“Users will be able to communicate with the chatbot as if it were a personal trainer”

Kommersant FM columnist Alexander Levi talks about the use of artificial intelligence Fitbit AI to personalize communication in chatbots.

Google announced the development of a fitness chatbot based on artificial intelligence Fitbit AI. From the name it is easy to understand that a subsidiary of Fitbit is involved in the project with the IT giant. The model promises personalized communication to future users.

Most modern fitness apps track users’ health using sensors and display the data through graphs and charts. Google’s approach goes beyond schematic and numerical interpretation. The creators of Fitbit AI are aiming for transformation on a more practical level. Namely: users will be able to communicate with the chatbot in natural language and question it as if they were talking with a personal trainer and trying to adjust their sports activities.

As possible questions, the developers gave an example about potential connections between sleep patterns and daily activity levels. According to the authors of Fitbit AI, in response, the AI ​​will analyze the recorded trends and provide information indicating that an increase in sleep quality coincides with an increase in activity.

The chatbot is planned to be launched this year. It will primarily be distributed to Fitbit Premium subscribers on Android devices participating in the Fitbit Labs program. The further fate of the instrument has not yet been determined. Another artificial intelligence model, the Personal Health Large Language Model, based on the current Gemini chatbot, will analyze anonymized data from Fitbit and Pixel device owners to offer more comprehensive and personalized recommendations.

It’s worth noting that Google’s health-focused AI development goes beyond fitness. The corporation, for example, is working on a machine learning model designed to help doctors—AMIE (Articulate Medical Intelligence Explorer). It is currently being tested to support clinical conversations, diagnosis and communication with patients.