We examine ProcessGPT, an AI model designed to automate, augment, and improve business processes, to study the challenges of managing business processes within the cognitive limitations of the human workforce, particularly individuals with cognitive disabilities. ProcessGPT provides a blueprint for designing efficient business processes that take into account human cognitive limitations. By viewing this through the lens of cognitive disabilities, we show that ProcessGPT improves process usability for individuals with and without cognitive disabilities. We also demonstrate that organizations implementing ProcessGPT-like capabilities will realize increased productivity, morale, and inclusion.

Even as AI technology transforms some aspects of cybersecurity, the intersection of the two remains profoundly human. Although it's perhaps counterintuitive, humans are front and center in all parts of the cybersecurity triad: the bad actors who seek to do harm, the gullible soft targets, and the good actors who fight back. Even without the looming specter of AI, the cybersecurity battlefield is often opaque to average users and the technologically savvy alike. Adding a layer of AI, which comprises numerous technologies that can also feel unexplainable to most people, may seem doubly intractable -- as well as impersonal. That's because although the cybersecurity fight is sometimes deeply personal, it's rarely waged in person.

Current architectures for social agents are designed around some specific units of social behaviour that address particular challenges. Although their performance might be adequate for controlled environments, deploying these agents in the wild is difficult. Moreover, the increasing demand for autonomous agents capable of living alongside humans calls for the design of more robust social agents that can cope with diverse social situations. We believe that to design such agents, their sociality and cognition should be conceived as one. This includes creating mechanisms for constructing social reality as an interpretation of the physical world with social meanings and selective deployment of cognitive resources adequate to the situation. We identify several design principles that should be considered while designing agent architectures for socio-cognitive systems. Taking these remarks into account, we propose a socio-cognitive agent model based on the concept of Cognitive Social Frames that allow the adaptation of an agent's cognition based on its interpretation of its surroundings, its Social Context. Our approach supports an agent's reasoning about other social actors and its relationship with them. Cognitive Social Frames can be built around social groups, and form the basis for social group dynamics mechanisms and construct of Social Identity.