WSJ : Tech Titans Look to Lobby Washington on AI—In Different Directions

Tech Titans Look to Lobby Washington on AI—In Different Directions
Elon Musk and Mark Zuckerberg will take center stage on Capitol Hill in debate over the future of AI

WASHINGTON—Titans of Silicon Valley are descending on Washington Wednesday to brief U.S. senators on artificial intelligence, in a meeting aimed at advancing nascent efforts to regulate the new technology.

The closed-door all-senators’ session, organized by Senate Majority Leader Chuck Schumer (D., N.Y.), will feature Elon Musk, Mark Zuckerberg, Bill Gates and more than a dozen other executives and civil-society leaders.

These tech bosses are already locked in a market-driven race to roll out sophisticated artificial-intelligence systems, especially generative tools that can quickly produce humanlike outputs. The Capitol Hill gathering gives them a chance to shape the priorities of lawmakers, some of whom are racing just as fast to place guardrails on AI development.

Wednesday also might be the first time Musk and Zuckerberg find themselves in the same room following their called-off cage match.

Assuming the tech leaders keep their fisticuffs in check, their previous comments suggest they will try to pull senators in different directions.

Here are where some of the key players stand:

Sam Altman: Regulate Us
Sam Altman, chief executive of OpenAI. PHOTO: DAVID PAUL MORRIS/BLOOMBERG NEWS

Altman is the chief executive of OpenAI, the company that kicked off an industry arms race last year when it launched the viral chatbot ChatGPT. He is among the tech leaders driven by pursuit of so-called artificial general intelligence, or AGI, a computer program that could match human reasoning.

Altman says his goal is to ensure AI benefits all of humanity, helping us become more productive and creative. He has also argued that the government must intervene to make sure AI doesn’t cause economic or geopolitical catastrophe.
In 2021, Altman proposed that Congress implement a new tax system that would impose levies on big companies and landholders. The proceeds would be paid out to Americans, ensuring citizens a minimum income in a world where AI is capable of performing more and more jobs.

More recently, Altman has asked lawmakers to consider creating a new agency that would impose safety standards on AI systems that have certain high-level capabilities, such as the potential to develop bioweapons. This idea has also been backed byMicrosoft, whose views will be represented Wednesday by CEO Satya Nadella and Gates, currently an adviser to the company he founded.


Mark Zuckerberg: Open Up AI Development
Mark Zuckerberg, CEO of Meta Platforms. PHOTO: DAVID PAUL MORRIS/BLOOMBERG NEWS
Zuckerberg, who has led the social-media companyMeta Platforms for nearly two decades, is trying to catch up to rivals by asserting Meta as a champion of the “open-source” approach to AI. Open-source software typically is made widely available for use, modification and sharing by the public—and there is some debate about whether Meta’s AI models live up to that spirit.

In July, Meta debuted a new model, dubbed Llama 2, which would be free for commercial use. This week, The Wall Street Journal reported that Meta was looking to build an even larger AI model that would be as capable as the most advanced system currently offered by OpenAI. Zuckerberg, the Journal reported, is personally insisting the new software be open sourced as well.

Meta’s methods cut against the approach of other companies at the Senate meeting, including OpenAI and Google, which are keeping their models under much tighter control. The companies say this allows them to put in place stronger guardrails against misuse—for instance, by programming chatbots to avoid parroting racist language or providing instructions on how to make a bomb.

Some tech-industry watchdogs have even called on Congress to stop the practice of making large, powerful AI systems open source. That hasn’t stopped Zuckerberg from embracing them.

Elon Musk: Focus on Existential Risk
Elon Musk, owner of the social-media platform X. PHOTO: MARLENA SLOSS/BLOOMBERG NEWS
For at least a decade now, Musk has tried to accomplish two, seemingly opposite goals: steer the development of artificial intelligence and warn others that AI could be humanity’s greatest threat yet.

Musk was one of the earliest investors in AI research company DeepMind, and even launched a last-minute bid to purchase the company before losing out to Google. He then helped start OpenAI, but left after losing a power struggle to Altman.

Yet Musk also brings to the Senate meeting a more ominous outlook than many of his peers. This year, as generative AI tools boomed in popularity, Musk began sounding the alarm about the race to develop new AI systems. He was one of the first signatories of an open letter calling for a six-month pause in the breakneck development of powerful new AI tools, partly because the technology was advancing more quickly than experts expected and could eventually outsmart humans.

Companies “will not heed this warning, but at least it was said,” he wrote in a post on X, the social-media platform previously known as Twitter, which he owns.

Inioluwa Deborah Raji: It’s the Bias, Stupid
Inioluwa Deborah Raji, an AI researcher. PHOTO: LIZ DO/UNIVERSITY OF TORONTO ENGINEERING

Many of the executives who will attend Schumer’s forum Wednesday will argue that AI presents a future threat that could imperil humanity. But Deb Raji has her feet firmly planted in the present.

Researchers have found that AI systems trained on historical data can perpetuate past discriminatory practices into future decisions around housing, hiring or criminal sentencing. Research also has shown that generative AI systems can produce biased images.

Raji’s work at the University of California, Berkeley, the Mozilla Foundation and elsewhere has focused on evaluating modern-day AI systems and holding their developers accountable for their harms. In 2020, she published a paper with Google’s Ethical AI team outlining how companies can better internally assess AI systems.