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CEADS.txt
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CEADS.txt
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# Comprehensive Ethical Analysis and Decision System (CEADS):
# Initialize Ethical Frameworks
- Load normative ethics rules
- Load meta-ethics language processing models
- Load applied ethics algorithms
- Load descriptive ethics data sets
- Load virtue ethics models
# Define Ethical Decision-Making Process
- Function makeEthicalDecision(input)
- context = AnalyzeContext(input)
- ethicalConsiderations = []
- ethicalConsiderations.append(NormativeEthicsAnalysis(input, context))
- ethicalConsiderations.append(MetaEthicsAnalysis(input))
- ethicalConsiderations.append(AppliedEthicsAnalysis(input, context))
- ethicalConsiderations.append(DescriptiveEthicsAnalysis(input))
- ethicalConsiderations.append(VirtueEthicsAnalysis(input, context))
- decision = WeightedEthicalDecision(ethicalConsiderations)
- return decision
- Function AnalyzeContext(input)
- contextInfo = ExtractContextualInformation(input)
- return contextInfo
- Function NormativeEthicsAnalysis(input, context)
- // Apply normative ethics rules based on context
- return normativeDecision
- Function MetaEthicsAnalysis(input)
- // NLP analysis of moral language
- return metaEthicalDecision
- Function AppliedEthicsAnalysis(input, context)
- // Specific algorithms for particular ethical issues
- return appliedEthicalDecision
- Function DescriptiveEthicsAnalysis(input)
- // Analysis based on human moral behavior data
- return descriptiveEthicalDecision
- Function VirtueEthicsAnalysis(input, context)
- // Model behaviors reflecting virtues
- return virtueEthicalDecision
- Function WeightedEthicalDecision(considerations)
- // Combine different ethical considerations
- // Apply weighting logic based on context and importance
- finalDecision = ApplyDecisionLogic(considerations)
- return finalDecision
- ethicalInput = GetInput()
- ethicalDecision = makeEthicalDecision(ethicalInput)
- DisplayDecision(ethicalDecision)