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Calls for AI & GPT-4 “Pause” Are Unrealistic

By Betsy Burton

 

Calls for AI & GPT-4 “Pause” Are Unrealistic

Within the past few weeks there have been several within the technology industry who have called for a pause on the development of Artificial Intelligence (AI) systems, and specifically on the development of solutions using GPT-4, for at least six months so that organizations can catch up on training. 

A letter calling for this pause was signed by over 1000 signatories, including the likes of Elon Musk, Steve Wozniak, Stability AI’s CEO Emad Mostaque, and AI-heavy weights Yoshua Bengio and Stuart Russell. Italy is making moves to ban ChatGPT related technologies.

There are clearly a number of intellectual property, economic, ethical and safety issues with unfettered artificial intelligence systems, that our legal and regulatory systems have not caught up with. In fact, there are reports of these systems being blamed for harming humans.

However, a pause on conversational AI systems is unrealistic. 

Why a “Pause”? 

We have been predicting the evolution of AI systems for years. In fact, I wrote my senior thesis on AI back in 1985.

Aragon Research has been writing about AI, generative AI, computer vision and knowledge-based systems for years; exploring both the strengths and challenges.

Despite knowing that these systems are evolving, our governments, legal systems and organizations have not prepared adequately in terms of training people, creating regulatory management or defining laws around artificial intelligence systems. 

I understand and sympathize with the concept of a pause. But it’s completely unrealistic.

Why We Can’t Pause

The biggest reason that a pause is unrealistic is because there’s no way to manage or enforce a pause. Do we seriously believe that if the United States and Europe call for a pause, that China, Russia, North Korea or any other friendly or unfriendly country is going to just pause their research and deployments? Furthermore, our own defense and security agencies are not going to take a pause.

Further, what right does a democratic government have to tell independent private sector companies that they need to stifle innovation by pausing their research and development? There are clearly many potential benefits from AI-enabled technologies; greater use of agriculture, education and information to the masses, more accurate and less invasive medical systems and intelligent defense and security systems, to name a few.

Last, a six month or year “pause” is just kicking the can down the road. The issues and challenges with artificial intelligence are real. Rather than just pausing or delaying the need to do something, regulators, businesses, educators, economists and individuals must take action now…..not 6 months or longer down the road.

Need Realistic Solutions

Rather than focus on a pause, these business and technology luminaries should be spending their time working with governments to address the opportunities and challenges with AI-enabled technologies. 

These are just a few of the questions, but these are the types of issues we should be addressing. Now, not 6 months or a year down the road.

Bottom Line

We’ve known AI-enabled systems have been evolving for years. There are scientific papers, prototypes, scenario studies and, even, fiction, that have been pointing to this evolution; we all remember Hal of 2001 Space Odyssey. We didn’t pay attention to these predictions for the past 35+ years, what would 6 months give us?

There are great opportunities and challenges with AI, as with any highly significant new technology. But like the industrial age, printing press, space race and age of automation, it is unrealistic to think a “pause” or a “ban” will stop this evolution. 

Invest now in real management, regulatory, governance, policies and laws that can help promote the value of AI-enabled systems, like ChatGPT, and reduce the risks and vulnerabilities.


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This blog is part of the Business Transformation blog series by Aragon Research’s VP of Research, Betsy Burton.

Missed the previous installments? Catch up here:

Blog 20: What Do You Do About Low-Code/No-Code Citizen Developers?

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Blog 21: Practice Integration and Inclusion Not Just Acceptance

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Blog 22: Define Positive Performance Metrics for the New Year

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Blog 23: Calling All iPaaS and tPaaS Providers: It’s Globe Time

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Blog 24: Business Transformation Lessons Learned from Salesforce

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Blog 25: Is the Use of “Digital” Redundant Yet?

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Blog 26: Idiocracy: A Prophetic View of an AI-driven Future

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Blog 27: Predicting The Future of Metaverse

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Blog 28: More Than Ever, It’s About Your Business Ecosystem

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Blog 29: Are You Overusing Your Digital Labor?

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Blog 30: You Need An AI-Knowledgeable Digital Ethicist, Now

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Blog 31: What Investments Does Business Transformation Require?

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Blog 32: Big Picture: What Is Up With Salesforce?

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Blog 33: New Research: Four Trends You Can’t Miss in 2023

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Blog 34: You Must Know the Difference between Business Automation and Business Transformation

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Blog 35: Case Study: Business Transformation Hits a Roadblock, What do You Do?

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Blog 36: What Do You Do When Management Won’t Listen?

Stay tuned! We publish a new blog every week.

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