Abstract: A system includes a user computing device with an application for removal of privacy data. The application obtains vehicle information associated with a target vehicle that has a target in-vehicle device from which privacy information of a user is to be removed. Using the vehicle information, the application determines vehicle parameters associated with the target vehicle. The application obtains a privacy information removal file comprising an instruction set associated with removing privacy data from candidate in-vehicle devices, and presents the instruction set. A user experience feedback associated with the candidate in-vehicle devices is obtained and stored in a database.

Abstract: Utilizing a user computing device to remove privacy information. The user computing device may obtain a vehicle identification number associated with a target vehicle that has a target in-vehicle device from which privacy information of a user is to be removed. Using the vehicle identification number, the user computing device may obtain vehicle parameters associated with the target vehicle. The user computing device may obtain a privacy information removal file comprising an instruction set associated with removing privacy data from candidate in-vehicle devices, and may present the instruction set. The user computing device may obtain a user feedback experience. The user feedback experience may include a confirmation of removal of the privacy information from the at least one candidate in-vehicle device, user comments, a voice recording, or an image, captured by a camera of the user computing device, of the at least one candidate in-vehicle device.

Abstract: Generating, using artificial intelligence algorithms and a training dataset, at least one machine learning model that is configured to generate scores for multiple attributes of one or more personal data handling approaches associated with a vehicle and/or an in-vehicle unit of the vehicle that handles personal data of a user. The training dataset comprises labelled documents that define the personal data handling approaches, each labelled document having scores pre-assigned to one or more of the multiple attributes of the respective personal data handling approach. Determining one or more personal data handling approaches associated with a target vehicle linked to received vehicle identification information and at least one in-vehicle unit of the target vehicle that handles personal data of the user. Performing semantical analysis of the personal data handling approaches.

Abstract: A system includes a user computing device with an application for removal of privacy data. The application obtains vehicle information associated with a target vehicle that has a target in-vehicle device from which privacy information of a user is to be removed. Using the vehicle information, the application determines vehicle parameters associated with the target vehicle. The application obtains a privacy information removal file comprising an instruction set associated with removing privacy data from candidate in-vehicle devices, and presents the instruction set. A user experience feedback associated with the candidate in-vehicle devices is obtained and stored in a database.

Abstract: A method includes utilizing a user computing device to remove privacy information. The user computing device may obtain a vehicle identification number associated with a target vehicle that has a target in-vehicle device from which privacy information of a user is to be removed. Using the vehicle identification number, the user computing device may obtain vehicle parameters associated with the target vehicle. The user computing device may obtain a privacy information removal file comprising an instruction set associated with removing privacy data from candidate in-vehicle devices, and may present the instruction set. The user computing device may obtain a user feedback experience. The user feedback experience may include a confirmation of removal of the privacy information from the at least one candidate in-vehicle device, user comments, a voice recording, or an image, captured by a camera of the user computing device, of the at least one candidate in-vehicle device.

Abstract: A system includes a server that is communicatively coupled to a computing device. The server receives vehicle information associated with a target vehicle that has a target in-vehicle module from which a privacy information of a user is to be removed. Using the vehicle information, the server retrieves and transmits data associated with removing privacy information from a set of candidate in-vehicle modules of vehicles that are related to the target vehicle. The computing device presents an instruction set associated with removing privacy information from the candidate in-vehicle module that corresponds to the selected image. The server receives user feedback associated with the instruction set.

Abstract: A system includes a server that is communicatively coupled to a computing device. The server receives vehicle information associated with a target vehicle that has a target in-vehicle module from which a privacy information of a user is to be removed. Using the vehicle information, the server retrieves and transmits data associated with removing privacy information from a set of candidate in-vehicle modules of vehicles that are related to the target vehicle. The computing device presents images associated with the candidate in-vehicle modules in a likely order of resemblance of the candidate in-vehicle modules to the target in-vehicle module. The user selects an image of a candidate in-vehicle module that matches or resembles the target in-vehicle module. The computing device presents an instruction set associated with removing privacy information from the candidate in-vehicle module that corresponds to the selected image. The server receives user feedback associated with the instruction set.

Abstract: A system includes a first device that is communicatively coupled to and synchronized with a second device such that the second device stores privacy information of a user that is contained in a data file of the first device. Upon receiving a request to remove the privacy information of the user from the second device, the first device creates and stores a backup copy of the data file. Then, the first device deletes the data file from the first device. Further, a replacement file for the data file is created. The replacement file comprises non-sensitive information. The replacement file is uploaded to the second device to overwrite the privacy information with the non-sensitive information. Then, a radio frequency communication between the first device and the second device is disabled and the data file is restored using the backup copy.