Latest Articles for Trust

Study explores voter perceptions of fake voting credentials to combat coercion.

A framework to improve Explainable AI methods and user trust.

Learn how groups of agents can agree despite unreliable members.

Exploring how trust develops in human-agent interactions over time.

Learn how Federated Learning enhances data privacy and device trust.

Examining the challenges and future roles in automatic programming with LLMs.

Examining how emotions, communication, and teamwork impact software creation.

Effective regulation is key to fostering user trust in AI systems.

A method to assess user trust in AI, especially in healthcare settings.

Exploring the impact of smart cameras on privacy and relationships.

AI's role in welfare benefits raises concerns over speed versus accuracy.

Gridt offers a unique system for effective group communication and decision-making.

Examining key barriers to building an agile culture in organizations.

This research examines reactions to AI errors in personality assessments.

A comprehensive look at trust dynamics in AI systems and their supply chains.

Examining the role of AI in agriculture, autonomous systems, and healthcare.

Examining how shared values impact trust between humans and robots.

Research explores ways to improve trust in LLM outputs through factuality and sourcing.

A new method enhances trust and decision-making for AI-assisted advice.

A new method addresses conflict in multi-view classification for better decision-making.

Research examines the link between AI explanations and user trust.

Combining data types improves early detection and treatment of breast cancer.

New method reveals vulnerabilities in GNN explanation methods.

Exploring how trust influences personalized recommendations in online platforms.

Effective eHMIs enhance safety and interaction in urban spaces.

Learn why unique IDs for AI systems enhance safety and trust.

Examining how feelings affect students' learning and mental health.

Ensuring AI explanations are clear and reliable for user trust.

This study examines how AI assistants affect teamwork and communication dynamics.

Examining how social networks impact happiness in older adults.

Awareness and concerns about deepfakes grow amid rising technology advancements.

Examining how to foster trust in machine learning systems.

Understanding the importance of auditing machine learning explanations for trust.

This study examines trust and usability in electronic voting systems.

Learn how to foster trust in data and improve decision-making.

A formal approach to ensure reliable information across supply chains.

A new scale assesses cognitive and affective trust in AI systems.

A look at the importance and challenges of anomaly detection in various fields.

Zero-knowledge proofs enhance privacy and security in modern digital transactions.

This article examines how trust in robots changes during task performance.