IBM to Train AI to Follow Code of Ethics

Tech giant made one more step in artificial intelligence research
19 July 2018   362

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.

Oracle to Open GraphPipe Source Code

GraphPipe is a tool that simplifies the maintenance of machine learning models
17 August 2018   78

Oracle has opened the source code of the GraphPipe tool to simplify the maintenance of machine learning models. It supports projects based on the TensorFlow, MXNet, Caffe2 and PyTorch libraries. They are intended for use in IoT-devices, custom web-services and corporate AI-platforms.

The tool eliminates the need for developers to create custom APIs. Also, it eliminates confusion when using multiple frameworks and prevents memory copying during deserialization. The developers hope that GraphPipe will become a standard tool for deploying models.

GraphPipe is free and available on GitHub. It consists of open source tools designed to work with artificial intelligence. For example, the TensorFlow framework and the Open Neural Network Exchange (ONNX) project for creating portable neural networks are among them.

In September 2017, Microsoft introduced own tools for operating with machine learning. At the same time, the company released utilities for using Visual Studio Code when creating models based on the CNTK and Keras frameworks.