I'll answer in English.
Open source is a good idea. It depends on what kind of algorithm. It's important to know what the algorithm is. If it's a machine-learning algorithm, it has training data. Training data won't be made open source, because it's huge and it's complicated.
It's a good idea to have it open source, but more than that, you need to have some idea of what the algorithms are doing to explain the decisions. You need to have more emphasis on explainable algorithms, not only how they work and what they are but also what is learned. The model itself could be inspected. Of course, only specialists would be able to understand it, but still, you need to be as transparent as possible about the kinds of algorithms used.
It's a tough question, open source. Companies don't always like that, because they want to make money off of those algorithms. There's a balance here.