Will Artificial Intelligence Be Friends Or Foe Of Humans?

Artificial Intelligence

There is a growing discussion on the natural resistance towards Artificial Intelligence (AI) and automation (such as robots on the pipeline)

A question arises that how will it become self-aware and realize that humans stand in its way?

The answer to the definition of AI.

Artificial Intelligence is the capability of a digital computer or computer-controlled robot that performs a task commonly associated with intelligent beings.

To evaluate that if AI is a friend or foe, two factors look into:

Automate resources using AI

Robots and AI allow producing things faster, better, and cheaper with higher consistency. It allows machines to replace people doing manual labor,

Examples are

  • Sorting mail
  • Assembling a product
  • Summarizing books

AI is very disruptive for low-cost countries that provide low-cost manufacturing for international companies since robots do this cheaply.

It is also disruptive to countries with higher salary levels, but not at the same level as low-cost countries.

Our forefathers had the same concern with industrial revolutions. They saw cars replacing horses for transportation and machines replacing people for fabrication.

Is there an increase in the unemployment rate?

Yes, only in the short-term, since you need fewer blacksmiths and more drivers and fewer factory workers, with more device operators.

This effect was a significant jump in productivity. These devices allow us to produce and deliver even better resources and services offered.

We are now facing such a similar transformation that needs a similar jump in productivity to be competitive and support a growing population and senior citizens.

IT helped fuel productivity from 1979 to 2007, but we have struggled to take this to the next stage. The maximum of our Enterprise IT budget has been used to maintain legacy systems and keep on hostages.

This reduction in productivity from 2007 was more visualized for US fabrication. We used IT that improves the value chain, but we are stuck trying to work harder instead of smarter.

Companies like Google and IBM have already been realized as the next frontier:

“Artificial Intelligence will be the ultimate version of Google. This ultimate search engine understands everything on the web. It would understand what exactly you wanted, and it would give you the right thing. We are nowhere near doing that now.

However, we get incrementally closer to that what we work on.”

We need a digital transformation that robots and AI are opportunities for us to improve local production and value creation.

A company or country that invests in robots that AI grows quicker than a competitor. For a country, this may be a higher GDP with reduced efforts. It means citizens have to work less than they do now. We might have 4, 3, or even 2-day work week with the same or higher quality of life in the future.

Automation or Augmentation?

Only Humans Need to Apply. This intent does not have less work, but always have ease of doing valuable works.

The best investment for intelligent devices does not guide people to be apart but makes them take more challenging executions.

In the current working environment, the proper application of AI needs highly specialized human people to set up and manage, which requires workers with new skills.

AI is never an out-of-box solution. Instead, it takes expertise to select the most efficient algorithms and conduct the initial neural networks training.

Many automated solutions think software platforms and applications generate large volumes of data for faster creation and augment information retrieval systems. The challenges made with this data is always still in the hands of knowledge workers.

Knowledge workers are as crucial as many systems which operate on a system of AI that relies on humans:

– Design, create and teach AI platform

– Provide contexts and make the connection to real-world situations

– Integrate and synthesize information across multiple systems

– Monitor and provide Quality Assurance (QA)

– Know the machine’s weaknesses and provide human intervention to bridge the gap.

At last, convince seven billion humans brains trusting decisions made by algorithms.

Enable Robots and Artificial Intelligence for learning

Humans learn from mistakes, but we often forget and get easily distracted. AI will also learn from the past, but also the same with other robots. It becomes a lot smarter than us, and some people worry that AI will replace us on top of the food chain (even though AI needs the power to function).

Artificial Intelligence will reach human levels by 2029. Follow that further, say, by 2045, we will make the intelligence multiplied, the human biological machine learning of our civilization has a billion-fold.

Once computers can effectively reprogram that successively improving my own, leading to a ‘technological singularity’ or ‘intelligence explosion,’ the risks of machine learning in battles for resources and self-preservation cannot merely be dismissed.

This development of complete artificial intelligence could spell the end of humans competition. It would swipe on its own and re-design itself with a higher increasing percentage. Humans, who are limited to slow biological evolution, could not compete and would be superseded.

We must address individual and collective moral and ethical issues raised by cutting-edge research in artificial intelligence and biotechnology. It enables significant life extension, designer babies, and memory extraction.

Under science fiction, this is realized as included for such principles in their robots, e.g., that robots cannot harm people. Some books and movies are about AI and robots harming people for achieving such overall targets. We need to be together to create rules for how to avoid such evolution. Governments and companies need to commit to such rules or face the consequences of non-compliance.

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All Comments

  • Anton Kittenberger

    ohne der K.I. wird es nicht mehr gehen

    7 months ago | 24 November, 2020 7:32 am Reply

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