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AI and ML - Coggle Diagram

- - - - Scenario 1: AI in Hospital Patient Data Analysis
        
        Ethical Consideration: Patient data privacy, algorithm bias
        
        Option 1: Use AI without safeguards
        
        Option 2: Anonymization, bias detection
        
        The Choice is Option 2, Reason: Respect for Persons, Justice
        
        Ethical Theories: Respect for Persons, Justice
      - Scenario 2: AI in Social Media Ads
        
        Ethical Consideration: Data use beyond expectations, lack of transparency
        
        Option 1: Use data without consent
        
        Option 2: Obtain consent, clear information
        
        Choice: Option 2 (Reason: User autonomy, privacy)
        
        Ethical Theories: Deontology, Utilitarianism
  - - - Scenario 2: AI in Criminal Justice
        
        Ethical Consideration: Disproportionate impact on certain groups, perpetuation of societal biases
        
        Option 1: Rely solely on AI predictions for sentencing
        
        Option 2: Use AI as a tool to inform decisions with human oversight and bias mitigation strategies
        
        The Choice is Option 2, Reason: Mitigates harm, promotes fairness
        
        Ethical Theories: Justice, Non-maleficence
      - Scenario 1: AI Hiring Tool
        
        Ethical Consideration: Bias in hiring, lack of transparency
        
        Option 1: Use AI without auditing
        
        Option 2: Audit for bias, human oversight
        
        The Choice is Option 2, Reason: Fairness, accountability
        
        Ethical Theories: Justice, Transparency
- - - - Scenario 2: AI for Security Alert Prioritization
        
        Ethical Consideration: Potential to overlook critical alerts, impact of AI errors on security
        
        Option 1: Allow AI to automatically filter and respond to alerts
        
        Option 2: Use AI to prioritize and categorize alerts for human review
        
        The Choice is Option 2, Reason: Maintains human control, reduces risk of errors
        
        Ethical Theories: Responsibility, Non-maleficence
      - Scenario 1: AI in Vulnerability Scanning
        
        Ethical Consideration: Over-reliance on AI, responsibility for failures
        
        Option 1: Fully automate scanning
        
        Option 2: AI assists humans
        
        The Choice is Option 2, Reason: Accountability
        
        Ethical Theories: Responsibility, Caution
  - - - Scenario 2: AI for Vulnerability Scanning
        
        Ethical Consideration: Over-reliance on AI, responsibility for failures
        
        Option 1: Fully automate scanning
        
        Option 2: AI assists humans
        
        The Choice is Option 2, Reason: Accountability
        
        Ethical Theories: Responsibility, Caution
      - Scenario 1: AI in Bank Fraud Detection
        
        Ethical Consideration: False positives, bias in algorithms
        
        Option 1: AI without oversight
        
        Option 2: AI with human review, bias checks
        
        The Choice is Option 2, Reason: Efficiency, fairness
        
        Ethical Theories: Non-maleficence, Justice
- - - - Scenario 1: Prompt Injection
        
        Ethical Consideration: Misinformation, developer responsibility
        
        Option 1: Release AI without security
        
        Option 2: Robust input validation
        
        The Choice is Option 2, Reason: User safety
        
        Ethical Theories: Non-maleficence, Responsibility
      - Scenario 2: Data Poisoning in Self-Driving Cars
        
        Ethical Consideration: Physical harm, safety of AI
        
        Option 1: Deploy without testing
        
        Option 2: Validate data, security measures
        
        The Choice is Option 2, Reason: Safety
        
        Ethical Theories: Utilitarianism, Duty of Care
  - - - Scenario 1: Vulnerabilities in AI Model Serialization
        
        Ethical Consideration: Risk of malicious code execution, integrity of AI models
        
        Option 1: Use default serialization methods without added security
        
        Option 2: Implement rigorous checks and security measures for model serialization/deserialization
        
        The Choice is Option 2, Reason: Prevents code injection, protects model integrity
        
        Ethical Theories: Integrity, Non-maleficence
      - Scenario 2: Supply Chain Vulnerabilities in AI Components
        
        Ethical Consideration: Risks from compromised third-party components, lack of transparency in AI development
        
        Option 1: Integrate AI components without thorough vetting
        
        Option 2: Implement Software Bill of Materials (SBOM) and rigorous vetting of AI supply chain
        
        The Choice is Option 2, Reason: Enhances security, promotes transparency
        
        Ethical Theories: Responsibility, Transparency
- - - - Scenario 1: Autonomous Vehicle Accident
        
        Ethical Consideration: Determining liability in accidents involving self-driving cars
        
        Option 1: Hold the owner of the vehicle solely responsible
        
        Option 2: Establish a framework for shared responsibility between the manufacturer, software developer, and owner
        
        The Choice is Option 2, Reason: Distributes responsibility fairly
        
        Ethical Theories: Responsibility, Justice
      - Scenario 2: AI in Medical Diagnosis Error
        
        Ethical Consideration: Accountability for misdiagnosis by AI systems
        
        Option 1: Hold doctors fully liable for AI-assisted misdiagnoses
        
        Option 2: Develop guidelines for shared liability between healthcare providers and AI developers
        
        The Choice is Option 2, Reason: Encourages responsible development and use
        
        Ethical Theories: Responsibility, Duty of Care
  - - - AI for News Generation
        
        Ethical Consideration: Misinformation, impact on autonomy
        
        Option 1: AI without safeguards
        
        Option 2: Safeguards for accuracy, labeling
        
        The Choice is Option 2, Reason: Information integrity
        
        Ethical Theories: Veracity, Responsibility
      - AI Hiring Tool
        
        Ethical Consideration: Bias in hiring, lack of transparency
        
        Option 1: Use AI without auditing
        
        Option 2: Audit for bias, human oversight
        
        The Choice is Option 2, Reason: Fairness, accountability
        
        Ethical Theories: Justice, Transparency