As a forensic researcher, I want to conduct white box studies on bloodstain pattern analysts' interpretations, so that I can understand their decision-making processes and improve reliability.
Cognitive Process Mapping: AI could analyze eye-tracking and decision logs to understand how analysts interpret bloodstain patterns.
Natural Language Processing (NLP) for Justification Analysis: AI could examine analysts' verbal or written justifications to identify common reasoning patterns and inconsistencies.
Pattern Recognition & Comparison: AI could compare human interpretations against algorithmic analyses to detect variations.
Bias Detection Algorithms: AI could identify trends in analysts’ biases based on case type, stain shape, or other factors.
Automated Report Summarization: AI could compile insights from multiple white box studies to highlight key findings efficiently.
Our mission is to inspire the forensic science community to explore how AI can transform their practice—enhancing reliability, efficiency, and decision-making while valuing transparency and trust
Transforming industries by delivering innovative AI solutions that drive success and create value for businesses of all sizes.
Transforming industries by delivering innovative AI solutions that drive success and create value for businesses of all sizes.
Transforming industries by delivering innovative AI solutions that drive success and create value for businesses of all sizes.
Transforming industries by delivering innovative AI solutions that drive success and create value for businesses of all sizes.
