AI Bias Detectives: Uncovering Bias in News
Inquiry Framework
Question Framework
Driving Question
The overarching question that guides the entire project.How can we become responsible digital citizens by identifying AI bias in news and navigating online sources responsibly?Essential Questions
Supporting questions that break down major concepts.- What is AI bias, and how can we detect it in online news sources?
- How does AI bias impact the information we receive and our understanding of the world?
- What skills are needed to navigate online sources responsibly and identify biased information?
- How can we apply critical thinking to question and validate sources of information online?
- What tools can help us identify and understand AI bias in media?
- How do our actions as digital citizens affect the spread of biased information?
- What are the ethical responsibilities of digital citizens in reducing AI bias in journalism?
Standards & Learning Goals
Learning Goals
By the end of this project, students will be able to:- Understand how AI bias occurs and its effects on journalism and news reporting.
- Investigate the impact of AI bias on public perception through media.
- Analyze multiple news stories to identify and compare biases.
- Explore solutions and strategies to mitigate AI bias in news reporting.
Common Core Standards
ISTE Standards for Students
Next Generation Science Standards
Entry Events
Events that will be used to introduce the project to studentsThe AI Black Box Challenge
Kick off the project with an interactive 'escape room' where students must solve puzzles related to AI training data to unlock clues about bias. This hands-on challenge links directly to understanding how AI is trained and invites students to think critically about data transparency in AI systems.Portfolio Activities
Portfolio Activities
These activities progressively build towards your learning goals, with each submission contributing to the student's final portfolio.Bias Detection Lab
Students will analyze different news articles to detect biases introduced by AI algorithms.Steps
Here is some basic scaffolding to help students complete the activity.Final Product
What students will submit as the final product of the activityReflective summaries on bias detection in various news articles.Alignment
How this activity aligns with the learning objectives & standardsCovers CCSS.ELA-LITERACY.RI.6.7 by evaluating information from articles and ISTE-6a for using tools to analyze bias.Rubric & Reflection
Portfolio Rubric
Grading criteria for assessing the overall project portfolioAI Bias Detection and Analysis Rubric
Critical Analysis of Bias
Assessment of students' ability to identify and critically analyze bias in AI-driven news articles.Identification of Bias Indicators
Evaluates the ability to recognize and articulate specific bias indicators in AI-generated or AI-influenced news articles.
Exemplary
4 PointsEffectively identifies multiple, specific bias indicators with clarity and precision, providing detailed examples from the articles.
Proficient
3 PointsIdentifies several clear bias indicators, providing appropriate examples from the articles.
Developing
2 PointsIdentifies some bias indicators, with limited examples and explanation.
Beginning
1 PointsStruggles to identify bias indicators, with minimal or no examples provided.
Analysis of Bias Impact
Assesses the analysis of how identified biases might impact the audience's understanding and perception.
Exemplary
4 PointsProvides an insightful analysis of the impact of biases, connecting them to broader societal implications.
Proficient
3 PointsProvides a clear analysis of the impact of biases with some connection to wider implications.
Developing
2 PointsProvides a basic analysis of the impact of biases, with limited connection to broader implications.
Beginning
1 PointsProvides minimal analysis of the impact, with little or no connection to broader implications.
Reflective Writing and Communication
Assessment of students' ability to effectively communicate their findings and reflections in writing.Clarity and Organization
Measures the organization and clarity of the reflective summary.
Exemplary
4 PointsThe reflective summary is well-organized and exceptionally clear, presenting ideas in a logical and thoughtful manner.
Proficient
3 PointsThe reflective summary is organized and clear, with ideas presented logically.
Developing
2 PointsThe reflective summary shows some organization, but ideas may be unclear or unordered.
Beginning
1 PointsThe reflective summary lacks organization and clarity, with ideas presented in a confusing manner.
Use of Evidence
Evaluates the use of evidence to support claims in the reflective summary.
Exemplary
4 PointsSkillfully uses evidence from the articles to support claims, providing comprehensive analysis.
Proficient
3 PointsUses evidence from the articles to support claims, with clear analysis.
Developing
2 PointsUses some evidence to support claims, but analysis may be minimal.
Beginning
1 PointsProvides little to no evidence to support claims, with inadequate analysis.
Digital Citizenship and Ethical Understanding
Assessment of awareness and understanding of digital citizenship and ethical responsibilities related to AI bias.Understanding of Digital Citizenship
Measures understanding of ethical responsibilities in identifying and mitigating AI bias.
Exemplary
4 PointsDemonstrates deep understanding of ethical responsibilities and effectively discusses ways to mitigate AI bias.
Proficient
3 PointsShows good understanding of ethical responsibilities and discusses ways to mitigate AI bias.
Developing
2 PointsDisplays basic understanding of ethical responsibilities, with limited discussion of mitigation strategies.
Beginning
1 PointsShows minimal understanding of digital citizenship and ethical responsibilities, with little discussion of mitigation.