The core goals of the AI Act are to mitigate the risks and define clear operational boundaries for AI systems. The regulation also specifies clear-cut obligations for both users as well as developers, aims to create a governance structure at national and bloc levels, and to create an assessment guideline. Open-source projects and scenarios where AI innovation supports small and medium enterprises (SMEs) have been added as exemptions for regulatory oversight.
Another core space of the AI Act is to stop AI systems from generating illegal content. While a majority of mainstream generative AI products like OpenAI’s Dall-E and ChatGPT, Microsoft’s Bing Chat, and Google’s Bard have safeguards in place, there are multiple publicly accessible AI tools out there that have no such filters.
This allows for the creation of synthetically altered media, such as explicit deepfakes. Earlier this month, the FBI issued a warning about the rise in deepfake crimes. AI systems have their own set of fundamental problems such as “hallucinations,” causing them to generate false “facts” out of thin air. Europe isn’t the only region where AI regulation is picking up pace, and legal enforcement of the AI Act is still months away.
In April, the Commerce Department invited public commentary into shaping AI policy recommendations, especially with federal safety guards that should be put in place. The same month, China’s internet regulator released its own detailed proposal for regulating AI products to align with the country’s notorious censorship laws.
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