Tag
3 articles
This explainer examines the complex concept of trust in AI systems, exploring how technical mechanisms and human-AI interactions determine reliable AI behavior. Learn about the mathematical foundations and practical implications of AI trust in critical applications.
Neuramancer AI Solutions GmbH has raised €1.7 million in pre-seed funding to commercialize its deepfake detection platform, initially targeting the insurance industry. The startup leverages explainable AI to comply with European regulations and combat fraud.
A new tutorial demonstrates how to build an explainable AI pipeline using SHAP-IQ to uncover feature importance and interaction effects in machine learning models.
