Developers from IBM have created an artificial intelligence that dynamically forms norms of ethics, expressed in a set of rules when creating content recommendation algorithms. This is reported by Venture Beat.
The IBM Neural Network is trained in two phases. Initially, the AI receives a set of constrained examples that the system of recommendations should adhere to. By processing the received data, the neural network forms the required norms of ethics. The more a set of examples, the more accurate the limitations will be.
At the second stage the AI works directly with the user, studying his preferences and reaction to various content. Based on their received information, the system forms a list of recommended videos for viewing. In this case, the neural network adheres to the previously obtained ethical restrictions. In the system settings, you can set the priority relationship between the user's interests and ethical standards.
The problem with this approach is the need to compile examples for the AI. For a child, an older generation has to set up the limits. However, in the overwhelming majority of cases, the system remains with the user tete-a-tete. The user can also determine some ethical norms, however, in the same way, he can change them. On this issue, a group of IBM researchers continues to work together with MIT Media Lab. While the developers offer to choose as a mentor, responsible for ethical issues, a friend or a family member.
In 2017, hundreds of researchers and IT experts, including Elon Mask and Stephen Hawking, compiled a list of 23 basic principles that should be followed when developing AI. In the same year, the Institute of Electrical and Electronics Engineers defined ethical standards for artificial intelligence. Now AI learns to form ethics for people. And on June 17, 2018, IBM announced the creation of a neural network capable of arguably arguing with live opponents.