The Double Ethical Bottleneck of A.I.

January 30, 2023 Artifical Intelligence No Comments

This is a small excerpt from my book The Journey Towards Compassionate A.I. The whole book describes the why’s, what’s and how’s concerning this.

Getting through the A.I. bi-bottleneck

On the road towards genuine super-A.I. – encompassing all domains of intelligence and in each being much more effective than humans – I see not one but two bottlenecks. This is no guarantee that after the bottlenecks, there will be heaven on earth, but let us suppose now that, from the day after, all will be well indeed.

That enables us to focus on the bottlenecks.

  • The first one is human-made. Either rogue or naïve developers may take very wrong decisions. There is a sheer infinite amount of scenarios that one can think about. In the next section, I give a few examples. One may be enough not to need to fear any other anymore. It is the end, my friend.
  • The second bottleneck is A.I.-made. On its way towards super-A.I. and beyond, there may be many stages and many changes. Even if the final stage is benevolent, and even if most stages are benevolent, it’s enough for only one stage to be less human-friendly, and we’re gone.

The bi-bottleneck may be quite long with many different stages.

Will humanity be able to control to a sufficient degree everything that can happen?

I think, and repeat, that reliance on control alone will not save us. I also don’t think we should relinquish all control and hope with crossed fingers that A.I. will eventually be Compassionate just like that, after the bottleneck as well as at any stage along. So, we should very well think about control, AND we should think about Compassion. BOTH are indispensable.

I hope that this book will be a wake-up call in this direction.

Leave a Reply

Related Posts

Is All Learning Associational?

Most probably. This is a domain where animal/human learning and A.I. learning can learn much from each other. Three forms of learning in A.I. Generally, learning in A.I. is divided into two distinct kinds, with a third one dangling in the appendix, referring to another book (*). supervised learning: training with specific input and labeled Read the full article…

Reinforcement Learning & Compassionate A.I.

This is rather abstract. There is an agent with a goal, a sensor, and an actor. Occasionally, the agent uses a model of the environment. There are rewards and one or more value functions that value the rewards. Maximizing the goal (through acting) based on rewards (through sensing) is reinforcement learning (R.L.). The agent’s policy Read the full article…

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…

Translate »