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Security and Safety Aspects of AI in Industry Applications
In this relatively informal discussion-paper we summarise issues in the domains of safety and security in machine learning that will affect industry sectors in the next five to ten years.
Dependable Neural Networks Through Redundancy, A Comparison of Redundant Architectures
With edge-AI finding an increasing number of real-world applications, especially in industry, the question of functionally safe applications using AI has begun to be asked.
Examining Redundancy in the Context of Safe Machine Learning
This paper describes a set of experiments with neural network classifiers on the MNIST database of digits.
Conceptual Design of Human-Drone Communication in Collaborative Environments
We present preliminary results on a human-drone and a drone-human language situated in the agricultural industry where interactions with trained and untrained workers and visitors can be expected.
