CrossSense is one example of an assistive AI technology being developed by a co-operative in London.
Helping them with their digital activities when user interfaces are constantly changing.
To help caregivers track residents’ health conditions and intervene before problems escalate.
But they aren’t entirely confident they will be able to do so.
Noting from studies how easily AI-powered chatbots can be manipulated to craft convincing phishing emails.
Comments
Make Systems Proactive, Instead of Reactive
The data collected by these systems is often used to react to what they learn. “I’ve fallen and can’t get up.” Brings about a reaction to the situation, call 911, etc., but now the hip is broken, and the problems have just begun. To say nothing about the costs that will be incurred.
Their real benefits of these systems will be realized when they can used proactively to prevent the “I’ve fallen and can’t get up.” occurrence.
For example: A person’s blood pressure is found to be 85/55, this then provides an alert that is transmitted to all those who are involved in their care so that person can be contacted and told to stay in bed or in their chair and that someone will coming to assist them. Then it can be determined that perhaps they took medication incorrectly, or that there is something more serious occurring that requires other action. Whatever the reason, proactive response may have stopped a fall, and stopping a fall is far more valuable result than helping after the fall occurs.