Ethical considerations surrounding the use of biased algorithms in cybersecurity include fairness and transparency. To mitigate bias in artificial intelligence algorithms, it is essential to ensure that training data is diverse and representative, and to use techniques such as contradictory training or impartiality restrictions. The debate on the ethical implications of applying AI to business processes is legitimate and important. We've all experienced the benefits and unintended consequences of AI in our daily lives. The idea of applying this powerful technology to the protection of our personal information and our corporate data should make us think.
However, there are difficulties and moral issues that must be considered when applying artificial intelligence and machine learning to cyber protection. Organizations must prioritize transparency, fairness and accountability when using artificial intelligence and machine learning technology. In the future, it will be crucial for companies to overcome these obstacles, promote collaboration between machines and humans, and constantly adapt to the changing threat landscape. This paper takes a closer look at why companies should take advantage of AI as a first line of defense and why the use of AI is not only ethical but also morally imperative.
