AI and machine learning

Asking ChatGPT a question on an iPhone returns a detailed answer.  Of course, it’s slightly different when asked again. The question: “What devices are useful for monitoring older adults in their home?”  The­­ categories (and sub-categories) were not surprising – you can give it a try yourself.  They included medical alerts, smart home devices, cameras and video monitoring, remote health monitoring fall detection sensors, GPS tracking devices, medication management, environmental monitoring.   On the iPhone, adding companion robots – and an observation: “These devices, especially when used together, can create a safer and more supportive environment for older adults living independently.”

Technology has enhanced the world for those with vision limitations. As many as 50 million Americans have some degree of vision loss -- a problem that was poorly addressed by technology prior to the arrival of smartphone navigation, smart glasses, sensors, robotics and AI in nearly all devices and technologies. Today, it's a whole new and innovative world -- supportive of individuals with a range of vision limitations from low vision to completely blind.  And in fact, today those who are blind can use haptics to follow a game in real time, even in a stadium.  They can create presentations from data sets, read road signs down the road, navigate airports and safely make their way through obstacle-filled streets.  Here are five technology enablers that will likely make a difference:

The month of May -- and the hostility about AI overflowed.  Given the pace of change in AI technology – both the software and its rate of adoption – it’s curious that recently the Wall Street Journal published an aging survey about what customers don’t use and/or like about chatbots. These observations include the usual: ‘hallucinated’ answers; lack of customer awareness that they are talking to a chatbot (really???); the chatbot is too nosy. Or it asked too many questions; or couldn’t handle two questions. Which would make this article, like much of media coverage of AI, sound negative. Too late, adoption happened anyway. This is a commentary, perhaps, on the nature of news media in general, who either are mirroring the AI skepticism in the public, or more typically promoting it. But clearly with chatbot adoption, the public is paying new attention. Sigh.  Here are the four blog posts from May, 2024:

It’s 2024 -- chatbots, yuck? Given the pace of change in AI technology – both the software and its rate of adoption – it’s curious that recently the Wall Street Journal published an aging survey about what customers don’t use and/or like about chatbots. These observations include the usual: ‘hallucinated’ answers; lack of customer awareness that they are talking to a chatbot (really???); too nosy. Or it asked too many questions; couldn’t handle two questions. Which would make this article, like much of media coverage of AI, sound negative. Too late, adoption happened anyway. This is a commentary, perhaps, on the nature of news media in general, who either are mirroring the AI skepticism in the public, or promoting it. But clearly with chatbot adoption, the public is paying new attention.