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
Causation in Humans and A.I.
Causal reasoning is needed to be human. Will it also transcend us into A.I.? Many researchers are on this path. We should try to understand it as well as possible. Some philosophy Causality is a human construct. In reality, there are only correlations. If interested in such philosophical issues, [see: “Infinite Causality”]. In the present Read the full article…
What is an Agent?
An agent is an entity that takes decisions and acts upon them. That is where the clarity ends. Are you an agent? The answer depends on the perspective you decide to take. Since the answer also depends on who is seen as the taker of this decision, the proper perspective becomes less obvious from the Read the full article…
Why Reinforcement Learning is Special
This high-end view on Reinforcement Learning (R.L.) applies to Organic and Artificial Intelligence. Especially in the latter, we must be careful with R.L. now and forever, arguably more than with any other kind of A.I. Reinforcement in a nutshell You (the learner) perform action X toward goal Y and get feedback Z. Next time you Read the full article…