Uncertainty Aware AI ML: Why and How

2018/09/20 by Lance Kaplan, Federico Cerutti, Kaplan, Lance +7 · 2 citations
Computer Science · #AI-based Problem Solving and Planning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences

paper · doi:10.48550/arxiv.1809.07882

openalex publication_date 2018/09/20 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/29

Abstract

This paper argues the need for research to realize uncertainty-aware artificial intelligence and machine learning (AI&ML) systems for decision support by describing a number of motivating scenarios. Furthermore, the paper defines uncertainty-awareness and lays out the challenges along with surveying some promising research directions. A theoretical demonstration illustrates how two emerging uncertainty-aware ML and AI technologies could be integrated and be of value for a route planning operation.

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• Learning a metacognition for object perception
• Explainable AI for Intelligence Augmentation in Multi-Domain Operations

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