Module 1
Lessons 1-9
The first module introduces students to the world of Artificial Intelligence exploring examples of technology, learning about simple algorithms and decision trees and delving into the ethical principles of AI.
Keywords: data, algorithm, intelligent result, human agency, human oversight, ethical principles and bias, real-life scenarios, discussions, group work, presentations, constructive feedback.
Lesson
1
Orientation to Developing AI Competencies
Regarding AI, students start by discussing myths versus realities, discover applications of AI, how it learns and are introduced to a short history of AI.
Core Learning Objectives
Understands what AI is, and what AI is not.
Provides examples of AI in everyday life.
Lesson
2
Human-AI Interaction
In the second lesson, students are engaged in brainstorming what AI can do and what the human mind can do, recognizing strengths and weaknesses in both cases.
Core Learning Objectives
Articulates what AI is, and what AI is not and provides examples of AI in everyday life.
Reflects on the role of humans and AI in different real-life scenarios.
Lesson
3
Human Agency in AI interactions
Students debate human agency in a study-case based on a real event, moving on to a game of ”What is and is not AI”, articulating their opinions.
Core Learning Objectives
Articulates what AI is, and what AI is not.
Recognizes AI as human-led, and presents the importance of human agency and oversight.
Lesson
4
Decision Trees I
The fourth lesson is an introduction to algorithms used by AI with an application for a simple algorithm based on decision trees.
Core Learning Objectives
Describes a contextually relevant example of human oversight of AI.
Describes a common AI algorithm and how it works.
Lesson
5
Decision Trees II
Exploration of decision trees continues in lesson 5 with concrete exercises of sorting and classifying different types of pasta.
Core Learning Objectives
Describes a common AI algorithm, how it works, and general use cases for it.
Describes a contextually relevant example of human oversight of AI.
Lesson
6
Ethical AI Principles
Students discover the core ethical principles of AI and explore examples where ethical risks might occur.
Core Learning Objectives
Defines ethical principles in AI: fairness and non-discrimination, privacy, security, transparency, explainability.
Describes core ethical challenges that may arise in AI.
Lesson
7
Ethical AI Group Work
Students work in groups on case studies of real-life situations where ethical concerns were raised around the use of AI.
Core Learning Objectives
Defines ethical principles in AI: fairness and non-discrimination, privacy, security, transparency, explainability.
Describes core ethical challenges that may arise in AI.
Lesson
8
A Presentation on an Ethical AI Principle I
In groups, students design a creative presentation based on an AI principle of their choice.
Core Learning Objectives
Evaluates the benefits and risks of deploying different AI technologies.
Understands legal privacy and data-sharing protections in their own national context, as well as personal rights and local laws as they pertain to AI.
Lesson
9
A Presentation on an Ethical AI Principle II
In groups, students deliver the presentation they worked on in the previous lesson and offer constructive feedback on the work of their colleagues.
Core Learning Objectives
Evaluates the strengths and weaknesses of human vs. AI capabilities.
Reflects on the human agency to direct artificial intelligence, and the implications of the conscious decision to use machine-based tools.
Module 2
Lessons 10-16
In the second module, students will use generative AI tools to create images and text while working in group projects. They will critically evaluate AI features used by popular digital platforms and understand their purposes, intentions by using the Ethical Stakeholders Matrix.
Keywords: chatbots, generative AI, image generation, copyright and intellectual property, security and privacy, AI-generated content, Ethical Stakeholders Matrix.
Lesson
10
Generate images with AI
Students engage with a generative AI tool for images in a challenge-based activity and experience first-hand the potential and limitations of such platforms.
Core Learning Objectives
Explores and reflects on the ways in which AI technologies can be applied to other domains (e.g. art).
Leverages AI tools to create or refine products across different learning domains/subjects.
Lesson
11
Generate text with AI I
This time students engage with a generative AI tool for text. They work in groups on a challenge-based activity and experience first-hand the potential and limitations of such platforms.
Core Learning Objectives
Takes action to ensure their own security and privacy in digital environments.
Understands ownership of content created using AI, and respects intellectual property rights.
Lesson
12
Generate text with AI II
Students continue their exploration of generative AI with chatbots and critically assess the relevance, accuracy, and bias of the text produced.
Core Learning Objectives
Explores and reflects on the ways in which AI technologies can be applied to other domains (art, music, motion, creative writing, history, etc.).
Recognizes digital manipulation of content or AI-generated content.
Lesson
13
Algorithms as Opinions
This lesson is centered around analyzing different types of platforms and their algorithms: from social media to mailing tools.
Core Learning Objectives
Explores different types of AI algorithms and what they do.
Understands the role of human opinion in creating algorithms.
Lesson
14
Ethical Stakeholder Matrix I
In this lesson, students learn about the Ethical Stakeholder Matrix and how it should be used when optimising algorithms to serve different purposes.
Core Learning Objectives
Explores different stakeholder interests in artificial intelligence.
Understands how to evaluate stated and unstated purposes of AI.
Lesson
15
Ethical Stakeholder Matrix II
Students work in groups to apply the Ethical Stakeholder Matrix in the analysis of a popular social media platform.
Core Learning Objectives
Works collaboratively to deepen their own expertise and create better products.
Presents to peers, giving and receiving “critical friend” feedback.
Lesson
16
Analyzing a video streaming platform’s AI
Students work in groups to critically analyze different features of popular video streaming platforms and how AI is used to create a personalized experience for users.
Core Learning Objectives
Applies ethical AI principles to critically analyze AI technologies and their outputs.
Reflect on the human agency to direct artificial intelligence and the implications of the conscious decision to use machine-based tools.
Module 3
Lessons 17-24
During the third module, students will continue their learning by applying ethics to their analysis of a popular shopping platform, exploring Deep Fakes, review and designing AI public policies and a child-care robot.
Keywords: Deep Fakes, AI system design, AI citizenship, public policies, environmental implications, designing a child-care robot, ethics by design
Lesson
17
AI Ethics and Deep Fakes
Students sharpen their analyzing skills by exploring Deep Fakes, learning how to identify them and discussing the risks associated with using Deep Fakes.
Core Learning Objectives
Explains how the decisions of AI creators impact system outcomes.
Assesses the purpose and intention of an AI product, including beyond what is explicitly stated.
Lesson
18
Ethics by Design
Students critically evaluate the features of a popular shopping platform, assessing its objectives and functions.
Core Learning Objectives
Assesses the purpose and intention of an AI product, including beyond what is explicitly stated.
Reflects on the parameters for appropriate data to use in the training and validation of AI models.ă asupra parametrilor pentru datele adecvate de utilizat în instruirea și validarea modelelor IA.
Lesson
19
AI Citizenship
This lesson focuses on active citizenship and empowers students to discover their potential to influence public policies.
Core Learning Objectives
Critically evaluates the impact of AI technologies on employment, and social and cultural norms.
Competently engages in decision-making processes relating to AI policy.
Lesson
20
AI Policy Analysis
Starting from a fictional country policy, students critically analyze the goals, principles and values of the document, preparing the next steps in the following lesson.
Core Learning Objectives
Considers the environmental footprint of developing and deploying AI technologies, as part of AI decision-making.
Critically evaluates the impact of AI technologies on employment, and social and cultural norms.
Lesson
21
AI Policy Redesign
Students work in groups to redesign the fictional policy from the previous lesson, considering important aspects that lead to a better society, such as the environmental implications.
Core Learning Objectives
Considers the environmental footprint of developing and deploying AI technologies, as part of AI decision-making.
Competently engages in decision-making processes relating to AI policy.
Lesson
22
AI System Design
In the next lessons, students will apply their AI knowledge to design a childcare robot by defining its purpose, mapping ethical stakeholders, considering design features, and addressing ethical challenges.
Communicates the purpose, process, and data use of AI creations.
Reflects on and communicate artistic, social, cultural and/or ethical considerations when creating artifacts with AI tools.
Lesson
23
Feedback in AI System Design
The next stage of their project is evaluating and giving and receiving feedback. Each team will evaluate another team’s design, exercising their critical thinking.
Core Learning Objectives
Communicates the purpose, process, and data use of AI creations.
Provides and receives constructive feedback. Reflects on feedback received.
Lesson
24
Iteration in AI System Design
This lesson enables students to improve their original designs while preparing them for the final group project.
Core Learning Objectives
Reflects on and communicate artistic, social, cultural and/or ethical considerations when creating artifacts with AI tools.
Provides and receives constructive feedback. Reflects on feedback received.
Modulul 4
Lecțiile 17-24
Module 4 concludes the course in a series of sessions where students work on their group project, designing a learning experience on AI for their community.
Keywords: brainstorming, teamwork, planning, design, feedback, presentation. lucru în echipă, planificare, design, feedback, prezentare.
Core Learning Objectives
Leverages socio-emotional competencies to work with others to create a lesson to help teach community members about AI.
Reflects on any ethical, data-oriented, and environmental implications of their AI lesson.