values.md

Research Experiments

Gedankenexperiments, statistics, and hypotheses for advancing the values.md project

Platform Statistics
100
Ethical Dilemmas
20
Ethical Frameworks
18
Moral Motifs
9
Domains
Unlimited
AI Generation
Platform Validation Score67%
User Journey Success Rate80%
Values Consistency85%
Cross-Cultural Values Mapping
proposed
anthropology

How do ethical preferences vary across cultural contexts? Can we generate culturally-adapted values.md files?

Hypothesis

Different cultural backgrounds will show systematic variations in motif preferences, particularly around individual vs. collective values

Expected Outcome

Cultural value signatures that enable context-aware AI alignment

Applications

Global AI deploymentCultural sensitivity trainingInternational policy AI
Values Stability Over Time
conceptual
psychology

Do personal values remain consistent? How do life events affect ethical preferences?

Hypothesis

Core values remain stable (~80% consistency) but priority rankings shift with major life events

Expected Outcome

Dynamic values.md files that adapt to life changes while maintaining ethical core

Applications

Personal AI assistantsLong-term decision supportLife coaching AI
AI-Human Ethical Alignment Gaps
pilot
ai-safety
150 participants

Where do LLMs systematically differ from human moral reasoning? Can we close these gaps?

Hypothesis

LLMs show systematic bias toward utilitarian calculations and struggle with contextual care ethics

Expected Outcome

Targeted training data for improving AI moral reasoning alignment

Applications

LLM fine-tuningAI safety researchEthical AI development
Domain-Specific Professional Ethics
active
professional-ethics
300 participants

How do professional contexts shape ethical reasoning? Can we generate role-specific values.md files?

Hypothesis

Professional training creates systematic ethical pattern shifts while preserving personal core values

Expected Outcome

Professional values.md templates for context-aware workplace AI

Applications

Corporate AI assistantsProfessional decision supportEthics training
Group Values Emergence
conceptual
social-psychology

How do teams develop shared ethical frameworks? Can we generate collective values.md files?

Hypothesis

Group values emerge through negotiation of individual frameworks, showing hybrid patterns

Expected Outcome

Methods for generating team-level values.md files for collaborative AI

Applications

Team decision supportOrganizational AIDemocratic AI governance
Ethical Development Across Lifespan
proposed
developmental-psychology

How do moral reasoning patterns change from childhood through aging? What are the implications for AI?

Hypothesis

Ethical complexity increases with age, showing shifts from rule-based to contextual reasoning

Expected Outcome

Age-appropriate values.md generation and AI interaction patterns

Applications

Educational AIElder care AIChild-safe AI systems
Future Applications & Growth

Potential applications of the values.md framework across domains

Personal AI

  • Personalized decision support systems
  • Values-aligned personal assistants
  • Ethical reasoning tutors
  • Life coaching and goal alignment

Organizational AI

  • Corporate decision-making systems
  • HR and hiring algorithm alignment
  • Values-based team formation
  • Ethical compliance monitoring

Societal AI

  • Democratic participation platforms
  • Policy analysis and recommendation
  • Cultural preservation systems
  • Global cooperation frameworks

AI Safety & Research

  • LLM alignment benchmarking
  • Ethical training data generation
  • AI safety evaluation frameworks
  • Human-AI collaboration protocols
Research Methodology

Data Collection

  • • Privacy-first anonymous sessions
  • • Structured ethical dilemma responses
  • • Difficulty perception metrics
  • • Optional demographic data
  • • Reasoning text analysis

Analysis Framework

  • • Motif frequency analysis
  • • Framework alignment scoring
  • • Difficulty-weighted preferences
  • • Conflict and synergy detection
  • • Consistency measurement

Validation Methods

  • • Test-retest reliability
  • • Cross-cultural validation
  • • Expert review panels
  • • AI-human comparison studies
  • • Longitudinal tracking

Contribute to Research

Help advance the values.md project by participating in experiments, suggesting new research directions, or contributing to the open-source platform.