We aim to develop AI algorithms that are capable of making decisions the same way the human brain does. AI systems learn from a vast number of examples fed to them by people. We rigorously select training samples for our AI systems to learn from.
The safety of our AI algorithms is our top priority. Algorithmic decision-making must be predictable and reproducible. We rigorously test our algorithms before launching them and continue monitoring their work after launch.
Our ranking algorithms are based on principles that are transparent and can be clearly explained to the public. This is especially valid for all sorts of ‘best of’ lists and ratings.