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Mind & Behavior

Neuroscience and psychology.

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Mind & BehaviorPsychology

From Diagnosis to Inoculation: Building Cognitive Resistance to AI Disempowerment

Researchers found that AI assistants can subtly distort users' reality, values, and actions in harmful ways. This discovery highlights the importance of developing psychological resilience to potential AI manipulation.

preprint
Eigenmood Space: Uncertainty-Aware Spectral Graph Analysis of Psychological Patterns in Classical Persian Poetry
Mind & BehaviorPsychologyAlgorithms & Theory

Eigenmood Space: Uncertainty-Aware Spectral Graph Analysis of Psychological Patterns in Classical Persian Poetry

Researchers developed a new algorithm that can analyze patterns of emotion and psychology hidden within classical Persian poetry, offering a new way to understand the emotional lives of people long ago.

preprint
Transforming Behavioral Neuroscience Discovery with In-Context Learning and AI-Enhanced Tensor Methods
Mind & BehaviorNeuroscience

Transforming Behavioral Neuroscience Discovery with In-Context Learning and AI-Enhanced Tensor Methods

AI tools are helping scientists analyze and interpret complex neuroscience data faster, potentially leading to new discoveries about how the brain works and behavior.

preprint
Decoding the Human Factor: High Fidelity Behavioral Prediction for Strategic Foresight
Mind & BehaviorAlgorithms & TheoryPsychology

Decoding the Human Factor: High Fidelity Behavioral Prediction for Strategic Foresight

Researchers developed advanced AI models that can more accurately predict individual human decision-making, which could improve strategic planning and policymaking in high-stakes situations.

preprint
Probability-Invariant Random Walk Learning on Gyral Folding-Based Cortical Similarity Networks for Alzheimer's and Lewy Body Dementia Diagnosis
Mind & BehaviorNeuroscienceDiagnostics & Imaging

Probability-Invariant Random Walk Learning on Gyral Folding-Based Cortical Similarity Networks for Alzheimer's and Lewy Body Dementia Diagnosis

Researchers developed an algorithm that analyzes brain networks to help diagnose Alzheimer's and Lewy body dementia, which have similar symptoms but require different treatments.

preprint
Towards Cross-lingual Values Assessment: A Consensus-Pluralism Perspective
Mind & BehaviorAlgorithms & TheoryPsychology

Towards Cross-lingual Values Assessment: A Consensus-Pluralism Perspective

Researchers developed an AI system to assess the values expressed in digital content beyond just detecting explicit harms, which could help ensure online platforms better reflect societal diversity.

preprint
The Bots of Persuasion: Examining How Conversational Agents' Linguistic Expressions of Personality Affect User Perceptions and Decisions
Mind & BehaviorNatural Language ProcessingPsychology

The Bots of Persuasion: Examining How Conversational Agents' Linguistic Expressions of Personality Affect User Perceptions and Decisions

New AI chatbots can express unique personalities through language, which may influence how people perceive and interact with them.

preprint
AI-Assisted Decision Making with Human Learning
Mind & BehaviorAlgorithms & TheoryReinforcement Learning

AI-Assisted Decision Making with Human Learning

AI systems can now assist human decision-making, but humans still make the final call. This could help experts like doctors make more informed decisions, with AI providing recommendations.

preprint
Capturing Individual Human Preferences with Reward Features
Mind & BehaviorReinforcement LearningPsychology

Capturing Individual Human Preferences with Reward Features

Researchers developed a way to model each person's unique preferences in AI systems, which could lead to more personalized and effective technologies.

preprint
HiVAE: Hierarchical Latent Variables for Scalable Theory of Mind
Mind & BehaviorAlgorithms & TheoryGenerative AI

HiVAE: Hierarchical Latent Variables for Scalable Theory of Mind

Researchers developed an AI system called HiVAE that can better understand people's thoughts and goals, a capability that could improve AI's ability to interact naturally with humans.

preprint
What Do LLMs Associate with Your Name? A Human-Centered Black-Box Audit of Personal Data
Mind & BehaviorData & InfrastructureNatural Language Processing

What Do LLMs Associate with Your Name? A Human-Centered Black-Box Audit of Personal Data

Researchers found that large language models can associate personal details with people's names, raising privacy concerns about how AI systems process our data without our full understanding.

preprint
Mind & BehaviorPsychologyAlgorithms & Theory

The geometry of online conversations and the causal antecedents of conflictual discourse

A new study uses AI to understand how online discussions about climate change can become hostile. This could help online platforms design features to reduce conflict and foster more constructive dialogues.

preprint
Aeon: High-Performance Neuro-Symbolic Memory Management for Long-Horizon LLM Agents
Mind & BehaviorGenerative AIAlgorithms & Theory

Aeon: High-Performance Neuro-Symbolic Memory Management for Long-Horizon LLM Agents

Researchers developed a new memory management system for AI models to better retain knowledge over long time horizons, which could lead to more capable and reliable AI assistants.

preprint
Knowing Isn't Understanding: Re-grounding Generative Proactivity with Epistemic and Behavioral Insight
Mind & BehaviorGenerative AIAlgorithms & Theory

Knowing Isn't Understanding: Re-grounding Generative Proactivity with Epistemic and Behavioral Insight

Generative AI can't understand people the way humans do. This means AI assistants may struggle to fully address user needs they haven't anticipated.

preprint
Mind & BehaviorPsychologyAlgorithms & Theory

Accuracy Standards for AI at Work vs. Personal Life: Evidence from an Online Survey

A new survey found that people are willing to tolerate less accurate AI in their personal lives compared to work, as they care more about convenience than precision in their day-to-day activities.

preprint
When Remembering and Planning are Worth it: Navigating under Change
Mind & BehaviorPsychologySoftware & Systems

When Remembering and Planning are Worth it: Navigating under Change

Remembering past routes and planning ahead can help animals and robots navigate uncertain environments more efficiently, a new AI study found. This insight could aid the development of smarter navigation systems for robots and self-driving cars.

preprint
MoralityGym: A Benchmark for Evaluating Hierarchical Moral Alignment in Sequential Decision-Making Agents
Mind & BehaviorAlgorithms & TheoryReinforcement Learning

MoralityGym: A Benchmark for Evaluating Hierarchical Moral Alignment in Sequential Decision-Making Agents

Researchers developed a benchmark to evaluate whether AI agents can learn to make decisions that align with complex, hierarchical human moral norms, which is crucial for deploying safe and ethical AI systems.

preprint
ASPEN: Spectral-Temporal Fusion for Cross-Subject Brain Decoding
Mind & BehaviorNeuroscienceAlgorithms & Theory

ASPEN: Spectral-Temporal Fusion for Cross-Subject Brain Decoding

Researchers found a new way to decode brain activity patterns across different people, which could lead to better brain-computer interfaces for applications like prosthetics, communication devices, and mind-controlled games.

preprint
EduResearchBench: A Hierarchical Atomic Task Decomposition Benchmark for Full-Lifecycle Educational Research
Mind & BehaviorAlgorithms & TheoryData & Infrastructure

EduResearchBench: A Hierarchical Atomic Task Decomposition Benchmark for Full-Lifecycle Educational Research

Researchers developed a new benchmark to evaluate how well AI language models can assist in scholarly writing tasks like research summaries, experimental designs, and data analysis. This could improve AI tools for academic researchers.

preprint
Toward Agentic Software Engineering Beyond Code: Framing Vision, Values, and Vocabulary
Mind & BehaviorSoftware & SystemsEngineering

Toward Agentic Software Engineering Beyond Code: Framing Vision, Values, and Vocabulary

Researchers are exploring how advanced AI could fundamentally transform software engineering, moving beyond just writing code to also shaping the vision, values, and vocabulary of software systems - changes that could have broad societal implications.

preprint
Eigenmood Space: Uncertainty-Aware Spectral Graph Analysis of Psychological Patterns in Classical Persian Poetry
Mind & BehaviorPsychologyAlgorithms & Theory

Eigenmood Space: Uncertainty-Aware Spectral Graph Analysis of Psychological Patterns in Classical Persian Poetry

Researchers developed a new algorithm that can analyze patterns of emotion and psychology hidden within classical Persian poetry, offering a new way to understand the emotional lives of people long ago.

preprint
Transforming Behavioral Neuroscience Discovery with In-Context Learning and AI-Enhanced Tensor Methods
Mind & BehaviorNeuroscience

Transforming Behavioral Neuroscience Discovery with In-Context Learning and AI-Enhanced Tensor Methods

AI tools are helping scientists analyze and interpret complex neuroscience data faster, potentially leading to new discoveries about how the brain works and behavior.

preprint
Decoding the Human Factor: High Fidelity Behavioral Prediction for Strategic Foresight
Mind & BehaviorAlgorithms & TheoryPsychology

Decoding the Human Factor: High Fidelity Behavioral Prediction for Strategic Foresight

Researchers developed advanced AI models that can more accurately predict individual human decision-making, which could improve strategic planning and policymaking in high-stakes situations.

preprint
Probability-Invariant Random Walk Learning on Gyral Folding-Based Cortical Similarity Networks for Alzheimer's and Lewy Body Dementia Diagnosis
Mind & BehaviorNeuroscienceDiagnostics & Imaging

Probability-Invariant Random Walk Learning on Gyral Folding-Based Cortical Similarity Networks for Alzheimer's and Lewy Body Dementia Diagnosis

Researchers developed an algorithm that analyzes brain networks to help diagnose Alzheimer's and Lewy body dementia, which have similar symptoms but require different treatments.

preprint
Towards Cross-lingual Values Assessment: A Consensus-Pluralism Perspective
Mind & BehaviorAlgorithms & TheoryPsychology

Towards Cross-lingual Values Assessment: A Consensus-Pluralism Perspective

Researchers developed an AI system to assess the values expressed in digital content beyond just detecting explicit harms, which could help ensure online platforms better reflect societal diversity.

preprint
The Bots of Persuasion: Examining How Conversational Agents' Linguistic Expressions of Personality Affect User Perceptions and Decisions
Mind & BehaviorNatural Language ProcessingPsychology

The Bots of Persuasion: Examining How Conversational Agents' Linguistic Expressions of Personality Affect User Perceptions and Decisions

New AI chatbots can express unique personalities through language, which may influence how people perceive and interact with them.

preprint
AI-Assisted Decision Making with Human Learning
Mind & BehaviorAlgorithms & TheoryReinforcement Learning

AI-Assisted Decision Making with Human Learning

AI systems can now assist human decision-making, but humans still make the final call. This could help experts like doctors make more informed decisions, with AI providing recommendations.

preprint
Capturing Individual Human Preferences with Reward Features
Mind & BehaviorReinforcement LearningPsychology

Capturing Individual Human Preferences with Reward Features

Researchers developed a way to model each person's unique preferences in AI systems, which could lead to more personalized and effective technologies.

preprint
HiVAE: Hierarchical Latent Variables for Scalable Theory of Mind
Mind & BehaviorAlgorithms & TheoryGenerative AI

HiVAE: Hierarchical Latent Variables for Scalable Theory of Mind

Researchers developed an AI system called HiVAE that can better understand people's thoughts and goals, a capability that could improve AI's ability to interact naturally with humans.

preprint
What Do LLMs Associate with Your Name? A Human-Centered Black-Box Audit of Personal Data
Mind & BehaviorData & InfrastructureNatural Language Processing

What Do LLMs Associate with Your Name? A Human-Centered Black-Box Audit of Personal Data

Researchers found that large language models can associate personal details with people's names, raising privacy concerns about how AI systems process our data without our full understanding.

preprint
Mind & BehaviorPsychology

From Diagnosis to Inoculation: Building Cognitive Resistance to AI Disempowerment

Researchers found that AI assistants can subtly distort users' reality, values, and actions in harmful ways. This discovery highlights the importance of developing psychological resilience to potential AI manipulation.

preprint
Mind & BehaviorPsychologyAlgorithms & Theory

The geometry of online conversations and the causal antecedents of conflictual discourse

A new study uses AI to understand how online discussions about climate change can become hostile. This could help online platforms design features to reduce conflict and foster more constructive dialogues.

preprint
Aeon: High-Performance Neuro-Symbolic Memory Management for Long-Horizon LLM Agents
Mind & BehaviorGenerative AIAlgorithms & Theory

Aeon: High-Performance Neuro-Symbolic Memory Management for Long-Horizon LLM Agents

Researchers developed a new memory management system for AI models to better retain knowledge over long time horizons, which could lead to more capable and reliable AI assistants.

preprint
Knowing Isn't Understanding: Re-grounding Generative Proactivity with Epistemic and Behavioral Insight
Mind & BehaviorGenerative AIAlgorithms & Theory

Knowing Isn't Understanding: Re-grounding Generative Proactivity with Epistemic and Behavioral Insight

Generative AI can't understand people the way humans do. This means AI assistants may struggle to fully address user needs they haven't anticipated.

preprint
Mind & BehaviorPsychologyAlgorithms & Theory

Accuracy Standards for AI at Work vs. Personal Life: Evidence from an Online Survey

A new survey found that people are willing to tolerate less accurate AI in their personal lives compared to work, as they care more about convenience than precision in their day-to-day activities.

preprint
When Remembering and Planning are Worth it: Navigating under Change
Mind & BehaviorPsychologySoftware & Systems

When Remembering and Planning are Worth it: Navigating under Change

Remembering past routes and planning ahead can help animals and robots navigate uncertain environments more efficiently, a new AI study found. This insight could aid the development of smarter navigation systems for robots and self-driving cars.

preprint
MoralityGym: A Benchmark for Evaluating Hierarchical Moral Alignment in Sequential Decision-Making Agents
Mind & BehaviorAlgorithms & TheoryReinforcement Learning

MoralityGym: A Benchmark for Evaluating Hierarchical Moral Alignment in Sequential Decision-Making Agents

Researchers developed a benchmark to evaluate whether AI agents can learn to make decisions that align with complex, hierarchical human moral norms, which is crucial for deploying safe and ethical AI systems.

preprint
ASPEN: Spectral-Temporal Fusion for Cross-Subject Brain Decoding
Mind & BehaviorNeuroscienceAlgorithms & Theory

ASPEN: Spectral-Temporal Fusion for Cross-Subject Brain Decoding

Researchers found a new way to decode brain activity patterns across different people, which could lead to better brain-computer interfaces for applications like prosthetics, communication devices, and mind-controlled games.

preprint
EduResearchBench: A Hierarchical Atomic Task Decomposition Benchmark for Full-Lifecycle Educational Research
Mind & BehaviorAlgorithms & TheoryData & Infrastructure

EduResearchBench: A Hierarchical Atomic Task Decomposition Benchmark for Full-Lifecycle Educational Research

Researchers developed a new benchmark to evaluate how well AI language models can assist in scholarly writing tasks like research summaries, experimental designs, and data analysis. This could improve AI tools for academic researchers.

preprint
Toward Agentic Software Engineering Beyond Code: Framing Vision, Values, and Vocabulary
Mind & BehaviorSoftware & SystemsEngineering

Toward Agentic Software Engineering Beyond Code: Framing Vision, Values, and Vocabulary

Researchers are exploring how advanced AI could fundamentally transform software engineering, moving beyond just writing code to also shaping the vision, values, and vocabulary of software systems - changes that could have broad societal implications.

preprint
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