces an outstanding, professional-grade Constitution with a visionary dispute resolution framework; presentation is persuasive and demonstrates leadership.

Proficient

3 Points

Synthesizes all components into a coherent and polished document; policy is evidence-based and defended effectively during the ratification summit.

Developing

2 Points

Assembles previous activities into a single document but transitions are weak; the policy lacks a robust enforcement or dispute resolution framework.

Beginning

1 Points

The final document is fragmented or missing key components; struggles to defend policy choices or justify the rationale behind the constitution.

Reflection Prompts

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

Question 1

How did combining data analysis (Math/CS) with cultural nuances (Languages) and disciplinary boundaries (Science/Arts) help you create a more effective Global AI Constitution?

Text

Required

Question 2

On a scale of 1-5, how confident do you feel in your ability to distinguish between 'AI-assisted support' and 'human-led authentic creation' in your future schoolwork?

Scale

Required

Question 3

Which phase of the 'Global AI Constitution' project presented the greatest ethical challenge for your team to solve?

Multiple choice

Required

Options

Identifying and quantifying algorithmic bias (The Bias Lab)

Defining 'Tipping Points' for human skill loss (Discipline Committees)

Translating complex ethical concepts across languages (Global Voices)

Balancing diverse stakeholder needs in the final policy (Ratification Summit)

Question 4

Based on your work in the 'Global Voices' activity, why is it important for ethical AI policies to be multilingual and culturally sensitive rather than just a direct translation?

Text

Required

Question 5

How robust and future-proof do you believe your team's 'Amendment Process' is for handling AI technologies that haven't been invented yet?

Scale

Required