Latest Articles for Explainability

This model improves predictions of commuting patterns for better urban planning.

This article discusses explainability and fairness in legal judgment prediction models.

Combining rule-based systems and deep learning for better understanding of relationships.

Addressing fairness in machine learning for better statistical outcomes.

Exploring the principles and importance of ethical AI use.

Exploring decision-making and explainability in self-driving cars.

Exploring the key traits and challenges of developing reliable AI systems.

Discover how interactive visualization improves human-centered AI tools for better decision-making.

A study on using the MGS dataset to identify AI-generated stereotypes.

LeGrad enhances understanding of Vision Transformers' predictions through effective heatmaps.

A deep dive into ChatGPT's capabilities and constraints in natural language processing.

Rad4XCNN bridges deep learning and radiomics for clearer medical AI insights.

Introducing SAFE-RL for clearer decision-making in AI systems.

A new framework enhances understanding of vehicle routing decisions.

Explore how foundation models improve time series data analysis across various fields.

Examining how explainable AI benefits malware evasion strategies.

A method to identify and explain fake news on social media platforms.

This article presents a new method for enhancing reasoning in language models.

Exploring influence-based explainability in AI for brain tumor imaging.

Exploring effective collaboration methods between humans and AI systems.

A new method combines technology for accurate carbon footprint calculation and understandable explanations.

Exploring how robots can better understand and explain conversations with people.

A deep dive into how uncertainty affects neural network predictions.

GNAN combines interpretability and accuracy for graph-based AI models.

A new method combines explainability with privacy in clustering for better data insights.

Harnessing AI to improve decision-making in healthcare.

MedExQA sets a new standard for evaluating medical language models with a focus on explanations.

Explaining GNN decisions using activation rules improves trust and understanding.

This article presents a method for real-time spam review detection and explainability.

A new approach to classify human and machine-generated texts more effectively.

A new method improves prediction clarity in softmax classifiers for critical fields.

A look at how explainability impacts ML decisions in cybersecurity.

Examining how large language models tackle commonsense reasoning in question answering.

A system generates synthetic human movement paths to enhance security measures while protecting privacy.

Simplifying AI tools can empower artists to enhance their creative expression.

EndoFinder aids doctors in making informed polyp decisions during colonoscopy.

Examining AI decision-making and its unexpected challenges.

xAI-Drop leverages explainability to improve Graph Neural Networks' performance and clarity.

A new tool for assessing explainability methods in AI systems.

Exploring AI's role in finding new uses for existing drugs in rare diseases.