How do you control the hyper-rapid advancement of a destructive tech beast?
When it comes to things like generative artificial intelligence (AI) and its unprecedented commercial explosion, market innovation has always played the role of the proverbial ‘rabbit’ to the regulatory ‘tortoise’ of governments. But the role of innovation may be better played by something like AI. Cheetah.
That hasn’t stopped the 27 member states of the European Union (EU) from taking similar measures. rocket powered roller skates Ride your own turtle to keep up with the pace of AI technology.
The EU’s AI regulatory law, the Artificial Intelligence Act (AIA), has already progressed and is expected to continue to evolve. take effect gradually From next year.
So far, the EU’s rapid and pioneering approach has left the United States in dust. At least for now.
“It’s an interesting Rorschach to figure out what’s important to the EU and what’s important to the US,” says founder and CEO Shawnt Sarkisian. AI-IDtold PYMNTS CEO Karen Webster.
“If you look at all the regulations that have come out of the EU, they tend to be very focused on consumer privacy in general and less rigid about how this is used in commerce. There is,” he added.
Given that the AI must be trained on data, lots of data — The EU’s AIA could have the unintended consequence of moving future innovations to other jurisdictions.
“If you make it difficult to train models in the EU and the US, where will the technology gravitate? Told.
Get Research Results: Preparing for a generative AI world
Finding a balance between regulation and innovation
That doesn’t mean the U.S. is ready to capture most of AI’s growth flywheel.
Without clear regulation, companies may be reluctant to invest in AI R&D, slowing progress in the field.
That’s why we collaborate Between industry and regulators It is considered important to the growth of the AI industry.
Sarkisian said the industry insider said, “I know this is new, and I know it’s a little creepy. Let’s not just beg for forgiveness later, but let’s work together on the rules and laws and regulations because that’s what we do.” Please contribute to the growth of the industry.”
He added that the first principles of AI regulation should be accountability and traceability, necessary to hold companies accountable for the negative consequences that may arise from the use of AI.
The key to effective AI regulation is defining what is regulated
The ongoing commercialization of AI will continue to grow and become more and more embedded in our daily lives. In short, the debate around AI regulation will become increasingly important.
“There are certain basic guardrails that are going to be put in place and I think the government is going to be very effective rather than prescriptive and saying you have to do these things. said Sarkisian. “90% regulate use cases, maybe 10% regulate technology,” he said.
He cited the dichotomy between health inspectors and restaurants as an example. Inspectors are responsible for ensuring restaurants meet specific standards of cleanliness and process adherence, but their role is on another planet than telling chefs which recipes to use. In the (clean) kitchen.
like PYMNTS does previously wrote, policy makers are currently considering several approaches for regulating AI. These approaches can be broadly grouped across AI-specific regulations (EU AI Law), data-related regulations (GDPR, CCPA, COPPA), existing laws and regulations (antitrust and anti-discrimination laws), domain or sector specific regulations (HIPAA and SR 11-7).
“We need rules governing what is AI and what qualifies as AI. It will be built in,” Sarkisian said. “There needs to be a clear line between what is considered generative and output-based AI and what is just running analytics on existing systems.
“In many respects, EU law forces other countries to strengthen and promote their own approaches, albeit with some challenges,” he explained. “This is a problem that people want solved and want done right.”
