5 Artificial intelligence ethics you should consider
Posted on Dec 30, 2022 at 08:12 PM
With the evolution of all spheres of life, Artificial intelligence has reached almost everything. Although Artificial intelligence has significant benefits for everyone, it has some adverse effects that affect our lives, so the so-called Artificial intelligence ethics system has been found.
Nowadays, companies' ability to collect, analyse and process data has increased across many data analysis tools and tools that use artificial intelligence. Also, the use of data has emerged to predict what could happen in the future, trying to choose a more consistent and less dangerous vision or decision.
We will highlight in this article the most important ethics and the most famous problems faced by companies or users when working according to Artificial intelligence ethics.
But let us now, and before delving into the article's content, take a quick look at the concepts of AI ethics and ethical AI and the difference between them.
What is the ethics of artificial intelligence?
Artificial Intelligence ethics is the good and fair use of artificial intelligence in personal and professional life, away from piracy and theft; they explain how modern technology or technology and industrial espionage are used so that no one falls victim to immoral actions.
Artificial intelligence ethics also means how to use data, what to use, what risks may occur for future data, and most importantly, how to prevent people from accessing sensitive data; such data may include much private information such as name, bank account, etc.
The concepts of Artificial ethical intelligence often need clarification but must be differentiated.
Artificial intelligence is a framework that ensures the creation or construction of an ethical artificial work system. For example, Amazon cancelled an industrial intelligence program used for employment because it tended to employ more males than females to human equality principles, then launched a new employment system that respects human ethics.
Artificial Intelligence ethics, as we mentioned above, are the correct behaviour or use, such as defining principles or laws for the benefit of Artificial Intelligence by corporate management.
What are the most famous Artificial Intelligence problems?
The problems or challenges of AI have increased significantly today, and companies are prioritising their plans to solve these problems. We have created a list of various reports compiled by the world's best industrial intelligence companies (such as Microsoft and Google) for the most famous AI problems:
- Unemployment and the dismissal of many workers due to the entry of development and artificial intelligence (AI) into most occupations and its close association with different life jobs. Many studies have indicated that unemployment will peak in the next 10 years.
- Inability to provide adequate digital data protection so as not to be penetrated by hackers.
- Some synthetic systems become racist over time, as with Amazon (by preparing them for the employment system above).
- The artificial system can sometimes suffer from operating errors that are catastrophic for companies.
- Still waiting to identify rights to robots globally.
- In the future, no one knows whether an artificial intelligence machine or robots may control human life!
What are the essential principles of Artificial Intelligence ethics?
It is difficult to overcome the challenges of AI that may arise in the future, but some practices or techniques can help you organise and confront ethical problems, namely:
- Transparency:
The concept of transparency is a critical element of artificial intelligence ethics, as the responsibility for building transparent, ethical synthetic programs and systems lies entirely with programmers and developers.
This term refers to the need to explain quite explicitly everything about the artificial system, such as the data it collects about users and how it uses it, allowing people to modify their information and even delete it whenever they want. In addition, a list should be prepared that mimics the different results that may occur and explain how these systems will help solve new problems.
- Ensuring Human Presence at Work:
It should be ensured that innovative synthetic systems do not make an entire decision, i.e., the decision-making or review process involves people somehow.
Always remember that decision-making is critical in applying the AI system and ethics as it determines the possible problems.
- Accuracy and comprehensiveness:
One of the essential elements of artificial intelligence ethics is that the recommendation or official discourse of the industrial system must contain factual and accurate information and that all digital data within the artificial intelligence must be accurate, accurate and comprehensive, with the possibility to change and repair false data, finally, the ethical industrial system must include specific ways of sharing and carefully preserving information to keep it accurate.
In general, the accuracy of data with Artificial intelligence ethics is divided into two parts; Part focuses on the authenticity of the information, while the other focuses on the level of use of such information.
- Ability to counter cyberattacks:
When an artificial intelligence system is built, it is self-evident to be fortified to counter various cyberattacks or digital attacks; cyberattacks can happen by accident, often intended by hackers seeking to steal information and users' data.
A slight manipulation of an element can also lead to severe consequences. For example, road traffic lights may be discoloured, making self-driving cars flunky and confused, causing accidents and threats to public human safety.
Remember, the manual functioning of AI systems should always be maintained to reduce the problems that occur when exposed to cyberattacks.
- Legal accountability:
Ethical AI-related legal accountability differs from legal accountability in other cases. There are no established laws on AI as customary laws in different countries. The most obvious example is the punishment of a person by all countries, while some do not penalise cyber burglaries.
It should also be checked whether or not newly created AI systems are being used ethically, and with significant developments, it has become more difficult and complex.
These were the best and most important practices to apply in terms of Artificial intelligence ethics. If you need more valuable information, do not hesitate to attend Artificial Intelligence for Business and Organisations training in Dubai to practise Artificial intelligence ethics properly.
In conclusion, the common question remains whether AI is good or bad. When we think very well about this question, we find that his answer depends on how we deal with AI. Is it moral or not?!
