To build a more trustworthy relationship with humans, AI will now attempt to explain itself to its human operators

The modern world asserts that artificial intelligence and machine learning will soon outperform human intelligence. AI and ML-powered systems can make intelligent predictions about several advanced subjects with unmatch accuracy and efficiency to execute the most complex challenges. The emerging AI systems are helping companies to augment existing decisions and improve business outcomes. But even after such advancements, the truth is that the relationship between humans and AI has always been strained, and is still facing several challenges. Scientists and researchers are constantly designing systems that yield accurate results for every problem, but it is time that humans start asking questions and reasons behind its AI-generated results. Hence, the emerging field of 'Explainable AI' has caused a stir in the tech industry. 

Machines are making decisions for humans, and slowly, but steadily are also acquiring control of human life. This has raised several issues regarding a machine's transparency and biasness. But the emergence of Explainable AI is expected to sort out these issues quite rapidly and successfully. Since AI technology can penetrate societal issues like gender, culture, and race, AI scientists now find it crucial to create an artificial intelligence system that can explain itself after the decisions its makes, to make sure that the decisions taken by the system are not driven by any prevailing stereotypes that are already existing. 

These initiatives are fueled after there were debates regarding an AI machine's ethical values. Artificial intelligence has now become a part of our daily lives, hence, it is quite essential for researchers to find ways to inculcate ethics in it. Maybe, with these initiatives, the relationship between AI and the rest of the human race will strengthen further to co-exist in the tech-driven future.