Description
Algorithmic Discrimination & Inclusive Design | CS Ethics Assignment | Digital Case Study + Rubric
Help students critically examine algorithmic discrimination through a structured, real‑world computer science ethics case study. This digital assignment guides learners to identify the root human causes of bias (race, gender, class, unconscious bias, age, disparity, and more) before analyzing how those biases become embedded in technology and algorithms.
Students explore real examples such as ridesharing platforms, hiring algorithms, facial recognition systems, and credit scoring models—then propose ethical, inclusive design solutions grounded in established ethical theories.
This resource is ideal for high school computer science, AP CSP, intro CS, IT, or college ethics courses.
What’s Included
- Student‑ready digital assignment document
- Clear Root Cause → Algorithm Analysis framework
- Choice‑based discrimination case categories
- Written OR video submission option (UDL‑aligned)
- Teaching tips for deeper ethical reasoning
- Editable grading rubric (25 points)
- Works with Google Docs, Google Slides, or Word
Learning Objectives - Students will:
- Identify root causes of discrimination in technology
- Analyze how bias becomes embedded at the algorithmic level
- Evaluate real‑world impacts using research and evidence
- Propose inclusive, ethical software design solutions
- Apply ethical theories (utilitarianism, deontology, virtue ethics, justice/fairness)
How It Works
- Students select a root cause of discrimination
- Analyze a real technology or platform
- Explain algorithmic bias using research and statistics
- Propose a corrective inclusive design solution
- Connect their solution to an ethical framework
- Submission options include a formatted written response or a captioned 2–3 minute video presentation.
Best For
- Computer Science
- AP Computer Science Principles
- Technology & Society
- Digital Citizenship
- Ethics in STEM
- College intro‑level CS or IT courses
Keywords
algorithmic bias computer science ethics inclusive design CS ethics assignment technology discrimination AI bias digital citizenship ethical technology social impact of computing AP CSP ethics STEM ethics computer science homework
Algorithmic Discrimination & Inclusive Design | CS Ethics Assignment
Highlights
Description
Algorithmic Discrimination & Inclusive Design | CS Ethics Assignment | Digital Case Study + Rubric
Help students critically examine algorithmic discrimination through a structured, real‑world computer science ethics case study. This digital assignment guides learners to identify the root human causes of bias (race, gender, class, unconscious bias, age, disparity, and more) before analyzing how those biases become embedded in technology and algorithms.
Students explore real examples such as ridesharing platforms, hiring algorithms, facial recognition systems, and credit scoring models—then propose ethical, inclusive design solutions grounded in established ethical theories.
This resource is ideal for high school computer science, AP CSP, intro CS, IT, or college ethics courses.
What’s Included
- Student‑ready digital assignment document
- Clear Root Cause → Algorithm Analysis framework
- Choice‑based discrimination case categories
- Written OR video submission option (UDL‑aligned)
- Teaching tips for deeper ethical reasoning
- Editable grading rubric (25 points)
- Works with Google Docs, Google Slides, or Word
Learning Objectives - Students will:
- Identify root causes of discrimination in technology
- Analyze how bias becomes embedded at the algorithmic level
- Evaluate real‑world impacts using research and evidence
- Propose inclusive, ethical software design solutions
- Apply ethical theories (utilitarianism, deontology, virtue ethics, justice/fairness)
How It Works
- Students select a root cause of discrimination
- Analyze a real technology or platform
- Explain algorithmic bias using research and statistics
- Propose a corrective inclusive design solution
- Connect their solution to an ethical framework
- Submission options include a formatted written response or a captioned 2–3 minute video presentation.
Best For
- Computer Science
- AP Computer Science Principles
- Technology & Society
- Digital Citizenship
- Ethics in STEM
- College intro‑level CS or IT courses
Keywords
algorithmic bias computer science ethics inclusive design CS ethics assignment technology discrimination AI bias digital citizenship ethical technology social impact of computing AP CSP ethics STEM ethics computer science homework
