Starmind's human-centered AI

Learn about Starmind's algorithms

The field of artificial intelligence combines insights from computer science, neuroscience, statistics and linguistics to create computer programs that simulate or mimic human intelligence. Starmind uses artificial intelligence to empower employees and organizations to use their full potential by identifying expert knowledge, making undocumented knowledge accessible and developing talent intelligence. Starmind combines state-of-the-art methods from public artificial intelligence research with our own in-house research and development in order to achieve the best results for our use cases.

The use of artificial intelligence in Starmind can be divided into two main areas:

  • Starmind automatically extracts the most relevant topics from different types of documents and understands how these topics fit into a skill ontology by using techniques from the field of natural language processing.
  • Starmind automatically learns about the knowledge and skills of each individual user, based on different kinds of interactions of users with topics. Starmind continuously updates this information in real time as new relevant data comes in.

At Starmind, we take a human-centered approach to AI. The goal of our AI is to empower and enhance human intelligence, without prejudice or discrimination. Learn more about fairness and explainability in our AI.

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Natural language processing

Starmind uses a variety of methods from the field of natural language processing to identify the most important topics in questions, answers and different types of documents. In the Starmind application, these topics are represented by tags: single words or short phrases that describe a topic of expertise. Starmind's AI uses powerful ontologies and neural network models to understand the meaning and the relationships between different tags. See "Automatic tagging and natural language processing" for more details.

Learning about skills and knowledge

Expertise is Starmind’s internal representation of the skills and knowledge of each user. A user’s expertise on any topic can grow or decrease depending on how the user interacts with this topic on the Starmind Q&A application or on other connected applications (see "Expertise and contributing factors”). The more different sources Starmind learns from, the more accurate and complete Starmind’s representation of "who knows what" becomes (see "Connectors").

Starmind’s expert search algorithm uses expertise to determine who is an expert on a given topic. Expertise is also used to select the most relevant topics to be shown on the profile of each user .