EDITOR ’ S QUESTION
HOW IS EMERGING AI REGULATION SHAPING THE FUTURE OF DATA COLLECTION FOR BUSINESS ?
Intelligent CIO Q & A with Nerijus Šveistys , Senior Legal Counsel , Oxylabs , on rapid legal developments around GenAI and how businesses can adapt .
NERIJUS ŠVEISTYS , SENIOR LEGAL
COUNSEL , OXYLABS
tThe AI boom was followed by the rush to regulate commercial AI development . What are the main legal outcomes of this rush so far ?
The boom of the last few years appears to have sparked a push to establish regulatory frameworks for AI governance . This is a natural development , as the rise of AI seems to pose issues in data privacy and protection , bias and discrimination , safety , intellectual property and other legal areas – as well as ethics that need to be addressed .
As for specific outcomes , China already started regulating the use of certain AI models back in 2021 . We also have the AI Act of the EU which just came into force and will become fully effective by 2026 . Other jurisdictions are following up with their own measures regulating the AI ecosystem .
What are the differences between the approach to AI regulation in the EU and other jurisdictions ?
The main difference we can see is the comparative quickness with which the EU has released a uniform regulation to govern the use of all types of AI . Other large jurisdictions , such as China and the US , appear to have taken different approaches . China is regulating specific areas of AI step-by-step , addressing what is recognized as risks . In 2021 , they introduced regulation on recommendation algorithms , which have by then increased their capabilities in digital advertising . It was followed by regulations on deep synthesis models or , in common terms , deepfakes and content generation in 2022 . And then , in 2023 , regulation on generative AI models was introduced as these models were making a splash in commercial usage .
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