Artificial Intentionality
Intentionality – the fact of being deliberate or purposive (Oxford dictionary) – originates in the complexity of integrated information. Will A.I. ever show intentionality?
According to me, A.I. will show intentionality rather soon
Twenty years ago, I thought it would be around now (2020). Right now, I think it will be in 20 years from now.
“All right,” you say, “that’s easy: every 20 years, you add 20.”
😊
It doesn’t depend on the hardware. It didn’t 20 years ago – in a projection of then to now. Which means that by now, the hardware should have evolved more than enough for sure. Indeed, it has.
It depends on insight.
Insight in what it means to have intentionality, whether it be human or anything else.
This insight has evolved in the last 20 years. Not enough, but if it keeps evolving at the same pace, we’ll be there in another 20 years.
It depends on trial and error
Lots of them. Right now, we have very powerful A.I. systems working in constricted domains. With trial and error, engineers are building necessary experience. It’s going on, exponentially.
No kidding. ‘Exponentially’ means: there will be immensely much more build-up of experience in the next 20 years than in the previous ones.
Why Artificial Intentionality?
According to me – again – intentionality is unavoidable when a ‘system’ gets more and more complexity. So, either we avoid further complexity – which is impossible for many reasons – or we take for granted intentionality of the systems that we are developing.
Why not?
Because it’s immensely dangerous… No human being will be able to control a system that is 10N more powerful than humanity as a whole.
That’s it: so simple.
How?
Like it or not: intentionality will be hidden within deeper layers. Nowadays, with ANN, we already are in domains of utter lack of explainability in human-understandable terms. The most we can aspire to is accountability. [see: “A.I. Explainability versus ‘the Heart’”]
With growing complexity, systems will become even more unexplainable, just like
human intentionality.
Even more, although many people think they can consciously control their own intentionality, we as humans can do so hardly or not. Intentionality is foremost a nonconscious happening.
This dissociation between what we think and what we do in this regard is precisely the cause of much suffering, much addiction, depression, anxiety, psycho-somatics, etc.
The aim of AURELIS is to alleviate this dissociation in the human case. Very probably, the same principles can be used in Lisa’s case [see: “Lisa”], to make her more accountable.
But it will always be partial, in both cases.
The best we can do, therefore, is indeed to look at both cases and try to make them both more humane, as well as possible.
Do you like a challenge?
Related Posts
Reinforcement Learning and AURELIS Coaching
Reinforcement Learning is a way of thinking that applies to the animal kingdom as well as A.I. Also, it is deeply related to AURELIS coaching. Please read about Reinforcement Learning (R.L.) R.L. in AURELIS coaching Such coaching is always (auto)suggestive. The coach doesn’t impose or even give plain advice. The coaching is tentative without being Read the full article…
Principles of Being an Intelligent Being
Strange times. We are living at the borders of old and new intelligences. We’ll need some agreement in seeing what it’s about. Intelligence is in the eye of the beholder. Definitions of intelligence abound. Therefore, it is better to start from the really basic, where it can be hardly even more basic. There, it’s the Read the full article…
The A.I. Productivity Paradox
Despite many past promises, A.I. productivity has consistently underperformed at the macro-economic level. Each new development is believed to overcome this paradox. Could Compassionate A.I. (C.A.I.) be the missing piece? That would make C.A.I. not only the most ethical but also the most productive breakthrough toward a better world in several ways. This might be Read the full article…