Red Hat CEO says much work needs to be done on AI regulation front

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It is a question that those in the regulatory environment or those involved in the development of an ethical artificial intelligence (AI) initiative will need to consider if they have not already done so: Should AI be regulated? ?

It’s been a burning question, especially since last week when Sam Altman, CEO of Open AI, according to CNN reports who made headlines Mister Chatgpt went to Washington, urged “Lawmakers to regulate artificial intelligence during a Senate panel hearing on Tuesday described the technology’s current boom as a potential ‘printing press moment,’ but one that needed safeguards.”

In Altman’s opening remarks, he noted that “regulatory intervention by governments will be critical to mitigate the risks of increasingly powerful models.”

asked by IT World Canada today at red hat summit In Boston for his thoughts on Altman’s suggestion, the company’s CEO Matt Hicks agreed that regulations may need to come into the fold in one form or another, but stopped short of endorsing them.

This, Hicks suggests, is somewhat premature given the fact that there are challenges that need to be resolved with respect to AI regulatory issues.

“I think there’s too much fragmentation at the moment,” he said. “Even with the privacy controls, we see things done differently at the state level, at the country level.”

There is a clear need to use AI responsibly, he said, but when it comes to the best way to regulate it, “I’m not sure at this point.”

They’re sure there’s no stopping the AI ​​juggernaut. one in blog post Released yesterday, Hicks wrote, “AI has reached a tipping point and we cannot ignore it. Instead, we need to decide how, where and why we will use it and decide how to move our organizations forward.” This week, we explored just that at the Red Hat Summit keynote.

“From where I sit, this is one of the most exciting moments in technology. Advancements that seemed like science fiction mere decades ago are now commonplace. AI has moved from the obscurity of academia to the ubiquity of ChatGPT It has also moved from a tool that was accessible only to a few to a movement that is now driven and used by the masses. By combining the impact and collaborative nature of open source with the potential of AI, we We’ll be able to solve the world’s problems more effectively and faster than we ever dreamed possible.

Hicks continued, “We are only limited by our creativity. The simple element of AI is that it doesn’t need to be a one-size-fits-all thing. Each of us needs to analyze how we can transform our businesses and our industries.” how to use it for change. While there may not be a one-size-fits-all solution, none of us can ignore AI as a driver of change. We have the time to embrace this moment and embrace the future. There is an opportunity to be a part of shaping.

AI is clearly important to the company, but so is edge computing, and today the company announced that it has extended the partnership abbis a Swiss multinational firm that specializes in electrification and automation that was formally launched last year.

In a joint statement, Francis Chow, vice president and general manager of in-vehicle operating systems and edge at Red Hat, and Bernhard Aschermann, chief technology officer (CTO) of process automation at ABB, said abb ability adgenius available now on red hat openshift And red hat device edge“To Extend Operational Sustainability for Enterprise Use Cases in Edge and Hybrid-Cloud Environments.”

both written in one blog That “a paradigm shift is occurring in the industrial sector as manufacturers embrace open source technologies to support agile operational technology (OT) platform architectures and gain real-time data insights at the edge.

“As organizations move additional computing power to the plant floor, they are also realizing that the practices put forth by IT organizations over the past decade are just as relevant in the OT context.”

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