Language is just one element that machines will need And collaboration can’t just be one-way; companies to understand to better collaborate. For many employees, must complete the feedback loop and build the capabilities these technologies are most valuable when they can that allow humans to better understand machines. True understand the physical context of humans. Companies iteration will require understanding the decision-making 23% must ensure the tech can sense—and make sense of process of an AI system, so that people can correct or —a person’s surroundings to enhance human-machine fine-tune it as needed. The growing field of explainable collaboration. Image recognition and machine learning AI is letting humans de-mystify the output of previously allow Microsoft’s HoloLens 2 mixed reality headset to “black-box” AI systems—making human-machine not only see, but also understand the wearer’s physical collaboration possible even if the AI wasn’t designed 8 environment. While previous XR devices might only know to explain its decision-making process, through that something exists in the field of vision, the HoloLens approaches like counterfactual explanations. 2 identifies an object and understands what that object Only 23% of organizations is: for instance, a couch is not just a series of pixels, but report they are preparing their something that can be sat on and belongs in a living workforce for collaborative, room. This contextual understanding of the environment interactive, and explainable unlocks new capabilities for the device, like being able AI-based systems. to identify dangerous equipment and warn the wearer if the equipment is operating hazardously.9