As someone who’s spent decades sifting through the history of technology, I’ve seen a lot of excitement around new inventions. Today, that excitement often centers on Artificial Intelligence (AI). But as we stand here in August 2025, it’s crucial to talk about AI’s limitations, especially when we consider its use in sensitive areas.
We’re seeing critiques of tools like ChatGPT regarding their accuracy. While these models can generate impressive text, they sometimes present information with a false sense of certainty, even when it’s incorrect. This is a significant issue when information needs to be precise and reliable.
Even more concerning is the recent development where Illinois banned AI therapy tools. This decision highlights a growing awareness of the ethical challenges and potential risks associated with using AI in mental health. Therapy requires empathy, nuanced understanding, and a deep grasp of human emotion – qualities that AI, in its current form, simply cannot replicate. Relying on AI for mental health support, without robust human oversight, could lead to inadequate care or even harm.
Think back to the early days of computing. We marveled at machines that could perform calculations faster than any human. But even then, there were limitations and a recognition that these tools were aids, not replacements for human judgment and creativity. We had to learn how to use them effectively and understand what they couldn’t do.
This historical perspective is important when we look at AI today. The hype often overshadows the reality. While AI has the potential to assist us in many fields, its unreliability in critical applications, like providing mental health support or delivering factual, unvarnished information, is a serious concern. These technologies are still evolving, and it’s vital that we approach their implementation with caution, especially when human well-being is at stake.
We need to ask ourselves: are we ready to entrust AI with roles that require deep human understanding and ethical judgment? Based on current performance and recent regulatory actions, the answer, for now, is a cautious no. Let’s continue to explore AI’s capabilities, but let’s do so with our eyes wide open to its current limitations and the ethical responsibilities that come with its use.