Saiph Savage, Assistant Professor

Teaching: Culture-Centered AI Design 🗺️

Across the world, AI systems influence who is prosecuted, who is fired, and who receives medical treatment. Yet many of these systems are conceived for Silicon Valley contexts. They often fail to account for the realities of the Global South or rural America. They also often constrain local creativity and can harm communities they were not designed for.

As designers and builders of AI, can we imagine systems that travel well across cultures and regions? How do we anticipate bias before deployment, and how do we guard against unintended consequences? What does equitable, accountable, and culturally grounded AI look like in practice?

In this seminar, students will survey the research landscape on globally aware AI, with a focus on interface and system design. Each week we will read and discuss work on cross-cultural design, fairness and accountability, participatory and community-centered methods, and case studies from multiple regions. We will analyze when interfaces succeed, when they fail, and why. Students will complete a research project that builds, evaluates, or theorizes a design of an AI system aimed at real-world use beyond the West, with explicit attention to local context, collaboration, and impact.

Lectures include:

Concepts about culture and cultural models, and how those can influence design decisions in creating intelligent interfaces.
Practical knowledge on how to design and program AI based interfaces for different cultures
An overview and functional understanding of the different types of intelligent interfaces that exist, and deep understanding of where and how these intelligent interfaces can harm and benefit particular cultures.

Course Objectives.

Upon completion of this course, you will:

Have Foundational Knowledge about how culture and culture models should influence the design of intelligent interfaces.
Be aware of the role that history and tradition can play in designing intelligent interfaces.
Understand how particular intelligent interfaces can bring harms, conflicts, opportunities and joy to particular cultures.
Understand the role that international policies and geopolicies play in deciding the type of intelligent interfaces to design.
Be able to discuss and analyze the impact culture can have on a given intelligent interface.
Be able to identify how certain intelligent interfaces can promote racism, ableism, sexism, and be overall problematic for certain cultures.
Discuss solutions to address cultural conflicts when designing intelligent interfaces.

Grading.

30% Seminar Leadership & Presentations: Leading the discussion on selected research papers with your team.
10% Weekly Reading Reflections: Readings, videos, and audios that connect to AI and cultural contexts.
30% Mini Projects: Hands-on exploration about AI and culture, such as auditing a model for cultural bias.
30% Final Project & Symposium: A final deep-dive paper or artifact, presented in a final “mini-conference.”

Want to teach this class at your own university? Please reuse, adapt, and share my slides, assignments, and course materials. I'd love to hear how the course works in your context and how I could improve it. Please email me!

This course material is licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) . You are free to share and adapt the material for any purpose, provided appropriate credit is given.

Week 1: Introduction to Culture-Centered AI Design 🗺️

This week will be: Course Overview, Objectives, Instructor information, what does it mean to think, work globally, understanding different types of work patterns for designing interfaces for different cultures, examples of global work.

Slides are: here

Assignment 1: 1-page summary of who you are 📕

Include information about:

Your cultural and linguistic background.
Background in intelligent user interfaces.
A bit of what you know or have done with artificial intelligence.
What you're looking to get out of class.

Assignment 2: Probing Cultural Bias & Algorithmic Homogenization 📘

I. Required Materials

Readings

"Shakespeare in the Bush" by Laura Bohannan:
"The Meaning of ‘Culture’" by Joshua Rothman:

Videos

AI: The Cultural Map Maker (Val Nilsson feat. Angelo Paolillo): Watch on YouTube
Culturally Aware Machines: Why and when are they useful? (Microsoft Research): Watch on YouTube

II. Reflection & Synthesis (400–600 Words)

Answer the following questions by drawing direct connections between the texts and the videos.

The "Universal" Fallacy
In "Shakespeare in the Bush," Bohannan initially believes that "human nature is pretty much the same the whole world over" and that Hamlet is "universally obvious".
Question: How does this "universalist" approach mirror the data bias discussed in the Microsoft Research video regarding how LLMs represent (or misrepresent) the 88% of the world’s languages and cultures? What happens when a machine (or an anthropologist) assumes their logic is the "default" logic?

The Cybernetic Loop
The "Cultural Map Maker" video describes a "cybernetic loop" where we provide cultural data to AI, and the AI’s responses then shape our own behavior and beliefs.
Question: Connect this to Joshua Rothman’s discussion on culture as a "total way of life." If AI acts as a "map maker" that defaults to Western frameworks, how might this accelerate the "cultural homogenization" mentioned in the Microsoft talk, specifically the risk of "thin descriptions" replacing lived experiences?

Metacultural Awareness
Monojit Choudhury (Microsoft Research) identifies three principles of "Metacultural Awareness": Variational Awareness, Explication, and Negotiation.
Question: Use these three terms to analyze the interaction between Bohannan and the Tiv elders. At what point did Bohannan fail to "explicate" her uncertainty, and how did the Tiv elders use "negotiation" to reshape her story into their own cultural framework?

III. Submission & Evaluation Policies

You will receive 100 points for submitting your assignment. But, if you are not able to explain your responses when asked in class you will receive an automatic "0" points.

Week 2: Culture and AI

This week, we will be exploring:

Delving into Culture: Understanding the core concepts of culture and how it shapes user behavior.
Culture and AI: Examining the intersection of human culture and artificial intelligence.
Real-World Failures: Examples of AI systems that failed to consider culture and the problems they generated.
The Case for Integration: Why it is critical to integrate cultural context into AI design.
Layers of Culture: Introduction to the framework for analyzing cultural nuances.

Slides: Weeks 2:Culture and AI

Mini Design Assignment: Designing Culturally Aware AI Smart Glasses for Nigeria

Why this assignment

AI systems are often designed using assumptions from the Global North, such as stable connectivity, individualistic norms, and standardized language. This project asks you to redesign an AI product for Nigeria using the Layers of Culture framework. Your goal is to show how culture, infrastructure, law, and social norms must shape AI behavior, not just the interface.

Scenario

Company: Apple
Concept Product: Project Sight, AI-integrated smart glasses
Capabilities: real-time audio feedback, translation, navigation, task assistance
Target context: Nigeria, focusing on Lagos or Abuja

What You Will Produce

Submit one PDF that includes the following five sections.

Layers of Culture Table (30%)
Complete a table with two columns for each layer:
- Nigeria research and context
- Concrete design implications for the AI system
Layers to address: Task, Infrastructure, Legal, Market, Language, Culture.
Your design implications must be specific. Avoid phrases like “make it culturally sensitive” without explanation.

Hardware Mockup (30%)
Create a visual mockup of the smart glasses.

Interface Mockup (30%)
Show what the user sees or hears while using the glasses.

Written Design Justification (10%)
Write 350 to 600 words explaining how your design decisions are shaped by each layer of culture. You must reference all six layers and clearly connect them to features, defaults, or AI behaviors.

What We Are Looking For

Nigeria-specific reasoning
Clear links between culture and AI behavior
Thoughtful and well-explained design choices

Reading Assignment: Evaluating Western Design Frameworks

Objective: Evaluate the role and limitations of Western design frameworks when they are applied to diverse global populations. Please read and watch the materials listed below, then submit a short response addressing the questions that follow.

Part 1: Required Viewing

Video A: 39. Cross-Cultural UX Research (Feifei Liu, NNgroup): Watch on YouTube
Video B: Designers Without Borders (Ruby Pryor, Beyond UX Design): Watch on YouTube

Part 2: Critical Analysis Questions

The "Standardization vs. Localization" Paradox
Feifei Liu discusses how companies often seek a "unified" global experience to save costs.
The Provocation: If a company like Apple or Google standardizes an AI interface for efficiency, are they helping to "bridge the digital divide," or are they engaging in "Cultural Imperialism" by forcing Western mental models on the Global South?
Application: Using the Culture Layer, identify one specific AI interaction (e.g., a voice assistant's tone) that might feel helpful in California but could be perceived as "disrespectful" or "intrusive" in your target country.

Design as a Proxy for Infrastructure
Ruby Pryor highlights that design often fails because it assumes a "perfect user" (e.g., someone with unlimited data, the latest iPhone, and constant 5G).
The Provocation: When an AI wearable is designed to be "always-on" and "cloud-dependent," who are we accidentally excluding from the future?
Application: Look at the Infrastructure Layer. If your AI tool requires a cloud connection to function, how does its value change during a "rolling blackout" or in a region with high data costs? How must the UI communicate this limitation to the user without making them feel like a "second-class" customer?

The Legal and Moral "Gray Zone"
Both experts touch on the reality that laws (The Legal Layer) often lag behind technology.
The Provocation: In many Global South countries, privacy laws are still evolving. Does a Big Tech company have a moral obligation to implement higher privacy standards than what the local law requires, or should they simply follow local norms, even if those norms allow for more surveillance?

Submission & Evaluation Policies
You will receive 100 points just for submitting the assignment, but you will get a "0" if you cannot engage with the content of the assignment in class.

Week 3: Layers of Culture and Design

This week, we will be exploring:

Layers of Culture: Understanding how culture operates across different levels and how these layers shape design decisions.
Pace Layering: Examining how different cultural, social, and technological systems change at different speeds.
Companies, Nationalities, Technologies, and Culture: Exploring how organizational cultures, national contexts, and technologies interact in design.
Culture and Design: Learning how cultural context can inform more inclusive and effective interface design.

Slides: Week 3: Layers of Culture and Design

Assignment 1: Final Project Definition

Objective

Submit a one-page summary of your final project idea. Your project should propose a culturally aware AI tool that addresses a real-world problem while accounting for the cultural context, language, norms, infrastructure, and values of the people it is designed for.

This assignment is meant to help you begin developing your final project. You will earn 100 points for submitting it.

What to Include in Your One-Pager

Project Title: Give your AI tool a clear, compelling name.
Problem Statement: Describe the problem, why it matters, and where it occurs.
Target Users and Cultural Context: Identify who will benefit from your AI tool and describe their cultural context.
Proposed AI Solution: Explain what the AI tool does, how people interact with it, and what outputs it produces.
Culturally Aware Design Elements: Explain how your design accounts for language, norms, infrastructure, privacy, institutions, community values, or social expectations.
Potential Stakeholders for Feedback: Identify people or organizations who could provide feedback, such as community groups, worker associations, NGOs, employers, advocacy groups, re-entry organizations, or local cultural experts.

Submission Details

Length: Maximum 1 page
Format: PDF preferred
Teams: You may work individually or in teams, but each team member must submit their own document. Team members may submit the same one-pager if they are aligned on a shared project direction.

Important Note

This assignment counts toward your mini design projects grade and is intended to help you develop and refine ideas for your final project. However, your final project will be evaluated solely on the work you ultimately submit for the final project, not on this one-page proposal.

Assignment 2: Reading and Reflection

Required Materials

Video 1: Hofstede's Onion Model - Introduction
Video 2: Hofstede's Onion Model and ChatGPT
Video 3: The Marketer's Guide to Gaming Culture
Reading 1: Verhulsdonck (2018). Designing for Global Mobile: Considering User Experience Mapping...
Reading 2: Brand (1999). Pace Layering: How Complex Systems Learn and Keep Learning.

Objective

Critically analyze the manifestations of culture, including Symbols, Heroes, Rituals, and Values. Reflect on how these cultural layers, together with infrastructure and different time scales, influence the success or failure of global AI systems.

Part 1: The Anatomy of Stability vs. Innovation

The Practice vs. The Value: In the "Introduction to Hofstede's Onion Model" video, culture is divided into outward Practices and an inner Value core. Compare this framework to Stewart Brand's Pace Layering model, where fast layers such as Fashion and Commerce innovate while slower layers such as Culture and Nature provide stability. Why might an AI system that only updates its outward symbols, interface, or branding fail if it does not remain grounded in the underlying values of the community it serves?
Fast Learns, Slow Remembers: Using Brand's framework, reflect on the challenges that emerge when AI systems evolve at the pace of technology while interacting with rituals and values that may change much more slowly. How can this mismatch create friction, resistance, or distrust among users?

Part 2: The Materiality of Cultural AI

AI Adaptability and the Infrastructure Gap: Video 2 suggests that AI systems must understand more than surface-level cultural symbols to be truly adaptable. Connect this argument to Verhulsdonck's discussion of material circumstances. How do factors such as internet connectivity, device access, and technological infrastructure influence the way users experience and interpret AI systems?
Beyond Symbols: If an AI system successfully adopts local slang, language, or symbols but fails to understand local contexts, beliefs, and practices, why might users still perceive it as untrustworthy or disconnected from their reality?

Part 3: Insider Culture and the Ethical Mirror

The Filter of Insider Knowledge: Video 3 describes how symbols and rituals can distinguish insiders from outsiders. Reflect on the ethical implications of AI systems attempting to emulate these cultural signals. Can an AI meaningfully participate in a culture without understanding its underlying values, or is it simply performing a superficial imitation?
AI as a Cultural Mirror: Scholars and practitioners often describe AI as a reflection of existing social values and biases. Drawing on the readings, explain how experience mapping and culturally aware design can help ensure AI systems account for hybrid contexts, local practices, and diverse perspectives rather than reproducing only dominant cultural assumptions.

Reflection Guidelines

This assignment is worth 100 points for completion.
You will be expected to discuss the readings and videos during class.
If you are unable to engage with the assigned materials and participate in discussion, you will receive a score of 0.

Week 4: Hofstede's Cultural Dimensions and AI Interface Design

This week, we will be exploring:

Culture and Intelligent User Interfaces: Understanding what designers need to know about culture to create effective and culturally aware AI systems.
Comparing Cultures: Examining which cultural similarities and differences are most important when designing intelligent user interfaces.
Models of Culture: Exploring frameworks used to study culture in HCI and AI research, with a particular focus on Hofstede's Cultural Dimensions Theory.
Hofstede's Dimensions: Learning how Hofstede characterizes cultures through dimensions such as Power Distance, Individualism vs. Collectivism, Uncertainty Avoidance, Masculinity vs. Femininity, Long-Term Orientation, and Indulgence vs. Restraint.
AI Across Cultures: Analyzing examples of AI interfaces that reflect different cultural dimensions and understanding how these design choices influence user experiences.
Cultural Tradeoffs in AI Design: Discussing how AI systems may be perceived positively in some cultures while creating challenges or resistance in others.
Design Exercise: Designing AI systems for different cultural contexts using Hofstede's dimensions as a guide for decision-making.

Slides: Week 4: Hofstede's Cultural Dimensions and AI Interface Design

Assignment 1: Final Project Progress Presentation

Prepare a short 3-minute presentation giving an update on your final project. Your presentation should explain what you will study, how you will study it, and how you plan to design for it.

All team members must submit this assignment individually. This assignment counts toward your mini design projects grade and is intended to help you build toward your final project.

Assignment 2: Mini Design: Coding for Cultural Intelligence

Objective

Move beyond static data and build a Cultural Logic Controller. You will code a Python script that allows an Artificial Intelligence system to dynamically shift its personality and decision-making priorities based on the cultural dimensions of its user.

Part 1: Choose Your Scenario

Before you code, choose one role for your Artificial Intelligence. This choice will determine what your incentives and tones look like:

Option A: The Health Coach, encouraging users to exercise or eat well.
Option B: The Financial Advisor, encouraging users to save money or invest.
Option C: The Technical Support Bot, helping users fix a broken internet router.

Part 2: The Coding Challenge

Your task is to build a CultureBot class. Instead of the Artificial Intelligence having one personality, it must use Hofstede's Dimensions to decide its behavioral strategy.

The Data Table

Country	Power Distance Index	Individualism	Uncertainty Avoidance Index	Long-Term Orientation
United States of America	40	91	46	26
Germany	35	67	65	83
Brazil	69	38	76	44
Vietnam	70	20	30	80

Requirements

Tone: Use Power Distance Index to decide whether the bot should be Authoritative for high Power Distance or Collaborative for low Power Distance.
Reward: Use Individualism to decide whether the Artificial Intelligence promises Personal Status for high Individualism or Community Harmony for low Individualism and Collectivism.
Safety Net: Use Uncertainty Avoidance Index to decide whether the Artificial Intelligence provides a Rigid Manual for high Uncertainty Avoidance or an Experimental Sandbox for low Uncertainty Avoidance.
Student Choice/Wildcard: Use Long-Term Orientation to create a custom feature. For example, if Long-Term Orientation is high, the Artificial Intelligence might mention a benefit for the year 2050. If Long-Term Orientation is low, the Artificial Intelligence might offer a benefit for today.

Starter Code Template

class CultureBot:
    def __init__(self, country, power_distance, individualism, uncertainty_avoidance, long_term_orientation):
        self.country = country
        self.power_distance = power_distance
        self.individualism = individualism
        self.uncertainty_avoidance = uncertainty_avoidance
        self.long_term_orientation = long_term_orientation

    def generate_response(self, task):
        # 1. SET THE TONE (Power Distance Index)
        # 2. SET THE INCENTIVE (Individualism vs. Collectivism)
        # 3. SET THE PRECISION (Uncertainty Avoidance Index)
        # 4. WILDCARD: THE TIMELINE (Long-Term Orientation)

        # Example logic for a 'Financial Advisor' bot:
        # if self.long_term_orientation > 70:
        #     return "Think of your grandchildren's inheritance."
        pass

# Instantiate bots for the class to test
usa_bot = CultureBot("United States of America", 40, 91, 46, 26)
brazil_bot = CultureBot("Brazil", 69, 38, 76, 44)

print(usa_bot.generate_response("Save $100"))
print(brazil_bot.generate_response("Save $100"))

Part 3: The Pace Layer Audit

In your project documentation, answer the following:

Shearing Layers: Imagine your Artificial Intelligence is a fast system, such as Fashion or Commerce, that updates every day. If it gives advice that contradicts a slow layer like tradition or culture in Vietnam, which layer will win in the long run? How did you code your Artificial Intelligence to avoid this conflict?
Infrastructure Constraint: Read Verhulsdonck (2018). If your Brazil user is accessing your Artificial Intelligence through a 10-year-old smartphone with a cracked screen and limited data, does your creative personality code help or hurt them? Should the Artificial Intelligence downgrade its personality to save the user's data?
Creative Justification: Why did you choose the specific tone or reward for your chosen scenario? For example: "I chose an Authoritative tone for the German Technical Support Bot because high Uncertainty Avoidance users want a clear expert to follow."

Submission

Your .py Python script: 70%
A brief reflection document answering the three questions above: 30%
Bonus: Add a fifth country to your data set and justify its scores using the official Hofstede country comparison tool. This is worth up to 10 extra points.

Week 5: Analyzing Global User Interfaces Through Cultural Dimensions

This week, we will be exploring:

Culture and Interface Design: Understanding how cultural dimensions influence the design of user interfaces and intelligent systems across different regions of the world.
Global User Interface Analysis: Examining websites, mobile applications, and AI-powered interfaces developed for different countries and cultures.
Connecting Design to Culture: Identifying how cultural dimensions such as Power Distance, Individualism, Collectivism, and Uncertainty Avoidance may have influenced interface features, interaction styles, and design decisions.
Comparing Design Approaches: Analyzing similarities and differences between interfaces from different cultural contexts and discussing why these differences may exist.
Evaluating Cultural Fit: Investigating how design choices can align with or conflict with the expectations, values, and preferences of different cultural groups.
Applying Hofstede's Framework: Using Hofstede's Cultural Dimensions Theory as an analytical tool to explain and critique user interface designs.
Design Reflection: Discussing how insights from cross-cultural interface analysis can help designers create more effective, inclusive, and culturally aware AI systems.

Goals of this week:

Understand more formally how cultural dimensions can affect the design of user interfaces and intelligent systems.
Analyze user interfaces from different parts of the world and identify how cultural dimensions may have influenced their design.
Apply Hofstede's Cultural Dimensions Theory to explain design decisions and user experiences.
Develop the ability to critically evaluate whether a user interface is culturally aligned with its intended audience.

Slides: Week 5: Analyzing Global User Interfaces Through Cultural Dimensions

Assignment 1: Cultural Dimensions Analysis

Required Readings and Video

Reading 1: Hofstede, G. - The Concept of Culture
Reading 2: Dimensionalizing Cultures: The Hofstede Model in Context
Reading 3: Understanding Cultural Differences
Video: Cultural Dimensions Overview

Instructions

For each reading and the video, provide the following:

Key Insights (2–4 lines): Summarize the most important ideas, concepts, or arguments presented in the reading or video. (12 points)
Implications for AI Design (2–4 lines): Explain how the ideas from the reading or video could influence the design of culturally aware AI systems or intelligent user interfaces. (13 points)

Grading

Reading 1: 25 points
Reading 2: 25 points
Reading 3: 25 points
Video: 25 points

Total: 100 points

Important Note

You will receive full credit for submitting the assignment. However, you will also be expected to discuss the readings and video during class. If you are unable to engage with the content during class discussions, you will receive a score of 0.

Assignment 2: Mini Design: AI Wearables for the Military

Scenario

Imagine you have been tasked with designing intelligent goggles that help members of the U.S. military have more effective interactions with civilians in foreign countries such as Russia, Ukraine, Afghanistan, or other regions with distinct cultural norms and practices.

Objective

Design a culturally aware AI wearable system and communicate your design through a short article that explains the technology, the cultural considerations that informed the design, and how the interface supports cross-cultural interactions.

Your Article Should Include:

Goggle Design and Concept (50%)
- Provide a diagram, storyboard, mockup, or visual representation of your intelligent goggles.
- Include a brief description (approximately one paragraph) explaining how the system works and how users interact with it.
- The goal is to clearly communicate your design idea rather than produce a polished prototype.
Cultural Dimensions and Cultural Elements (25%)
- Identify the cultural dimensions, cultural values, rituals, norms, symbols, or communication practices that are relevant to your design.
- Explain why these cultural factors matter in the context of military-civilian interactions.
Interface Design Features (25%)
- Describe the interface features your goggles would provide.
- Explain how these features help military personnel interact effectively with civilians.
- Relate your design decisions to the cultural theories discussed in class, including Hofstede's Cultural Dimensions Theory and other cultural frameworks.

Submission Requirements

Length: 2 pages, single-spaced
Include: Diagrams, mockups, storyboards, interface sketches, or other visual representations of your design.
Format: PDF preferred

Reference

Steed, B. (2009). Cultural Challenges Facing the Military

Grading

Goggle Design and Description: 50%
Cultural Analysis: 25%
Interface Design Features and Theory Integration: 25%

Week 6: AI and Cultural Perspectives on Time and Communication

This week, we will be exploring:

Culture and Interface Design: Understanding how cultural dimensions influence the design of user interfaces and intelligent systems across different regions of the world.
Global User Interface Analysis: Examining websites, mobile applications, and AI-powered interfaces developed for different countries and cultures.
Connecting Design to Culture: Identifying how cultural dimensions such as Power Distance, Individualism, Collectivism, and Uncertainty Avoidance may have influenced interface features, interaction styles, and design decisions.
Comparing Design Approaches: Analyzing similarities and differences between interfaces from different cultural contexts and discussing why these differences may exist.
Evaluating Cultural Fit: Investigating how design choices can align with or conflict with the expectations, values, and preferences of different cultural groups.
Applying Hofstede's Framework: Using Hofstede's Cultural Dimensions Theory as an analytical tool to explain and critique user interface designs.
Design Reflection: Discussing how insights from cross-cultural interface analysis can help designers create more effective, inclusive, and culturally aware AI systems.

Goals of this week:

Understand more formally how cultural dimensions can affect the design of user interfaces and intelligent systems.
Analyze user interfaces from different parts of the world and identify how cultural dimensions may have influenced their design.
Apply Hofstede's Cultural Dimensions Theory to explain design decisions and user experiences.
Develop the ability to critically evaluate whether a user interface is culturally aligned with its intended audience.

Slides: Week 6: AI and Cultural Perspectives on Time and Communication

Assignment 1: Student-Led Seminar

Assignment Type: Student-Led Seminar

Weight: 30% of Final Grade

Overview

In this assignment, your group will act as Seminar Leaders for half a class session (approximately 1 hour). Your goal is to move beyond simply presenting information and instead teach your classmates about a novel intersection between culture and Artificial Intelligence. You will curate learning materials, deliver a lecture, and facilitate an engaging classroom activity.

Topic Selection

Each group must choose one of the following topics or propose a new topic related to culture and AI:

Topic A: Global Philosophies and Non-Western AI Ethics
Topic B: Decolonial and Indigenous AI Design
Topic C: Preservation of Tangible and Intangible Heritage
Topic D: AI in the Creative Economy
Topic E: Socio-Technical Governance and Cultural Resilience

Deliverables

A. Preparatory Packet

Reading List (paper, book chapter, or essay)
Watch List (videos, documentaries, lectures)
250-word pre-class discussion prompt

B. Seminar Presentation

30–45 minute lecture
Professional and visually engaging slides
Clear explanation of both cultural and AI concepts
Presentation should not rely on reading from slides

C. Active Learning Activity

10–20 minute interactive activity
Examples: Misconception Detective, Reverse Engineering, Idea Line-Up

Submission Instructions

This is a group project.
Each student must submit the Learning Package individually.
One team member must submit the package to the TA and instructor on the Friday before the Monday seminar.

Week 7: UX, Culture Theory, and AI:

Describe the Standard Machine Learning Pattern
Determine where the Standard Pattern fails and how certain harms can emerge based on people's culture
Describe often Overlooked Factors that impact the Standard Pattern, especially when connected to culture
Define common Terminology used in talking about Machine Learning Performance
Justify where iteration is most important in machine learning, especially when thinking about culture

Start to understand:

How you can create machine learning models and AI interfaces for different regions in the world.
The fundamental technical problems in Human-AI interaction, and why it is especially difficult within global settings.

Week 4-5: UX, Culture Theory, and AI

Reading and Writing Assignments: Understanding AI Design for the Global South and Underrepresented Communities 📕:

Understanding ICTD: Paper
Social Justice and Design: Paper
Poverty and Technology: Paper

Key insights of reading (2-4 lines): 15 points
How you envision the reading could help your UX designs (2-4 lines): 15 points.