
Lance Eliot, Contributor
· 1 min read
AI Helps Meta-Mindfulness To Oversee Mindfulness And Keep Mindlessness In Check
In today’s column, I examine the nature of meta-mindfulness and showcase how generative AI and large language models (LLMs) can be of use in spurring mindfulness about mindfulness. Meta-mindfulness is considered a second-order form of mindfulness. First-order is everyday or regular mindfulness.
The purpose of second-order mindfulness, aka meta-mindfulness, is to guide and monitor the use of mindfulness. It provides a macroscopic perspective. In addition, meta-mindfulness aids in keeping tabs on mindlessness. The aim is to keep mindlessness in check while simultaneously aiming to optimize and enhance mindfulness. AI can be helpful in building the psychological wherewithal underlying meta-mindfulness.
Let’s talk about it. This analysis of AI breakthroughs is part of my ongoing Forbes column coverage on the latest in AI, including identifying and explaining various impactful AI complexities (see the link here).
Intertwining AI And Psychology
As a quick background, I’ve been extensively covering and analyzing a myriad of psychological facets regarding the advent of modern-era AI that produces mental health advice and performs AI-driven therapy. This rising use of AI has principally been spurred by the evolving advances and widespread adoption of generative AI and LLMs such as ChatGPT, GPT-5, Claude, Gemini, Copilot, Grok, and others. For a recap of my two hundred analyses and postings about AI and mental health, see the link here and the link here. I frequently speak up about these pressing matters, including in an appearance on an episode of CBS’s 60 Minutes; see the link here.
AI And Mindfulness
This suggests that a mentally uplifting cycle can ensue. A person may become increasingly mindful as they use AI to train their mind to be expansive. AI is serving as a psycho-educational mechanism that improves mental capacity. Furthermore, ongoing use of AI keeps them on their toes and mitigates potential backsliding into prior dour mental patterns.
Original source
This story was published by Forbes: Innovation and written by Lance Eliot, Contributor. SyncAI.news shows a preview; the complete article is on the publisher's site.
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