Executive Chairman, and CEO, ATScale: AI Needs A Soul

In this video interview, Chris Lynch, Executive Chairman and CEO, ATScale, talks to Robert Lutton, Vice President, Sandhill Consultants, about his views on the role AI machine learning is playing in the enterprise and how enterprises can leverage data and automation of AI and machine learning for the future.

Lynch points toward the industrial revolution and its impact on the world. AI and machine learning are going to have the same impact and revolution on the world.

He explains that humans are at a stage where they can cure cancer, predict different economic events and world events. When we can see them coming, we can address them. It's a chance for humans to change the world in ways that we've never seen.

Lynch is often asked, "Why AI? Why Data?" And his reply to all this is simple, "What else is there?" He thinks this is the only place to be, and if you want to change the world, you have to figure out how to leverage data to do it. That's what happened in 2020, 2021, and will happen beyond. AI, machine learning is a wave of the future.

Talking about AI ethics, Lynch points out that the government is way behind the regulation and technology. The reason for all these collisions is uneducated politicians trying to wrap their heads around the advent of data. Unfortunately, people are threatened by things that they don't understand. If AI is going to deliver on its promises, Lynch believes it has to have a soul. It has to be powered by people and controlled by people. It is only as good or as bad as people.

It is essential to remember that these models are built by people, and people do have biases. Lynch says that we can't lose sight of the fact that computer data robots are driven and fueled by human beings at the end of the day. So while there is work being done on building models without biases, the person that built it, a data scientist, could have had a bias while creating it. Can we use AI to police AI?

Lynch believes that a lot of good work is being done to understand and built trust and transparency. These things are vital when data is the lifeblood of a company and a society.