Human Understanding Capabilities of Symbiotic AI systems in FAIR (Future Artificial Intelligence Research)

Nowadays, we need AI systems capable of engaging and working with people, perceiving and acting within changing contexts, being aware of their limits and adapting to new scenarios, behaving correctly in complex social settings, being aware of their security and trust perimeters, and of being aware of the environmental and societal effect that their implementation and execution may imply. In summary, we require a formerly undiscovered AI. Symbiotic-AI systems should disclose human cognitive capabilities to improve the effectiveness of information access and decision-making. This is achieved by combining methods for determining who is interacting with the system and how. The former includes the definition of strategies for acquiring and exploiting users' personal information gathered by combining different strategies and heterogeneous sources. In contrast, the latter includes detecting and interpreting human signals acquired from various sources, such as advanced machine learning (particularly deep learning) and natural language processing.