Conversational and generative AI

The elusive dream of AI accountability in the face of disaster.  You know, of course, that ChatGPT is trained to avoid showing harmful material.  It’s ‘built with safety in mind.’ Just ask OpenAI. So the plethora of cases that has emerged in the past few years in terms of triggered suicide (Sept 2025) and then in November 2025 (“You’re not rushing into suicide, you’re just ready”) and March, 2026 via a train: ‘what’s the most successful way to take your own life?’ Parental controls were introduced, no doubt as a defensive measure, in 2025 after one of these ‘incidents.’  Ah, but perhaps day late and a dollar short --  the controls apply to 13 to 17-year-olds and are not on by default! And some say they are broken by design – requiring linking child’s account to parent’s.

This Aging in Place Tech blog was launched officially in 2009. We asked ChatGPT to give the December, 2009 blogs a review and compare them to October, 2025 blogs to see what changed in terms of topics and tone.  In 2009, it detected an emerging market and observations about immature and simplistic products and gadgetry. Remember GE’s acquisition of QuietCare? It detected frustration with fragmented markets, poor adoption and naïve assumptions in the market about older adults. ChatGPT also noticed observations about poor usability and lack of integration among products, vendor hype (touch screens had just emerged), as well as the need for market education.  The belief in 2009 was that older adults could and would adopt technology if it is useful and respectful.

A search for 2026 and AI concerns is, uh, concerning.   It’s a bubble, it’s a risk, it’s an international safety issue, it’s a trust issue, it needs to be regulated by the government, and so on. And that is just this past month! But has the ship already sailed?  If 90% of Google tech workers use AI at work, 50% of AI agent usage is in software engineering, 90% of software developers use an AI coding assistant at least weekly.  

Today's baby boomer is open to monitoring his or her own health. The population aged 62-80 are increasingly likely to own smartphones, smart watches, Wi-Fi in the home and other tech, such as hearables and chronic disease tracking tools. They may have hearing or vision limitations that could be assisted with new technology. They may have family members who are also interested in their wellbeing.  A large number them may be solo agers, divorced, widowed and living alone or a long distance from family.  The majority will remain in their own homes for as long as is feasible.

Recent research highlights AI opportunities for care-related organizations. The recent report AI and Older Adults – What’s Now and Next in 2026 highlights problems and potential for the uses of artificial intelligence in organizations that serve older adults. While caution is warranted and barriers are visible, senior living and home care firms will likely move forward in the near term on AI initiatives. Why? Because worker shortages, stretched staff and ultimately customer demand will mandate change. This includes AI agents to help improve efficiency, screen applicants more effectively, and free up more time to better serve clients. From the report, here are possibilities for both home care and senior living organizations.

The AARP survey of ‘Jobs to be Done’ by AI shows readiness for health-related AI.  Health-related opportunities were cited – medication tracking, personalized wellness guidance, and active living reminders. At the same time, the report asserts that adoption depends on trust, customization and integration into day-to-day life.  What stands between today’s AI offerings and that next stage of adoption, which will be dependent on our trust of the technology.