In recent years, state and international institutions have tried to face the challenge of privacy and data protection with targeted legislative interventions. But this came at a cost.
More constraints, new expenses, and a lot of cumbersome bureaucracy for companies were the typical price to pay…
In today’s article, we’re gonna find out how artificial intelligence can be implemented to mitigate such issues and make privacy protection… easier to digest.
The privacy legislation and its problems
European and US institutions are making huge efforts in the field of privacy protection. The most important milestone, achieved in recent years, is the General Data Protection Regulation (GDPR) in the European Union.
Fairly similar privacy law has been accepted in the United States: the Californian Consumer Privacy Act (CCPA). It entered into force on January 1, 2020.
But GDPR and CCPA have a massive impact on companies and business processes. In many cases, this impact is negative and leads to new costs and obstacles.
In particular, GDPR suffers from two main disadvantages. Let’s see which ones!
1. The GDPR affects everyone indiscriminately
The modern world is very, very interconnected. Communication, business processes, and economic relations integrate the world into a vast network.
The GDPR divides countries into “whitelists” and “blacklists”. This reflects the policies of local authorities, but not of local businesses and, of course, of international companies’ partners and representatives.
Sometimes, such a split is a sufficient reason to cancel profitable business projects, and this negatively impacts high-tech companies.
2. Scammers are still a problem
The GDPR is a general set of rules and approaches. It is not a universal recipe.
And this document doesn’t solve the main source of privacy issues: scammers. One person is enough to steal millions of data.
Solving these problems with AI
Artificial intelligence can successfully solve both of the problems mentioned. How? Keep reading!
Why do companies outsource?
The main reason why companies decide to outsource data processing to other countries concerns costs. Sometimes this reason is the only one.
For example, healthcare industries in the United States may involve Eastern European medical experts to evaluate the results of medical diagnostics. This is because the salaries of experienced doctors are 10 times lower than in the United States.
Another very common example? When you place an order in a large international webshop in London, your order information may be handled somewhere in India or Turkey.
Once your order information has been processed, it will be sent back to the UK, to Guildford (a town near London).
What if AI takes care of it?
The reason why such intricate business processes exist is the fact that only people can process intellectual tasks. And there are different wages in different countries.
This has been for years. But now such data trips can be illegal due to the GDPR.
In the 21st century, the rules of this game have changed. AI technology can perform such processing: for medical cases, for in-store orders, and another hundred thousand cases.
Businesses can implement AI for data processing and keep their whitelisted position. There is no need to go against the GDPR to cut costs.
Investing in AI: costs and benefits
For sure, artificial intelligence projects may require valuable investments, but they can also bring significant profit and legal advantages as the possibility of unauthorized access to private data is minimized.
Hence, AI will help you keep your interconnections legal. All privacy-sensitive data can be processed by the competent authorities. And you will be able to share the processing results with your partner companies.
This is exactly what a company needs! Data processing is just a tool for getting results.
Taking into account the benefits of artificial intelligence such as scalability and processing speed, these solutions will help you keep your business safe.
AI vs bad guys
The fewer people have access to your data, the lower the risk of unauthorized access. Therefore, the very fact of using AI protects users.
This is exactly the solution to the second problem: fraud. Scamming is inherent in people, but not in technologies. Perhaps AI is the safest solution for data processing ever.
I heard a lot of negative opinions about GDPR and CCPA. But I have a positive feeling about it. First, privacy is extremely important. Second, the GDPR and CCPA are pushing the AI transformation forward.