Coach-bots Shouldn’t Make People Do Things
This is a first principle for Lisa: never to make a human being do anything ― not even by giving advice if anyhow possible.
From this constraint, the thinking goes toward how Lisa can operate sensibly. It forces us to think creatively.
What comes from inside makes you stronger.
This is an AURELIS coaching principle about Inner Strength. The same change at only the surface level is generally less durably effective than when it comes from inside out ― for reason of inner complexity and the way the brain works in mental change.
Making people do things doesn’t honor our brain/mind complexity. Thus, it can engender much resistance to change.
It’s preferable to let any change come from the user ― more specifically, from deep inside. This gives a sense of spontaneity. It also provides – if adequately supported and explained – a sense of self-responsibility.
Nowadays, many people still need an explanation about human depth. Nevertheless, a proper insight into this is essential for any coaching.
In the case of a chat-bot
Here comes an additional ethical concern. In my view, never should any robot straightforwardly make any human being do things. This ethical principle is needed to prevent us from sliding toward a future in which our self-made intelligent artificial creature will subdue humanity.
Only humans should make other humans do things ― Compassionately.
A robot may invite humans. Of course, an invitation can be pretty powerful. ‘Not making anyone do things’ is, therefore, in the strictest sense, rather an intention that should be strictly followed. One can embed such an intention into a Compassionate A.I. as part of the Compassion.
Autosuggestively
Suggestive technology should never be misused, especially not by A.I. agents. This is challenging to discern, so it needs to be guaranteed by the developers.
As a user, you need to be able to trust the developing organization. With Lisa, I hope this will never be an issue.
In any case, auto-suggestion denotes that the user is the focus of the energy (deep human motivation) that is being provoked. The human user is active. No things are being done to him ― no suggestions implanted or anything.
Change is invited when the user is ready for it and congruent with himself as a total person.
The goal of A.I. coaching
This must always be a better A.I. for better humans. Compassionate A.I. will naturally pivot toward this goal in many ways.
This is not only my hope but my active endeavor for years. I hope it will continue to be so.
The future will be bright if we make it happen.
Related Posts
Patterns + Rewards in A.I.
Human-inspired Pattern Recognition and Completion (PRC) may significantly heighten the efficiency of Reinforcement Learning (RL) — also in A.I. See for PRC: The Brain as a Predictor See for RL: Why Reinforcement Learning is Special Mutually reinforcing PRC shows valid directions and tentatively also realizes them. RL consolidates/reinforces the best directions and attenuates the lesser Read the full article…
Mental Growth Beyond A.I.: Our Human Edge
This may become increasingly important in the future when super-A.I. can, in principle, do almost anything humans do nowadays. Of course, the issue is already crucial and has always been. Mental growth is intimately connected to meaningfulness and Compassion. This highlights the AURELIS commitment to growth, not as an optional luxury but as a fundamental Read the full article…
Simplicity in A.I.
Simplicity in A.I. is both a virtue and a challenge. It offers clarity, accessibility, and efficiency yet risks losing depth and richness if not designed with care. True simplicity doesn’t strip away complexity; it distills it into its essence, creating a foundation for depth and insight. The central question is: How can we design A.I. Read the full article…