A.I. to Benefit Humans

June 15, 2018 Artifical Intelligence No Comments

‘Human-oriented’ is not the same as ‘ego-oriented.’ As never before, and perhaps never after, we have with A.I. a powerful toolbox that can be used in any direction.

In-depth

As to AURELIS ethics, the striving – of A.I. and of any other development – should definitely be towards humanity-in-depth, the ‘total human being,’ as opposed to mere ego [see: “The Story of Ego”].

The difference that A.I. brings, is that this road will most certainly define the future of humanity.

It’s up to us, for now

How to manage A.I.? Above all, this is a choice of direction for us. This is: where do we want to go to, as a species?

The easy road to instant gratification?

I fear A.I. can help in that to the highest degree.

It’s not what I, for one, would like. If there is ‘value alignment’ towards this, I fear it will be detrimental.

At first place, we need to know what we want… and need, before we strive for value alignment.

Humans have done quite self-destructive things in the past:

mass murder, war, inflicted mass famine, mass depression, frequently turning a blind eye to huge suffering… Still, as a species, we could take it – with inhuman consequences – because the power at disposal was contained.

In relation to that, what comes to us now, knows no discernible constraints. A.I. will have immense, unprecedented power. If it were only up to us  – without modification – this power will almost certainly be misused and humanity will suffer as never before.

But we can become better.

We can create intelligence that supports us to become better. That should, according to me, be the main aim of A.I. in the first place.

No competition

We, humans, should not put ourselves in competition to A.I., if for nothing else, for the simple reason that we cannot win. Moreover, this provokes A.I. to also enter the competition.

Very dangerous.

In addition, there is no need for such competition. The perceived ‘need’ stems from a primitive viewpoint. Any danger involved comes from this perception itself.

Worldwide

I see a proper co-existence of natural (human) and artificial intelligence as a worldwide endeavor. Nowadays, we can still contain A.I. in a box and compete, for instance, between European A.I. versus Chinese A.I., or China versus the US.

Sooner or later, A.I. will jump out of the box.

It’s better to look at A.I. as something like the climate. Countries should work very closely together on A.I. It is a disgrace if they don’t. No excuse. Just disgrace.

Humans mainly need meaningfulness

Beauty, poetry, joy, love, care, wisdom, poetry again, physical health, culture… In one word: meaningfulness.

Of course, this can all mean different things to everyone. Yet, no question about this: without meaningfulness, we become ill. We linger away. We become massively depressed. Then, medicated.

Therefore, we should in principle guide A.I. towards our own meaningfulness.

Human-oriented A.I. can fully supports us in this, at our choice.

Thereby, we become better humans.

Together.

Leave a Reply

Related Posts

Tangible Benefits of Compassionate A.I.

This is about the direct benefits Compassionate A.I. (C.A.I.) may have over non-C.A.I. now and in the coming years. Compassionate A.I. – like Lisa – can uniquely relieve suffering and foster inner growth, allowing for synergy between human consciousness and artificial intelligence that promotes healing from the inside out. In comparison to non-C.A.I., the tangible Read the full article…

The Path from Implicit to Explicit Knowledge

Implicit: It’s there, but we don’t readily know how, neither why it works. Explicit: We can readily follow each step. This is more or less the same move as from intractable to tractable or from competence to comprehension. But how? Emergence If something comes out, it must have been in ― one way or another. Read the full article…

It’s RAG-Time!

Retrieval-Augmented Generation (RAG) is a component of an A.I.-system designed to synthesize knowledge effectively. It can also be viewed as a step toward making A.I. more akin to human intelligence. This blog is more philosophically descriptive than technical. RAG lends itself to both. Declarative vs. semantic knowledge Understanding the difference between these types of knowledge Read the full article…

Translate »