We are enabling the transition to Artificial Intelligence (AI) and towards increasing levels of automation in the manufacturing sector, also working on legal and ethical issues that need to be resolved, such as the allocation of liability in case of accidents (liability) and the need for artificial intelligence to be understandable (explainability), ethical and accountable. In the XMANAI project, Deep Blue’s legal area and our Human Factors experts worked on the legal liability part within an eight-dimensional framework for assessing the risks associated with AI applications in industry. The tool is available for manufacturing industries as an iterative process to be applied either at the beginning of a project or for the evaluation of a system that have already been implemented. It is articulated as follow:
- Analysis of the risks associated with AI applications.
- Identification of critical points with risk beyond the established threshold of acceptability.
- Development of mitigation actions to be implemented to bring the risk within the established threshold.