Viewfinder: AI Values Assessment Tool

Step 1: Select Scenario

Choose an AI scenario to explore

Choose Your Scenario

Select one scenario card that represents an AI implementation you want to explore, or create your own custom scenario.

Available AI Scenarios - Select One

Data Gathering

A social media company uses AI to scan users' public posts, classify posts by level of emotion, and monitor users' engagement with other posts.

Project Stage:
Post-implementation.

Data Modeling

A statistical consulting center is developing a GPT-based chatbot that will conduct the first intake meeting with potential clients to help guide their data analysis.

Project Stage:
Pre-implementation, information gathering.

Statistics Education

A team of instructors for a large coordinated introductory statistics college course plan to use a GPT-based chatbot tutor to help students more easily access tutoring help.

Project Stage:
Mid-implementation, testing.

Data Deployment

A company uses a facial recognition AI tool on publicly available data scraped from social media sites and makes their product available to law enforcement.

Project Stage:
Post-implementation.

Custom Scenario

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Select Your Values

Consider which values are of concern to you in your scenario. Identify 3 values that are of most concern.

0/3 values selected
Your Values - Select Exactly 3

Privacy and Consent

  • User choice
  • Data protections

Fiscal Responsibility

  • Budget considerations
  • Personnel impacts
  • Efficiency

Transparency

  • Making sources visible
  • Clarity with users about AI implementation
  • Accountability

Education

  • Understanding the operations of AI systems
  • AI impacts on student research
  • Student learning experiences, plagiarism

Care

  • Empathy
  • Community
  • Thoughtfulness
  • Minimize harm

Human-centeredness

  • Labor considerations
  • Including people in AI — i.e., human-in-the-loop

Usefulness

  • Usefulness of AI to human endeavour

Integrity

  • Honesty
  • Moral soundness

Social Responsibility

  • Environmental sustainability
  • Diversity
  • Equity
  • Justice

Accuracy

  • Validity of AI output
  • Reproducibility and reliability
  • Truthful

Custom Value 1

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Press Enter or Space to edit the custom value description
Add Custom Value

Select Stakeholder

Choose one stakeholder representing a different perspective from your own.

Available Stakeholders - Select One

Academic
Faculty

Teaching and research staff using statistics and data science for academic work.

Student

Undergraduate and graduate students using and learning statistics and data science for research and coursework.

Statistical
Consultant

Professionals who provide statistical expertise and services to clients.

University
Administrator

Institutional administrators responsible for institutional strategic decisions, budget, and policy.

Tech Company
CEO

Chief executive officers of tech organizations leading the charge in AI adoption and integration.

Researcher

Academic researchers and scholars who use statistics and data science in their work.

Data
Consumer

Individuals who use data to inform decision-making in their daily lives.

Content
Creator

Individuals whose content becomes AI data sources, e.g., artists, musicians, and writers.

Community
Member

Individuals who engage with data and contribute to the community.

Software
Developer

Developers who create and maintain statistical and data science technology solutions.

Government Official

Public officials who use data to make decisions affecting policies and funding.

Other

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Select Stakeholder Values

Consider which values are of concern to that stakeholder. Identify 3 values that are of most concern.

0/3 values selected
Stakeholder Values - Select Exactly 3

Fiscal Responsibility

  • Budget considerations
  • Personnel impacts
  • Efficiency

Transparency

  • Making sources visible
  • Clarity with users about AI implementation
  • Accountability

Education

  • Understanding the operations of AI systems
  • AI impacts on student research
  • Student learning experiences, plagiarism

Care

  • Empathy
  • Community
  • Thoughtfulness
  • Minimize harm

Human-centeredness

  • Labor considerations
  • Including people in AI — i.e., human-in-the-loop

Usefulness

  • Usefulness of AI to the human endeavour

Integrity

  • Honesty
  • Moral soundness

Social Responsibility

  • Environmental sustainability
  • Diversity
  • Equity
  • Justice

Accuracy

  • Validity of AI output
  • Reproducibility and reliability
  • Truthful

Custom Value 1

0/200
Press Enter or Space to edit the stakeholder value description
Add Custom Value

Compare & Reflect

Review your selections and answer the reflection questions.

Reflection Questions

Selected Scenario

Your Values

Stakeholder's Values

Review the values you selected for yourself and your stakeholder(s).
Note where the values agree or disagree across the different stakeholders and which values were left out.
What actions can you take to uphold these values?

What biases and assumptions came forward when you adopted a different stakeholder perspective?
How did you decide which values to select for that stakeholder?
What other stakeholder viewpoints need to be considered in your scenario?

What are the longer-term effects or potential harms of this AI project?
Who is accountable for potential harms (e.g., the data scientist, data users, or other third-parties)?
What could happen if the AI is implemented beyond its intended scope or purpose?