Bias is one of the biggest documented weaknesses of humans. This can be seen from implicit tests that show that we are not even aware of some of our biases. Although we may say that these biases are part of human nature, experiments have shown that they can affect our judgments and outcomes. Over the past few years, there has been an argument on whether human biases can be solved by artificial intelligence or whether these biases can make their way into AI systems and cause harm. This comes at a time when AI is being deployed by many companies across different industries. The industries need to be aware of the risks of biases ad how AI can be affected by it.

Artificial Intelligence (AI) has achieved a lot since it came into existence. However, the main objective has always been to get high-level AI systems that mimic humans in most of the things they do. In essence, the primary objective of AI systems is to function independently, like humans. However, that AI is conscious is no longer a matter of if but when. This was envisioned by Norbert Wiener, the renowned father of cybernetics in his book The Human Use of Human Beings, back in 1950. Although Norbert lived at a time when vacuum tubes were the building blocks of computers that were few at a time, he foresaw how automation would change the society for the better.

For decades, artificial intelligence has been seeking to mimic humans and nature. The main goal here is to create systems that have the ability to make decisions like humans. As such, most AI systems are brain-inspired, and scientists behind it have always attempted to mimic neural networks, a term borrowed from biology. With computers now able to think like humans, computer scientists are now focused on a different goal as they seek to revise artificial intelligence by transitioning it into smarter and more efficient systems. Initially, most of the research was devoted to training AI through machine learning to enable algorithms to learn how to recognize objects and how to perform basic tasks. Now that this has been achieved, these techniques are being deployed to create more advanced systems that can work autonomously without human intervention.