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Some of the AI issues that have regulators concerned include:
data
At an event at the University of Chicago in April, Assistant Attorney General Jonathan Cantor expressed a “sense of urgency” to address the advantages that large companies have in access to the data used to train AI models.
“To the extent that data is aggregated or in the hands of a few people, it could become the highest level of competition as the barriers to scale and access to these key ingredients limit it to a few players,” he said.
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Workers Another concern is the impact generative AI will have on not just the engineers who build the technology, but the creative people whose jobs may be replicated by it.
“Without competition to pay the creators of their work, AI companies could abuse their monopoly buying power in ways we've never seen before,” Cantor said in late May at a Stanford University AI conference co-hosted by the Justice Department. Monopoly buying power is a term that often refers to the domination of a labor market by one or a small number of employers.
The FTC, which recently moved to ban non-compete agreements, expressed concern last year that AI employers could stifle competition by preventing skilled workers from leaving for rival companies.
partnership
In January, the FTC launched a broad investigation into AI companies and cloud service providers, ordering OpenAI, Microsoft, Alphabet, Amazon, and Anthropic to provide information about their recent investments and partnerships.
“We are examining whether these relationships allow dominant companies to exert improper influence or gain privileged access in a way that undermines fair competition across layers of the AI stack,” FTC Chairman Lina Khan said at the time.
Regulators are also seeking to understand how partnerships with Big Techs affect strategy and “decisions about pricing products and services, decisions about granting access to products and services, and personnel decisions.”
One goal of scrutinizing partnerships is to “make sure they're not a way to avoid merger review,” Khan said at the University of Chicago conference.
