You are probably familiar with the character of Doctor Octopus in the movie Spider-Man. Talking about artificial intelligence technology means the ideal move that the doctor made to overcome his limitations with the device he made. In this article, we want to check what should we do if the control chip of Dr. Octopus’ device breaks and turns him into a giant? Whose responsibility is the result of such an event, should it be allowed to produce such a thing or not? This is where Responsible AI comes to our aid. In this article, we want to see whether artificial intelligence rules still have a special guardian.

What are artificial intelligence rights?

In the opinion of many people, artificial intelligence is an ideal and forward movement in a world where with the help of technology, there are no limits on the earth. (See this article to learn about the uses of artificial intelligence in 2022.) There are other people who look at artificial intelligence less positively. Many points such as wrong decisions or taking power from workers and the lack of privacy and the discussion of data security are among the things that regularly warn in the thinking of this section. This is where the lack of law appears. Artificial intelligence laws are actually a way to answer these issues and make companies using this technology responsible.

What is artificial intelligence and why does it need law?

I think now is the time to centrally answer this question (what is artificial intelligence that needs law and responsibility?)

When we talk about AI, we mean a model of machine learning that is implemented in various products. For example, unmanned vehicles must automatically recognize the route and possible challenges in it and make accurate decisions without human intervention. They receive and analyze the data obtained from various sensors, and many times they have to make an accurate decision in less than a few hundredths of a second.

The car recognizes that a certain object is blocking its movement, as a result: first, it must recognize what that object is, second, it must decide what reaction to show to continue on the path. Is the decision to stop or move left? What is the condition of the car behind in case of full braking and what is the result of moving to the right?

You have probably been convinced by now how complex and special this system is and it must have its own conditions and rules and regulations, otherwise their widespread use, especially in industries, will leave destructive effects on human society.

You can extend the same issue of the car to military weapons, public and private transportation, even technology gadgets and the most challenging topic of artificial intelligence, i.e. humanoid robot, to realize the huge gap in the story. Responsible AI or artificial intelligence laws have no purpose other than to make this science and its big world responsible.

What do we mean when we talk about Responsible AI?

Different societies have different definitions and different ways of interpreting and using the word law. Many of them help the growth and development of the land with the law of destruction.

Responsible AI is better to be formulated with democracy and ethics in mind and details such as how to evaluate data and how to evaluate, monitor and deploy artificial intelligence models in various platforms and products are added to it. In addition, it can determine who is responsible in the event of a disturbance or problem in people’s lives.

There are different interpretations of the rules of artificial intelligence, but the common goal of all of them is to achieve a fair result for human development along with an interpretable, moderate, fair, safe, secure and reliable system.

What is the purpose of writing artificial intelligence rules?

Still, after years of growth and development of this industry, no specific rules have been written for it. In the following, we will examine the possible goals that Responsible AI should pursue.

1. Help interpret artificial intelligence

The first point that was mentioned is interpretability. Actually, when we interpret a model of artificial intelligence, we intend to explain the reasons and how to choose or predict its choices. Imagine a device diagnosing you with cancer or rejecting your mortgage application. With any answer, you will naturally look for why. Of course, it should be kept in mind that some models are difficult to interpret and others are easier to interpret. Responsible AI can determine in what context to use interpretable models or where to use less interpretable models.

2. Moving towards fair artificial intelligence

The second goal is to write a law that institutionalizes fairness in artificial intelligence. We are talking about a system that receives, processes and draws conclusions based on all kinds of information. Such a system, with its power, can lose the aspect of fairness towards different categories of society and actually step on the path of discrimination.

In practice, the more predictable the used models are, the easier it is to measure moderation and fairness in them. So we need rules for artificial intelligence that help us measure moderation and fairness.

3. Safe artificial intelligence

Another issue is security. Security is one of the oldest challenges in the field of hardware and software, and it is not a strange topic for this field, but in these fields, it has been solved with techniques such as encryption and software tests, but there is no test and encryption in artificial intelligence.

In fact, we are facing a model that makes different decisions in different situations or has a process that, if it is disturbed, the decision-making is also disturbed or goes towards abnormality. Their concrete example is self-driving cars or robots that can cause damage such as death and destruction.

4. Quality in access to information

The last topic is the old and sweet discussion of data, which has already been published in many social networks or technology companies. In artificial intelligence, the quality and quantity of information obtained by the model is very important in decision making. In general, no model of artificial intelligence should be allowed to use personal information (medical or political conditions, etc.). Of course, many countries have announced their Responsible AI to companies and companies active in this field, but these laws are not general at all.

5. Mutual trust is the result of implementing the rules

Finally, by following the goals of Responsible AI, a result will be created, and that is the user’s trust in any product in which artificial intelligence is used. If this trust is not formed between the user and the service provider, it will not be useful. Building this trust requires a two-way effort that is formed after the rules of artificial intelligence are written.

What is the future of Responsible AI?

Currently, when it comes to artificial intelligence rules, it is expected that big companies will be required to comply with correct and fair rules. Big companies like Microsoft, Google and IBM have their own rules, but we cannot deny the contradiction in the legislation between them. This is while many small companies do not have any road map for developing specific rules.

A potential solution to this problem is to set uniform and general rules for all companies and oblige them to implement them. A clear example of them is the European Union’s ethical guidelines for artificial intelligence to be followed by companies that intend to operate in this part of the world. The use of Responsible AI ensures that all existing companies have the same conditions in different AI models, but the main question is, can they be trusted?

The report on the state of artificial intelligence and machine learning in 2020 was published from 374 companies that use artificial intelligence technology, which shows that: artificial intelligence is very important for 75% of them, but only 25% adhere to the rules of artificial intelligence and fairness Ethics are in it.

This report shows that the answer to the above question is (no). People should not and cannot trust the claimant companies. For instructions to be effective, they must be implemented. This means that any directive in this field becomes law. A law whose compliance is mandatory and a violation of which is punishable.

Where is Responsible AI now?

The path the world is currently on is time. Almost everyone has realized the importance of adopting Responsible AI and is trying to develop them. With the conditions created by the European Union, the first step has been taken to make artificial intelligence responsible. Big companies like Google, Apple, Microsoft, and Facebook also have the same request, so the global community now needs time to mature theories and formulate rules. The most important issue now is the time to form a global alliance to take responsibility for artificial intelligence.

What is your opinion? Will artificial intelligence take a peaceful path or will it move toward destruction like nuclear energy? Share your opinion with us.

Leave a Reply

Your email address will not be published. Required fields are marked *