The Social AI Platform
Enabling Individuals-Centric Social Resilience
How to get there?
... use Information Digital Twins!
The Social AI Platform uses a new type of digital twins - the Information Digital Twin (IDT) - to enable people and organizations to predict and automate their choices along complex interactions or scenarios, The outcome is thus a highly coordinated, automated and user-centric complex and resilient society.
Each Information Digital Twin (IDT) in the environment learns its user's-either a human or a machine-complex interaction patterns and preferences. Given an objective, each IDT recommends to its user the best actions to achieve the objective, but according to the user's unique preferences.
In a mature environment with digital twins, the IDTs become the "avatars" that people and machines use to join the digital world to manage their tasks and reach their goals.
The Social AI Platform is not just a solution, rather, It's a technology framework to manage and automate many types of processes involving people, machines, and organizations.
The Social AI Platform places the active agent of a scenario - whether human or machine - at the center of all decisions. As a result, process coordination and optimization reflect each agent's unique choices and preferences, which is critical for achieving adaptation and resilience.
Healthcare Digital Twins
How patient-specific digital twins, the Patient Human Digital Twin (Patient-HDT), can reduce the risks of ICU patients by continuously monitoring them predicting potential critical events, and alerting medical personnel.
The critical events predictions provide the medical staff with sufficient time to further examine the unfolding situation and mitigate potential risks, thus improving treatment effectiveness and reducing patients' risks.
The Patient HDT can be provided as a service to patients to keep monitoring their risks even after they leave the hospital.
Wellbeing Digital Twins
How a personal digital twins (the TwinUp app) can reduce children's risk of abuse by monitoring their social interactions, predicting potential abuse events, alerting them to change their behavior, or involving their caregivers to intervene and mitigate an abuse event before it happens, thereby reducing abuse in a community and ensuring children's safety.
The TwinUp creates a digital safety network for its users that links them with people they trust so they may get support whenever needed.
Because the TwinUp can predict a wide range of events, it can assist individuals in avoiding undesired encounters and ensure their safety.
SC Digital Twins
How a Shipment Digital Twin (Shipment-DT) monitors a shipment's progress through the supply chain, predicting shipment-specific delays, and alerting operators with mitigation options to minimize delays and ensuring delivery timeframes and costs.
The Shipment DT is a virtual instance that is terminated after the shipment has been completed. However, the predictions and risk assessments from several Shipment DTs are aggregated to improve SC-level predictions for events like delays or costs
Shipment DTs may be selectively aggregated to create Container DTs, Vessel DTs, or complete SC DTs.
Human-Machine Teaming with Digital Twins
How to use a combination of Human and Information Digital Twins to coordinate complex human-machine interactions toward a common goal. Each digital twin keeps is the user's avatar in the shared digital environment and it track of its user interactions, whether human or machine, predicts deviations from task objectives, and alerts their user or other team members so they can alter their actions accordingly, resulting in better overall team collaboration and goal achievement.
Over time, the models of the various digital twins (e.g., avatars) may be combined seamlessly to define more general, role-specific models (e.g., driver, pilot, or operator.) Such models are then used to establish trust between humans and machines and automate their complex interactions.
The Social AI Platform Overview
The Social AI Platform is the realization of an information architecture framework for modeling, managing, and automating hundreds of highly complex scenarios and procedures.
The key to achieving this level of coordination is to represent all involved data according to a consistent data structure, which is defined by the platform information architecture.
In other words, the information architecture captures the communication - exchange of information - between the various scenarios and the users in a consistent manner thus-ultimately-enable quantifying user actions according to their information value. This quantification-in return-enable the effective use of algorithms to predict user interactions and provide recommendations for best actions.
The Social AI Platform's central component is a universal type of digital twins, the Information Digital Twin (IDT).
The IDT learns from its users' interactions with their environment, predicts possible outcomes, and guides its users to the optimal course of action to achieve their goals.
The IDT learns its user preferences and automates some of their digital interactions. Thus, the IDT significantly boosts individuals' capacity to connect with society while freeing more of their attention to focus on their personal wellbeing.
Depending on the domain or use case, the Information Digital Twin (IDT) can be deployed as a mobile or desktop application that connects people to the platform, in which case it is referred to as a Human Digital Twin (HDT).
The IDT can also be deployed as a standalone device equipped with sensors and actuators to integrate robots or other types of agents into the platform (read more!).
