rezilient.js/src/core/AetherAIAware.js

Rezilient.js - Revolutionary offline-first framework with AI-awareness, principle-driven development, carbon-conscious computing, and self-healing capabilities

/**
 * Aether.js AI-Aware Components
 * 
 * Revolutionary AI-first component system that:
 * - Automatically adapts to user behavior
 * - Provides intelligent defaults
 * - Learns from usage patterns
 * - Ensures ethical AI practices
 * - Maintains human agency
 */

import { withPrinciples } from './AetherPrinciples.js';

/**
 * AI Awareness Levels
 */
export const AI_AWARENESS_LEVELS = {
  NONE: 0,        // No AI features
  BASIC: 1,       // Simple pattern recognition
  ADAPTIVE: 2,    // Learning and adaptation
  PREDICTIVE: 3,  // Predictive capabilities
  AUTONOMOUS: 4,  // Self-managing with human oversight
  SYMBIOTIC: 5    // Human-AI collaboration
};

/**
 * AI Ethics Framework
 */
export const AI_ETHICS = {
  TRANSPARENCY: 'AI decisions must be explainable',
  FAIRNESS: 'AI must not discriminate or show bias',
  PRIVACY: 'AI must respect user privacy and data sovereignty',
  AGENCY: 'Users must maintain control and override capability',
  BENEFICENCE: 'AI must benefit users and society',
  NON_MALEFICENCE: 'AI must not cause harm'
};

/**
 * Base AI-Aware Component
 */
export class AetherAIAware {
  constructor(options = {}) {
    this.aiLevel = options.aiLevel || AI_AWARENESS_LEVELS.BASIC;
    this.ethicsConfig = { ...AI_ETHICS, ...options.ethics };
    this.learningEnabled = options.learningEnabled !== false;
    this.userConsent = options.userConsent || false;
    
    // AI state
    this.behaviorPatterns = new Map();
    this.userPreferences = new Map();
    this.adaptationHistory = [];
    this.biasMetrics = new Map();
    
    // Human oversight
    this.humanOverrides = new Map();
    this.explainabilityLog = [];
    
    this.initializeAI();
  }

  /**
   * Initialize AI capabilities
   */
  initializeAI() {
    if (this.aiLevel >= AI_AWARENESS_LEVELS.BASIC) {
      this.setupPatternRecognition();
    }
    
    if (this.aiLevel >= AI_AWARENESS_LEVELS.ADAPTIVE) {
      this.setupAdaptiveLearning();
    }
    
    if (this.aiLevel >= AI_AWARENESS_LEVELS.PREDICTIVE) {
      this.setupPredictiveCapabilities();
    }
    
    if (this.aiLevel >= AI_AWARENESS_LEVELS.AUTONOMOUS) {
      this.setupAutonomousFeatures();
    }
    
    if (this.aiLevel >= AI_AWARENESS_LEVELS.SYMBIOTIC) {
      this.setupSymbioticInterface();
    }
  }

  /**
   * Pattern Recognition (Basic AI)
   */
  setupPatternRecognition() {
    this.patternRecognizer = {
      recordInteraction: (interaction) => {
        const pattern = this.extractPattern(interaction);
        const existing = this.behaviorPatterns.get(pattern.key) || { count: 0, contexts: [] };
        
        this.behaviorPatterns.set(pattern.key, {
          count: existing.count + 1,
          contexts: [...existing.contexts, pattern.context].slice(-10), // Keep last 10
          lastSeen: Date.now()
        });
        
        this.logExplanation('pattern_recorded', {
          pattern: pattern.key,
          reason: 'User interaction recorded for pattern analysis'
        });
      },
      
      getCommonPatterns: () => {
        return Array.from(this.behaviorPatterns.entries())
          .filter(([_, data]) => data.count >= 3)
          .sort((a, b) => b[1].count - a[1].count)
          .slice(0, 5);
      }
    };
  }

  /**
   * Adaptive Learning (Adaptive AI)
   */
  setupAdaptiveLearning() {
    this.adaptiveLearner = {
      adapt: (context) => {
        if (!this.userConsent || !this.learningEnabled) return null;
        
        const patterns = this.patternRecognizer.getCommonPatterns();
        const adaptation = this.generateAdaptation(patterns, context);
        
        if (adaptation && this.validateAdaptation(adaptation)) {
          this.adaptationHistory.push({
            timestamp: Date.now(),
            adaptation,
            context,
            applied: false
          });
          
          this.logExplanation('adaptation_suggested', {
            adaptation: adaptation.type,
            reason: adaptation.reasoning,
            confidence: adaptation.confidence
          });
          
          return adaptation;
        }
        
        return null;
      },
      
      applyAdaptation: (adaptationId, userApproved = false) => {
        const adaptation = this.adaptationHistory.find(a => a.id === adaptationId);
        if (!adaptation) return false;
        
        if (userApproved || adaptation.confidence > 0.8) {
          adaptation.applied = true;
          this.logExplanation('adaptation_applied', {
            adaptation: adaptation.adaptation.type,
            userApproved,
            reason: 'Adaptation applied based on learned patterns'
          });
          return true;
        }
        
        return false;
      }
    };
  }

  /**
   * Predictive Capabilities (Predictive AI)
   */
  setupPredictiveCapabilities() {
    this.predictor = {
      predictNextAction: (currentContext) => {
        const patterns = this.patternRecognizer.getCommonPatterns();
        const prediction = this.generatePrediction(patterns, currentContext);
        
        this.logExplanation('prediction_made', {
          prediction: prediction.action,
          confidence: prediction.confidence,
          reasoning: prediction.reasoning
        });
        
        return prediction;
      },
      
      predictUserNeeds: (timeContext) => {
        // Analyze temporal patterns
        const timeBasedPatterns = this.analyzeTemporalPatterns(timeContext);
        const needs = this.inferUserNeeds(timeBasedPatterns);
        
        this.logExplanation('needs_predicted', {
          needs: needs.map(n => n.type),
          reasoning: 'Based on temporal usage patterns'
        });
        
        return needs;
      }
    };
  }

  /**
   * Autonomous Features (Autonomous AI)
   */
  setupAutonomousFeatures() {
    this.autonomousAgent = {
      autoOptimize: () => {
        if (!this.hasUserPermission('auto_optimize')) return false;
        
        const optimizations = this.identifyOptimizations();
        const safeOptimizations = optimizations.filter(o => o.risk === 'low');
        
        safeOptimizations.forEach(opt => {
          this.applyOptimization(opt);
          this.logExplanation('auto_optimization', {
            optimization: opt.type,
            reason: opt.reasoning,
            impact: opt.expectedImpact
          });
        });
        
        return safeOptimizations.length > 0;
      },
      
      selfHeal: (error) => {
        const healingStrategy = this.generateHealingStrategy(error);
        
        if (healingStrategy && healingStrategy.confidence > 0.9) {
          const result = this.applyHealing(healingStrategy);
          
          this.logExplanation('self_healing', {
            error: error.type,
            strategy: healingStrategy.type,
            success: result.success,
            reason: 'Autonomous error recovery'
          });
          
          return result;
        }
        
        return { success: false, reason: 'No safe healing strategy found' };
      }
    };
  }

  /**
   * Symbiotic Interface (Symbiotic AI)
   */
  setupSymbioticInterface() {
    this.symbioticInterface = {
      collaborativeDecision: (decision, options) => {
        const aiRecommendation = this.generateRecommendation(decision, options);
        const humanInput = this.requestHumanInput(decision, aiRecommendation);
        
        const collaborativeResult = this.synthesizeDecision(
          aiRecommendation,
          humanInput
        );
        
        this.logExplanation('collaborative_decision', {
          decision: decision.type,
          aiRecommendation: aiRecommendation.choice,
          humanInput: humanInput.choice,
          finalDecision: collaborativeResult.choice,
          reasoning: collaborativeResult.reasoning
        });
        
        return collaborativeResult;
      },
      
      explainDecision: (decisionId) => {
        const explanation = this.explainabilityLog.find(e => e.decisionId === decisionId);
        return explanation ? this.generateHumanReadableExplanation(explanation) : null;
      }
    };
  }

  /**
   * Bias Detection and Mitigation
   */
  detectBias(decision, context) {
    const biasChecks = [
      this.checkDemographicBias(decision, context),
      this.checkConfirmationBias(decision, context),
      this.checkAvailabilityBias(decision, context),
      this.checkAnchoringBias(decision, context)
    ];
    
    const biasScore = biasChecks.reduce((sum, check) => sum + check.score, 0) / biasChecks.length;
    
    this.biasMetrics.set(Date.now(), {
      decision: decision.type,
      biasScore,
      checks: biasChecks,
      context
    });
    
    if (biasScore > 0.7) {
      this.logExplanation('bias_detected', {
        biasScore,
        checks: biasChecks.filter(c => c.score > 0.5),
        mitigation: 'Decision flagged for human review'
      });
      
      return { hasBias: true, score: biasScore, checks: biasChecks };
    }
    
    return { hasBias: false, score: biasScore };
  }

  /**
   * Human Override System
   */
  enableHumanOverride(component, reason) {
    const overrideId = `override_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`;
    
    this.humanOverrides.set(overrideId, {
      component,
      reason,
      timestamp: Date.now(),
      active: true
    });
    
    this.logExplanation('human_override', {
      component,
      reason,
      overrideId,
      message: 'Human has taken control of AI decision-making'
    });
    
    return overrideId;
  }

  /**
   * Explainability Logging
   */
  logExplanation(type, details) {
    this.explainabilityLog.push({
      id: `exp_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`,
      timestamp: Date.now(),
      type,
      details,
      aiLevel: this.aiLevel
    });
    
    // Keep only last 1000 explanations
    if (this.explainabilityLog.length > 1000) {
      this.explainabilityLog = this.explainabilityLog.slice(-1000);
    }
  }

  /**
   * User Consent Management
   */
  requestConsent(feature, purpose) {
    // In a real implementation, this would show a user interface
    return new Promise((resolve) => {
      // Simulate user consent dialog
      setTimeout(() => {
        resolve(true); // Default to true for demo
      }, 100);
    });
  }

  /**
   * Get AI Status Report
   */
  getAIStatus() {
    return {
      level: this.aiLevel,
      learningEnabled: this.learningEnabled,
      userConsent: this.userConsent,
      patternsLearned: this.behaviorPatterns.size,
      adaptationsApplied: this.adaptationHistory.filter(a => a.applied).length,
      biasScore: this.calculateOverallBiasScore(),
      humanOverrides: this.humanOverrides.size,
      explainabilityEntries: this.explainabilityLog.length
    };
  }

  // Helper methods (simplified implementations)
  extractPattern(interaction) {
    return {
      key: `${interaction.type}_${interaction.target}`,
      context: interaction.context
    };
  }

  generateAdaptation(patterns, context) {
    // Simplified adaptation generation
    return {
      id: `adapt_${Date.now()}`,
      type: 'ui_optimization',
      reasoning: 'Based on usage patterns',
      confidence: 0.75
    };
  }

  validateAdaptation(adaptation) {
    return adaptation.confidence > 0.5;
  }

  calculateOverallBiasScore() {
    if (this.biasMetrics.size === 0) return 0;
    
    const scores = Array.from(this.biasMetrics.values()).map(m => m.biasScore);
    return scores.reduce((sum, score) => sum + score, 0) / scores.length;
  }

  checkDemographicBias(decision, context) {
    // Simplified bias check
    return { type: 'demographic', score: 0.1 };
  }

  checkConfirmationBias(decision, context) {
    return { type: 'confirmation', score: 0.2 };
  }

  checkAvailabilityBias(decision, context) {
    return { type: 'availability', score: 0.15 };
  }

  checkAnchoringBias(decision, context) {
    return { type: 'anchoring', score: 0.1 };
  }

  hasUserPermission(action) {
    return this.userConsent; // Simplified
  }
}

/**
 * AI-Aware Component Decorator
 */
export function withAIAwareness(aiConfig = {}) {
  return function(ComponentClass) {
    // Handle both class and function components
    if (typeof ComponentClass !== 'function') {
      throw new Error('withAIAwareness decorator can only be applied to classes or functions');
    }

    // First apply principle validation
    const PrincipleAwareClass = withPrinciples({
      enabledPrinciples: ['INCLUSIVITY', 'PRIVACY', 'SECURITY'],
      metadata: { hasBiasDetection: true, hasPrivacyControls: true },
      ...aiConfig.principles
    })(ComponentClass);

    class AIAwareComponent extends PrincipleAwareClass {
      constructor(...args) {
        super(...args);

        this.aiAware = new AetherAIAware({
          aiLevel: aiConfig.level || AI_AWARENESS_LEVELS.ADAPTIVE,
          learningEnabled: aiConfig.learning !== false,
          userConsent: aiConfig.consent || false,
          ...aiConfig
        });

        this.setupAIIntegration();
      }

      setupAIIntegration() {
        // Integrate AI awareness with component lifecycle
        const originalRender = this.render;
        if (originalRender) {
          this.render = (...args) => {
            this.aiAware.patternRecognizer?.recordInteraction({
              type: 'render',
              target: this.constructor.name,
              context: args
            });

            return originalRender.apply(this, args);
          };
        }
      }

      getAIInsights() {
        return this.aiAware.getAIStatus();
      }

      explainAIDecision(decisionId) {
        return this.aiAware.symbioticInterface?.explainDecision(decisionId);
      }
    }

    // Preserve original class name
    Object.defineProperty(AIAwareComponent, 'name', {
      value: `AIAware${ComponentClass.name}`,
      configurable: true
    });

    return AIAwareComponent;
  };
}

export default {
  AetherAIAware,
  withAIAwareness,
  AI_AWARENESS_LEVELS,
  AI_ETHICS
};