Calls to pause AI development miss the point

AI Basics

Innovation transforms the economy and changes the reality of everyday life.

A sign of a healthy and competitive market is that the door is open to innovation and development, not closed to progress.

that’s why recent calls To slow down Or even freeze the development of generative artificial intelligence (AI) models, which is quite surprising.

in the meantime more than this An open-source nonprofit, as its name suggests, OpenAI provides access to cutting-edge generative AI products through its APIs, including both closed-source ChatGPT and open-source Whisper models. . This will make innovative AI capabilities accessible to a new generation of developers across industries.

Emily Glasberg SandsHead of Information and Data Science at Stripe, Karen Webster, CEO of PYMNTS said: Stripe alone currently has 14 GPT-4 prototypes in the works, all leveraging OpenAI technology.

OpenAI quick scan my site Many big companies are already Utilization of tools Address a wide range of use cases that enhance both consumer facing and back office roles and responsibilities.

Slowing technological progress goes against the innovation thesis

“Easy to use and really solves a lot of problems. Great value for everyone.” Said Sebastian Siemiatkowski, co-founder and CEO of Klarna, in a release announcing his company’s new ChatGPT plugin.

As report According to PYMNTS, JP Morgan CEO Jamie Dimon went so far as to call AI a “must have” in his annual shareholder letter, stating that “AI is running across payment processing and money transfer systems around the world.” made it clear.

and while the bank has Restrict use of global staff Regarding OpenAI’s proprietary AI chatbot, Dimon said in the letter that JP Morgan “currently has over 300 AI use cases in production,” emphasizing the importance of integrating new technologies. doing.

So what happens when legitimate researchers and their investors really put AI development on hold?

The most likely scenario is for illegal researchers and profit-seeking companies to fill the gap and improve the speed of AI for their own benefit, with few guardrails around dataset integrity. Scenario.

read more: Generative AI Tools Center of New Regulation-Innovation Tug of War

Role of regulation

“Technology moves much faster than regulators.” Saule T. Omarovaprofessor of law at Cornell University, told PYMNTS in a discussion Last fall, and the economic realities of the latest AI advances and concerns about what AI technology can do, have blurred the true questions of how AI is used and who makes the decisions. It is

Large Language Models (LLM), the engine of chat-based AI interfaces, are built primarily for persuasion, leveraging access to vast amounts of personal data to do so.

That access is where regulators need to scrutinize. This is because it affects both manipulative behavioral advertising and the dangerous evolution of online fraud that has always existed around the darker edges of the internet.

As report According to PYMNTs, Italy has become the first Western country to ban the Microsoft-backed OpenAI ChatGPT-4 chatbot. That’s because he claimed he was “absent” after the country’s data protection authority announced an investigation into alleged violations of the General Data Protection Regulation (GDPR) privacy regulation by AI solutions. It justifies the massive data collection and storage of personal information used to “train” GPT-4 chatbots.

“Considering both the competitive landscape and the security implications of large-scale models like GPT-4, this report covers the architecture (including model size), hardware, training computation, dataset construction, training It does not contain details on how, etc.” OpenAI I have written In that ChatGPT white paper.

Italy’s move has prompted other European privacy regulators to take a closer look at ChatGPT and other AI tools.

How regulation protects consumers while ensuring a non-intrusive approach to growth and innovation enacts guardrails on the provenance of data used in LLMs, allowing AI models to interact with text, images and even voice applications. to clarify when to generate synthetic content that contains , and flag its source.

As Karen Webster of PYMNTS wrote at the beginning of the year, AI’s greatest potential lies in creating the knowledge base needed to equip employees—any worker in any industry—with the tools to deliver a consistent, high-quality level of service. At speed and at scale.

New jobs are directly enabled by technology. Over 60% of the work done in 2018 wasn’t even invented in 1940. MIT paper.

This is because the trajectory of job creation mirrors the trajectory of innovation.

Even if automation increasingly removes human labor from certain tasks, technological change inherently leads to new kinds of work.

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