Control system

1 . A control system installed in a vehicle, the control system comprising:

processing circuitry configured to execute one or more control functions in response to a driving environment of the vehicle or a request, wherein the processing circuitry is further configured to execute:

a first process of determining whether or not a machine learning model is used in a control function being executed;

when it is determined that the machine learning model is used, a second process of notifying an operator of the vehicle that the control function using the machine learning model is being executed; and

operate the vehicle based on a control decision or a control amount generated using the machine learning model based on the driving environment of the vehicle recognized,

wherein the notification is dependent on a contribution degree that is a ratio of the machine learning model among a plurality of models used in execution of the control function.

2 . The control system according to claim 1 , wherein the first process includes determining that the machine learning model is used when an output of the machine learning model is used as the control decision or the control amount in the control function being executed.

3 . The control system according to claim 2 , wherein

the second process includes:

calculating a contribution degree of the output of the machine learning model to the control decision or the control amount; and

changing a notification depending on the contribution degree.

4 . The control system according to claim 1 , wherein the first process includes determining that the machine learning model is used when, in the control function being executed, the control determination or calculation of the control amount is being performed using information of the driving environment recognized by the machine learning model.