All of the tech giants, including Amazon, Alphabet, Facebook, Microsoft, and IBM, are talking about the AI ​​landscape. A new frontier for emerging technologies that are essential for ethics and risk assessment. Some of the big questions that AI professionals face are:

• Dissimilarity

• Artificial foolishness

• Humanity

• Security

• Polarization robots

• Singularity

• Bad algorithms

Dissimilarity

AI is predicting to enrich the economic system significantly in the future. Many companies still follow an hourly wage system today. Yet, as AI automates the task of the business, the number of employees disappear rapidly, which means that the income generated is distributed among fewer people, which increases the wealth gap. For example, the three largest companies in Detroit and Silicon Valley had roughly the same sales in 2014, but the number of employees in Silicon Valley was ten times less. The question, therefore, arises of knowing how to structure a fair economy after work.

AI foolishness

Human and machine intelligence comes from learning. In AI, when a system is underneath training, they learn to detect correct patterns conferring to their input and act on them. Then it goes to another testing stage and is tested with more examples to see how it does. As the training phase cannot cover all options of the real world, it can manipulate in many ways, which brings us an additional question, how can we defend the systems from making such mistakes?

Humanity

Artificial intelligence is advancing in terms of modeling conversations and human relationships. This milestone will lead to more human-machine interaction, be it in sales or customer service. Humans have limited attention spans, and robots can spend virtually unlimited resources, building relationships,  which led us to a fair question: How will machines affect human behavior and interaction?

Safety

Advances in technology make it powerful enough to be used for malicious activity. It can use to exploit the vulnerability of AI systems. As these technologies get smarter, they also affect the nature of threats, making them seem more random, more challenging to detect, to identify and remediate vulnerabilities effectively, and to adapt to organizations and environments. Will make cybersecurity more vital as the system will be several orders of magnitude more efficient and faster. Brings us to an additional question: how do we want to protect the AI ​​from adversaries?

 Also read: How AI will Dominate the Technology

Polarizing robot

An AI that is capable of speed and skill; however, it is tough to trust that it is fair and neutral. For example, Google is one of the leading providers of AI, but sometimes things go wrong with Google Photos, which relies on AI to identify people, scenes, and objects. Happens when the camera has missed the mark for racial sensitivity or made other similar mistakes. Humans themselves are biased and critical, and when we create AI systems, they can be imperfect. The next question arises: How do you eliminate AI prejudices?

Singularity

Today humans dominate the food chain, not because of sharp teeth or muscles, but because of intelligence and ingenuity. In the years to come, AI will be faster, smarter, and more powerful. Also, they can move and defend themselves freely, which brings us to a severe additional question: if one day AI will have the same advantage over humans as it does the food chain, how do we keep control of the system?

Bad algorithms

The first threat to Artificial Intelligence may not be adversaries, but the system could potentially backfire on humans. But doesn’t mean the AI ​​tragedies in Hollywood movies. He could grant a wish like a ghost, but with terrible unintended consequences.  And could be due to an absence of understanding of the context in which the requests made.

Conclusion

AI has enormous potential, but people should keep in mind that this is only for our improvement. You have to remember the importance of technology and implement it for the benefit of humanity.

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