From 1927 to 2019, more than 100 movies about artificial intelligence have been produced worldwide. Although some scenes describe as positive, and some are negative.

The film industry has embedded scenes in our collective imagination that show how more intelligent machines will take over the world and enslave or enslave humanity as a whole.

The ability of AI to outperform human intelligence foreshadows a bleak future for humanity.

Recently, countries worldwide have entered the race to develop artificial intelligence, with 20 EU countries announcing their AI development strategies in both R & R&D and academia. Artificial intelligence is on fire. But, as we race to embrace AI technology, what ethical and moral issues of artificial intelligence practical considerations should we consider?

What threats and obligations should innovators keep in mind as we work together to revolutionize business areas through machine intelligence?

Yes, AI bots will be able to carry out processes parallel to human intelligence, and they already are. Universities, commercial companies, and governments are working hard to create artificial intelligence that can replicate human cognitive processes, including learning, problem-solving, planning, and speech recognition.

Let’s look at some ethical and moral issues of artificial intelligence in the AI ​​space. To be clear, the purpose of this post is not to persuade you into anything but to highlight some of the most critical concerns, both big and small.

While Cambria supports AI and robotics technology, we are not ethics experts and will leave it up to you to decide where you stand. A robot vacuum is one thing, but ethical concerns about AI in medicine, law enforcement, military defense, data privacy, quantum computing, and other fields are essential and must be dealt with.

The 5 Most Ethical and Moral Issues of Artificial Intelligence

1. Job Insecurity and Wealth Inequality

One of the main fears people have about AI is the loss of jobs in the future. Should we try to fully develop and integrate AI into society if it means many people will lose their jobs and, potentially, their livelihood opportunities?

According to a new estimate from McKinsey Global Institute, AI-powered robots will displace about 800 million people by 2030. Some say that if robots take over their profession, they may be of little value to humans and may be responsible for generating AI.

Better employment that focuses on unique human abilities such as higher cognitive functions, analysis, and synthesis.

Wealth inequality is an issue related to job losses. Consider that most modern economic systems require workers to produce a product or service in exchange for an hourly wage.

But what if we bring artificial intelligence (AI) into the economic flux? Robots are not paid on an hourly basis, and therefore do not pay taxes. They can deliver 100 percent while maintaining a modest constant cost to operate and maintain relevance. 

This allows CEOs and stakeholders to keep more of the firm’s earnings created by their AI workforce, increasing wealth inequality.

2. AI Is Unspecific — What If It Makes a Mistake?

AI is not immune to making mistakes, and it takes time for machine learning to become functional. AIs can perform well if they are adequately trained and given good data. However, AI can be dangerous if we give wrong data to AI or make mistakes in internal programming. Microsoft’s AI chatbot Tay was introduced on Twitter in 2016.

AI systems, like humans, make mistakes. But do they make more or fewer mistakes than humans? How many lives have been lost as a result of bad decisions? Is it better or worse when an AI makes the same error?

3. Should Artificial Intelligence Systems be Allowed to End?

Jay Tuck describes AI systems as software that writes its updates and renews itself in this TEDx talk. This means that, as programmed, the machine does not do what we want it to do — it does what it learns to do. 

Jay describes an incident involving a robot named Talon. Its computerized gun jammed after an explosion and opened fire uncontrollably, killing nine people and injuring 14.

Predator drones like the General Atomics MQ-1 Predator have been around for over a decade. Although these remotely piloted aircraft can fire missiles, US law requires humans to make actual kill decisions. 

Due to their importance in aerial military defence, we must examine their purpose and application in greater detail.

To stop killer robots without human interference, the Campaign to Stop Killer Robots promotes the prohibition of fully autonomous weapons. In order to comply with the Laws of War, fully autonomous weapons would lack human judgement.

4. Suspicious AI’s

If intelligent machines can make mistakes, it is possible that an AI could be rogue or that its activities in the pursuit of seemingly innocent targets could lead to unexpected results.

Experts now agree that current AI technology is incapable of achieving this problematic feat of self-awareness, But AI supercomputers of the future may be capable.

In the second scenario, an AI is being assigned to study the virus’s genetic structure to develop a vaccine to destroy it. After doing extensive calculations, the AI devised a way to weaponize the virus instead of making it a vaccine.

5. Maintaining the Singularity and Control of AI

Will AI’s evolve to the point where they can outperform humans? 

What if they become more intelligent than humans and try to take over our lives? 

Will computers eliminate the need for humans? 

It’s been predicted that the human era will come to an end around 2030, depending on technological advancement.

AI Causing Human Extinction — It’s easy to see why many people are concerned about the progress of AI.

6. AI Bias

Face and voice recognition systems have become increasingly AI-enabled, with some of these systems having real-world business implications and affecting people directly. These systems are susceptible to human biases and errors. There may be biases in the data used to train the AI ​​system.

Microsoft and IBM’s facial recognition algorithms are prone to gender bias. These AI systems correctly identified the gender of white men over men of darker color.

Similarly, Amazon.com’s decision to stop using AI for hiring and recruiting is another example of AI inequality; The algorithm gave preference to male candidates over female candidates. This was due to the fact that Amazon’s system was trained using data collected over a ten-year period, most of which came from male candidates.

Is it possible for AI to develop bias? It is difficult to answer this. One could argue that, unlike humans, intelligent machines do not have a moral compass and a set of principles.

However, even our moral compass and principles don’t always serve humanity as a whole, so how can we make sure AI agents don’t share the flaws of their creators?

If AIs develop a bias towards or against race, gender, religion or ethnicity, it will primarily be because of how they were taught and trained. As a result, when deciding which data to use in AI research, researchers must consider bias.

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Yes, the prospect of artificial intelligence systems that outperform human intelligence is frightening. Furthermore, the Ethical and Moral Issues of Artificial Intelligence are also complex to deal with.

Keeping these concerns in mind will be essential for analyzing the broader societal issues that are at point.

Various theories and frameworks exist to assess whether artificial intelligence is beneficial or harmful.

Maintaining our knowledge and staying informed is essential for making informed decisions about our future.