An experienced developer conducted a study on the potential of AI to navigate the complexities of data privacy under the username Tyingshoelaces, as described in an article for HackerNoon. He reported on his experience integrating multiple AI tools into a single platform.
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It has started using generative AI to facilitate data privacy. The developer focused on the tangle of legal regulations and ambiguities that turned out to be associated with data privacy.
A specialist has developed a sophisticated tool that can scan and analyze public websites to check compliance with global regulations.
By using ChatGPT for content quality control and “cost-effective data processing,” their platform was able to synthesize and simplify complex legal requirements.
As he noted, it was not without difficulties. Managing costs and optimizing the performance of various APIs have become major obstacles. He also spoke of technical difficulties. He found them not only at the stage of optimizing I/O processes, but also at ensuring the accuracy of data in real time.
Consider that companies are using AI to automate routine tasks to free up employee time for more creative and complex work, and plan to increase the number of tasks delegated to the machine. RB.RU previously explained how to get the most out of using generative neural networks.
Author:
Nikolai Tikhonov
Source: RB
I am a professional journalist and content creator with extensive experience writing for news websites. I currently work as an author at Gadget Onus, where I specialize in covering hot news topics. My written pieces have been published on some of the biggest media outlets around the world, including The Guardian and BBC News.
