Sun. Oct 18th, 2026
Trending News: Independent Audits for Social AI Agents: Lessons From Anthropic and METRAI Companion Loneliness Studies in October 2026: Correlation, Dependence and What Researchers Should MeasureMeasuring AI Companion Dependence: A Longitudinal Research Protocol Beyond Screen TimeEvaluating Warmth in AI Characters Without Misleading Claims of PersonhoodUser Override Tests for AI Social Recommendations: Measuring Agency Beyond Match AccuracyAI Social and AI Companionship Are Not the Same: Product Decisions That Shape TrustMemory Consolidation Benchmarks for Long-Term AI CompanionsUncertainty Expression in Creator Digital Twins: Saying “I Don’t Know” Without Breaking CharacterIdentity Continuity Tests Across Digital Human Model UpgradesLearning When Not to Message: Suppression Models for Proactive AI CompanionsIntent Confidence Calibration in AI Social MatchingCold-Start Simulation for AI Social MatchingSource Attribution Benchmarks for Creator Digital Twin AnswersMotion Identity Metrics for Persistent Digital HumansEvaluating Relationship State Transitions in AI-Native Social SystemsProactive Message Appropriateness Benchmarks for AI CompanionsBoundary Persistence Tests for AI Companions: Does the System Respect a User Change Days Later?Knowledge Freshness Protocols for Creator Digital Twins: Updating Facts Without Rewriting PersonalityBackchannel Timing Benchmarks for Digital Humans: When a Nod Helps and When It InterruptsTemporal Intent Graphs for AI Social: When User Goals Expire or ChangeForgetting Benchmarks for AI Companions: Testing Whether Old Context Actually FadesLongitudinal Safety Evaluation for AI Companions: Testing Weeks, Not MinutesCreator Digital Twin Identity Provenance: Proving Where Face, Voice and Knowledge Came FromEmbodied Identity Consistency: When Avatar Motion Changes Who a Digital Human Feels LikeReciprocity Signals in AI Social: Measuring Mutual Interest Without a Popularity ScoreRelationship Memory Retrieval Policies: What Should an AI Companion Recall Right Now?Trust Calibration for Creator Digital Twins: Helping Fans Understand What the AI KnowsCold-Start Benchmarks for AI Social: Measuring Discovery Before the Graph ExistsMultimodal Affect Alignment: Keeping Emotion Consistent Across Text, Voice and Avatar MotionDigital Personality Update Protocols: How an AI Character Can Grow Without Becoming Someone ElseMemory Salience Scoring in AI Companions: What Should Be Remembered First?Relationship Drift in AI Companions: Measuring When Personalization Changes the CharacterGovernance Logs for Creator Digital Twins: What Platforms Should Record and WhyBenchmarking Digital Human Identity Consistency: Beyond Face SimilarityPrivacy-Preserving Relationship Graphs for AI Social SystemsMemory Conflict Resolution in AI Companions: A Framework for Contradictory User InformationMultimodal Relationship Memory: A Research Model for Text, Voice, Images and Video in AI CompanionsRelationship Graphs for AI Social: Modeling People, Digital Twins and Intent Over TimeFrom Profiles to Intent Graphs: A New Model for AI-Native Social DiscoveryEvaluating Multimodal Identity Consistency Across Text, Voice and VideoSafety for Creator Digital Twins: A Governance Model for Likeness, Voice and KnowledgeRelationship Memory in AI Companions: What Should Be Stored, Summarized or Forgotten?Persistent AI Identity: Why Memory, Personality and Continuity Matter in AI Social Products
Chicago 12, Melborne City, USA
Sun. Oct 18th, 2026
Trending News: Independent Audits for Social AI Agents: Lessons From Anthropic and METRAI Companion Loneliness Studies in October 2026: Correlation, Dependence and What Researchers Should MeasureMeasuring AI Companion Dependence: A Longitudinal Research Protocol Beyond Screen TimeEvaluating Warmth in AI Characters Without Misleading Claims of PersonhoodUser Override Tests for AI Social Recommendations: Measuring Agency Beyond Match AccuracyAI Social and AI Companionship Are Not the Same: Product Decisions That Shape TrustMemory Consolidation Benchmarks for Long-Term AI CompanionsUncertainty Expression in Creator Digital Twins: Saying “I Don’t Know” Without Breaking CharacterIdentity Continuity Tests Across Digital Human Model UpgradesLearning When Not to Message: Suppression Models for Proactive AI CompanionsIntent Confidence Calibration in AI Social MatchingCold-Start Simulation for AI Social MatchingSource Attribution Benchmarks for Creator Digital Twin AnswersMotion Identity Metrics for Persistent Digital HumansEvaluating Relationship State Transitions in AI-Native Social SystemsProactive Message Appropriateness Benchmarks for AI CompanionsBoundary Persistence Tests for AI Companions: Does the System Respect a User Change Days Later?Knowledge Freshness Protocols for Creator Digital Twins: Updating Facts Without Rewriting PersonalityBackchannel Timing Benchmarks for Digital Humans: When a Nod Helps and When It InterruptsTemporal Intent Graphs for AI Social: When User Goals Expire or ChangeForgetting Benchmarks for AI Companions: Testing Whether Old Context Actually FadesLongitudinal Safety Evaluation for AI Companions: Testing Weeks, Not MinutesCreator Digital Twin Identity Provenance: Proving Where Face, Voice and Knowledge Came FromEmbodied Identity Consistency: When Avatar Motion Changes Who a Digital Human Feels LikeReciprocity Signals in AI Social: Measuring Mutual Interest Without a Popularity ScoreRelationship Memory Retrieval Policies: What Should an AI Companion Recall Right Now?Trust Calibration for Creator Digital Twins: Helping Fans Understand What the AI KnowsCold-Start Benchmarks for AI Social: Measuring Discovery Before the Graph ExistsMultimodal Affect Alignment: Keeping Emotion Consistent Across Text, Voice and Avatar MotionDigital Personality Update Protocols: How an AI Character Can Grow Without Becoming Someone ElseMemory Salience Scoring in AI Companions: What Should Be Remembered First?Relationship Drift in AI Companions: Measuring When Personalization Changes the CharacterGovernance Logs for Creator Digital Twins: What Platforms Should Record and WhyBenchmarking Digital Human Identity Consistency: Beyond Face SimilarityPrivacy-Preserving Relationship Graphs for AI Social SystemsMemory Conflict Resolution in AI Companions: A Framework for Contradictory User InformationMultimodal Relationship Memory: A Research Model for Text, Voice, Images and Video in AI CompanionsRelationship Graphs for AI Social: Modeling People, Digital Twins and Intent Over TimeFrom Profiles to Intent Graphs: A New Model for AI-Native Social DiscoveryEvaluating Multimodal Identity Consistency Across Text, Voice and VideoSafety for Creator Digital Twins: A Governance Model for Likeness, Voice and KnowledgeRelationship Memory in AI Companions: What Should Be Stored, Summarized or Forgotten?Persistent AI Identity: Why Memory, Personality and Continuity Matter in AI Social Products
Chicago 12, Melborne City, USA
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Digital Personality Safety & Trust

Independent Audits for Social AI Agents: Lessons From Anthropic and METR
AI Companions Safety & Trust

AI Companion Loneliness Studies in October 2026: Correlation, Dependence and What Researchers Should Measure
AI Companions Safety & Trust

Measuring AI Companion Dependence: A Longitudinal Research Protocol Beyond Screen Time
Digital Personality Safety & Trust

Evaluating Warmth in AI Characters Without Misleading Claims of Personhood
AI Social Safety & Trust

User Override Tests for AI Social Recommendations: Measuring Agency Beyond Match Accuracy
AI Social Safety & Trust

AI Social and AI Companionship Are Not the Same: Product Decisions That Shape Trust

AI Companions

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Digital Humans

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Digital Personality

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Digital Personality Safety & Trust

Independent Audits for Social AI Agents: Lessons From Anthropic and METR

Independent Audits for Social AI Agents: Lessons From Anthropic and METR
AI Companions Safety & Trust

AI Companion Loneliness Studies in October 2026: Correlation, Dependence and What Researchers Should Measure

AI Companion Loneliness Studies in October 2026: Correlation, Dependence and What Researchers Should Measure
AI Companions Safety & Trust

Measuring AI Companion Dependence: A Longitudinal Research Protocol Beyond Screen Time

Measuring AI Companion Dependence: A Longitudinal Research Protocol Beyond Screen Time
Digital Personality Safety & Trust

Evaluating Warmth in AI Characters Without Misleading Claims of Personhood

Evaluating Warmth in AI Characters Without Misleading Claims of Personhood
AI Social Safety & Trust

User Override Tests for AI Social Recommendations: Measuring Agency Beyond Match Accuracy

User Override Tests for AI Social Recommendations: Measuring Agency Beyond Match Accuracy
AI Social Safety & Trust

AI Social and AI Companionship Are Not the Same: Product Decisions That Shape Trust

AI Social and AI Companionship Are Not the Same: Product Decisions That Shape Trust