Virtual Parliament Tool for Moral Decision Making Under Uncertainty

Virtual Parliament Tool for Moral Decision Making Under Uncertainty

Summary: A structured method to address moral uncertainty by simulating a "virtual parliament" where competing ethical theories are weighted by the user's confidence in them, offering aggregated decision guidance while avoiding oversimplification or bias inherent in single-theory approaches. Clear outcomes for policy-makers, ethicists, and individuals facing dilemmas.

Moral uncertainty—the challenge of making decisions when confidence in any single moral theory is lacking—creates dilemmas in ethics, policy-making, and personal choices. Existing approaches often rely on intuition or favor one theory without justification, leaving a gap for structured methods to weigh competing perspectives fairly.

A Virtual Parliament for Moral Decision-Making

One way to address this could be a tool that simulates decision-making under moral uncertainty by treating competing theories as "parties" in a virtual parliament. The size of each party would reflect the user’s confidence in that theory, and the tool would aggregate these perspectives to suggest decisions. For example:

  • If someone is 60% confident in utilitarianism and 40% in deontology, the "parliament" would reflect this ratio when evaluating options.
  • Alternative methods, like random selection among permissible choices or deferring to experts, could also be tested alongside the parliamentary model.

Initial testing might use clear-cut scenarios (e.g., trolley problems) to compare outcomes, with later expansion to real-world cases like healthcare rationing. Users could adjust weightings or exclude theories they find irrelevant, and qualitative explanations would accompany results to avoid oversimplification.

Stakeholders and Practical Applications

This tool could serve ethicists exploring theoretical debates, policy-makers balancing conflicting values, or individuals navigating personal dilemmas (e.g., altruism vs. family obligations). Incentives align well: researchers might collaborate to refine effective altruism tools, while institutions could adopt it to legitimize contested decisions. A freemium model or grants could support development, with basic features free and advanced customization as paid options.

Standing Out from Existing Approaches

Unlike crowdsourced tools like MIT’s Moral Machine (which documents public opinion) or risk-focused frameworks like EthicalOS, this project would offer prescriptive guidance for uncertain scenarios. It generalizes beyond niche applications (e.g., philanthropy prioritization) by integrating multiple theories into a single decision-making process. Early testing with ethicists could validate whether the "parliament" metaphor meaningfully represents moral uncertainty.

By bridging abstract philosophy and practical choices, this approach could provide a clearer alternative to biased or ad hoc reasoning—especially in high-stakes decisions where fairness matters.

Source of Idea:
This idea was taken from https://forum.effectivealtruism.org/posts/P2feavRst6g6ycp6g/resource-allocation-a-research-agenda and further developed using an algorithm.
Skills Needed to Execute This Idea:
Ethical ReasoningDecision-Making FrameworksAlgorithm DesignPhilosophyUser Interface DesignData VisualizationPolicy AnalysisBehavioral PsychologySoftware DevelopmentQuantitative AnalysisStakeholder EngagementDialogue SystemsMoral Philosophy
Resources Needed to Execute This Idea:
Custom Software DevelopmentEthical Decision-Making Data SetsAcademic Research Partnerships
Categories:Ethics And PhilosophyDecision-Making ToolsArtificial IntelligencePolicy AnalysisBehavioral ScienceMoral Psychology

Hours To Execute (basic)

300 hours to execute minimal version ()

Hours to Execute (full)

500 hours to execute full idea ()

Estd No of Collaborators

1-10 Collaborators ()

Financial Potential

$1M–10M Potential ()

Impact Breadth

Affects 100K-10M people ()

Impact Depth

Substantial Impact ()

Impact Positivity

Probably Helpful ()

Impact Duration

Impacts Lasts 3-10 Years ()

Uniqueness

Highly Unique ()

Implementability

Moderately Difficult to Implement ()

Plausibility

Logically Sound ()

Replicability

Moderately Difficult to Replicate ()

Market Timing

Good Timing ()

Project Type

Digital Product

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