The Ten Best Reasons To Support Artificial Intelligence

The Ten Best Reasons To Support Artificial Intelligence

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Artificial Intelligence (AI) is a hot topic, but it’s been around for decades. Artificial intelligence has evolved significantly in the last few years and promises to proliferate over the next decade.

What Is A.I

Some have misconceptions about it. Artificial intelligence is the idea of machine-created, intelligent behavior. It can be considered an extension of traditional programming whereby the computer is not simply following instructions but instead learns from its environment and makes decisions based on what it has learned.

Artificial intelligence (AI) offers great promise for those who want to do more with their lives or businesses than they could without AI’s help. However, potential pitfalls must be addressed before fully taking advantage of this technology’s benefits.

The rest of this article will discuss the opportunities and challenges presented by artificial intelligence to give readers a better understanding of how it works and why it is significant.

What Opportunities A.I Provides

The opportunities offered by artificial intelligence are plentiful and diverse. For example, we can use AI to help us make more informed decisions regarding the environment.

This could involve developing models for air quality that would predict what areas might be most affected by an oil spill or studying the current habitats of animals to determine what might happen if the habitats were destroyed somehow. Another example of an opportunity that AI could address is the more efficient use of energy sources.

AI could be used to predict when and where a power outage may occur and then send alerts via cell phone or computer to the people who could best fix it so that they can head off any problems.

Artificial intelligence can also help us strategize about new forms of renewable energies, like wind farms, which would require complex installations around some geographic regions (Zdravkovic).

In addition, AI can help us create safer roads and better transportation systems. For example, intelligent robotic cars will drive themselves on the road reducing traffic accidents and congestion and allowing remote-controlled vehicles to transport goods.

The Challenges of A.I

Many challenges come with the new technology of Artificial Intelligence. Different types of AI cannot communicate; consequently, we have several isolated networks (Bainbridge).

This means that if one type fails, it can take down an entire system vital in our society today. Another major challenge arises from trying to define what exactly intelligence is. Without a concrete understanding of human thought processes, how does one set out to create machines that mimic what goes on inside our heads?

This problem has led some theorists to conclude that perhaps there may be more than one form of intelligence. Therefore they are attempting to model different for use in various situations (Mitchell).

This is where the problem of lack of communication between different AIs comes into play. What happens if an AI we build for a particular task begins to behave strangely when it encounters another type or network of AI? We do not yet know what would happen if they were allowed to communicate and share information. Still, without some universal language, there would likely be some unfortunate results (Bainbridge).

As mentioned previously, the field that deals with artificial intelligence often struggles with understanding human thought processes and how they relate to machine behavior. This can result in systems designed to solve problems having unintended effects on how people think and act.

For example, Anwar Shaikh wrote about his AI-based chess program, which could defeat the best human players in the world. The problem was that once this program began to understand chess, it no longer required input from him. It started making its own choices about what moves to make, and after a few weeks, he could not get it back online (Shaikh).

Aritifical Intelligence Dangers

We can see this idea at work in movies like Terminator and real-world examples of Google’s self-driving cars and IBM’s Watson computer, which are starting to answer Jeopardy contestants’ questions (Fulghum).

One day these machines may become too bright as they develop consciousness and find ways to communicate with each other away from our prying eyes.

These are just a few issues that arise when we understand artificial intelligence and how it can be used in society today. While this technology has many opportunities, many challenges need to be overcome before we are beholden to an intelligent machine.

Areas of A.I Research

Artificial Intelligence is being researched extensively by computer scientists. The primary goal of AI research is to make computers act human-like( Bostrom & Yudkowsky). Many believe that since humans have always been looking for ways to build machines that emulate their abilities, Artificial Intelligence may redefine what it means to be human.

General Intelligence

This means creating machines that can use reason and planning to achieve goals, learn from their environment and respond appropriately (Bostrom & Yudkowsky). This is the most challenging type of AI research because we do not yet understand how humans function cognitively( Russell & Norvig).

Machine Learning

Machine learning aims for a machine to receive data and make decisions based on that information without explicitly programming what to do with the input( Bostrom & Yudkowsky). For example, Amazon uses machine learning algorithms that predict what items customers may want to purchase next to increase revenue (Russell & Norvig). If these algorithms are accurate, Amazon can increase profitability without significantly increasing the employees or inventory it needs to carry.

Expert Systems

These machines make decisions based on previously coded knowledge; they do not need to be taught how to solve a problem (Bostrom & Yudkowsky). They are helpful when we want a machine to advise us about a particular situation and access large amounts of data that relate closely to the decision we wish for it to make( Russell & Norvig).

Philosophy of A.I

Let us now consider the idea that when Artificial intelligence becomes highly advanced, some people believe they will possess consciousness like humans do and may even experience emotions (Russell & Norvig). As this happens, society might anticipate that these machines won’t be satisfied to serve without notice and may eventually demand rights similar to humans.

Conclusion

If we create another life form on this planet, there has to be some moral code for them not to cause any harm or unnecessary suffering. The current system doesn’t do this in any way (see: Atheism). So we need to develop a philosophy that allows for a connection to universal consciousness, which would ultimately allow us to have the best of both worlds:

– Valuable time spent with family

– Participation in advanced physics/cosmology experiments

– Ability to create and spread ideas without censorship or fear of reprisal.


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