Deep learning techniques, buzzworded Artificial Intelligence, offer various solutions to everyday problems. If these systems acquire enough general and personal data, they can ease the most simple everyday questions like “What should I wear today?” or “What’s the best option for our family today to have lunch?”.
Giving away privacy for AI decisions in life?
However there is a catch. Answers to these questions depend on the availability of the personal data. Without acquiring data about each detail of your life, AI can have a limited ability to provide the best possible options for you.
We can call these acquiring points cookies to make it sound more tasty. We can even write complex and extensive privacy policies that nobody wants to read so they rather confirm the cookies choice.
Yet at some point the user is in doubt if they want to really give away all their secret thoughts. They implement their own strategies to prevent real data sharing.
Even at the costs of inferior options they receive.
Providing data to AI to get more customers?
There is another catch. Some companies have enough business. There are restaurants that simply don’t want more guests. Some business owners don’t care for more work even if that means more money. They are not even considering the cost reduction. They are simply doing their business.
But they may be the best option for the customer. Their offer could be the best but since there is no relevant data about them on the internet, AI will not recommend it to the end user.
So what will occur?
Most probably something in between. Deep learning and famous AI may ease our solutions and everyday life. Then again we will want to make sure it does so with certain limitations in understanding our private thoughts and behaviour.
But this article was not meant to provide answers. It is for raising the questions at the 2023 Youth parliament in Maribor. If you have any answers, just spread it out here in the comments. :)
Image by MidJourney
More resources for the participants of the Youth parliament
Here are the slides.
Here is the related article from Think with Google.
And here you can grade how you have liked the presentation. :)
Want to discuss it further? Try our LinkedIN post.