Ethical AI Has Been Seriously Doomed to Hell.

Companies Awful Truth Of Printing Money. Are We Failing At Pushing Ethical AI into use?

Popularly termed Industry 4.0, the AI revolution is an age-long concept existing for more than a decade now. Its use case is as expansive and transformative as ever. This is why Big tech Companies leap at the smallest of the chances to integrate this buzzword into their systems and services.

It behooves us, AI Engineers, Data Scientists, data analysts to shoulder the responsibility of the impacts produced by AI-driven processes. On a large scale, it consequently should be foreseen by the organization and the legal team, but is ethical AI pushed out of the picture on purpose? Or not? Let’s find out!

Artificial intelligence has limitless potential and the world around us is on an ‘auto-pilot’ mode to tap the same. In direct words, ethical AI is about responsible use of AI that results in fair impact not only for the users, but broader society including suppliers, customers, stakeholders. It considers privacy implications of data collection and storage as well.

Ethical AI strictly is people-centric where biased mitigation is one of the goals. But some companies choose an otherwise approach which leads to algorithmic or AI bias. Growth in AI systems scaled and embedded is accelerated at a steeper rate than current AI governance frameworks.

The ubiquity of AI in everyday life was further pushed by Covid19. All this amounted to less actualization on the governance and regulations part.

There is a constant loss of grip over common practices, principles, and frameworks in AI. Legal systems to aggressively monitor and manage the AI risk for customers and businesses alike are missing out from the picture lately.

Even though industry standards have blurred significantly due to a plethora of AI use cases. It should be imperative to IT leaders that they strictly establish and follow the guidelines during product architecture and its development…

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