Skitag AI Ethics
Data Governance and Privacy
The user is the owner of the data. The data is stored locally on-device. The user can delete it from its devices anytime. The data is synced within the user’s devices connected to its Apple ID account. Behavioral data could be classified as biometric data. The user can share the data, both CARBIO and/or Downhills, with another user. Nevertheless, the data stored or shared do not contain any Personal Identifiable Information (PII) that could be used to identify the user.
Data Sharing
The receiver of shared data owns the data received. The new owner can use, delete, or share that data. The data shared has no identity information (de-identification), and can’t be traced, so it is anonymized by aggregation. The data is shared by proximity. The sender generates a QR code with the record ID of the data to be shared. At the same time the data is provisionally stored in the Skitag's App iCloud public container. The receiver scans the QR Pass to download that specific record ID. The sender automatically deletes the record stored in Skitag's App iCloud public container when the QR Pass view is closed.
Skitag’s App iCloud public container
The Skitag’s App iCloud public container could only be accessed by an authorized developer of Skitag AI S.L.. Nevertheless, Skitag AI S.L. will not access that data at all, and will not use it in any kind. Additionally, the Skitag’s App iCloud public container will not permanently store any data. The application only temporarily stores the data while the transaction is taking place. It shouldn’t take more than a few seconds per transaction. The application implements a method to remove the data stored in the Skitag’s App iCloud public container to avoid any failure on regular operations.
Explicability and Transparency
Whenever it is possible, Skitag AI technology will be publicly available (i.e. GitHub repositories). The user can have access to graphical representation of their data. The user can watch and understand the meaning of the input data. The user is responsible for the labeling task of the training data. That means that the user has some understanding of the meaning of the data and what the user is training an algorithm for. Training metrics will be openly shared to the user. The user can watch/evaluate the performance of its algorithm with its own evaluation data.
Bias and Fairness
The user will collect and train its own AI engines. The information contained in the users’ datasets will be explained (i.e. on-device sensors data collection and interpretation) as well as the algorithm life cycle (i.e. data collection, training, evaluation, deployment and interpretation of their outputs). The AI engine will be biased showing the users’ carving biometrics.
AI System lifecycle
What is "The Data"
Skitag App uses the iPhone or the Apple Watch sensors to collect behavioral data (i.e. GPS, Accelerometer and Gyroscope). For instante, Skitag uses Location updates (e.g. speed, altitude or distance) and movement measures (e.g. attitude, accelerometer or gyroscope data) to decide whether the user is going downhill or not, or is carving or not. Moreover, Skitag collects GPS location information (e.g. latitude and longitude). This information is used to locate the user in a map, and to draw its path while skiing (i.e. trace a downhill and plot into a map).
Who owns the Data?
The user is the owner of the data. The Data can be shared to another user. The user that receives the Data owns the received data. Ownership by possession. The new user can use or share that Data.
Where is the Data stored
The Data is stored locally on the device used to collect the Data; i.e. an iPhone, or an Apple Watch. Then, the Data is synced among the other devices associated with the user Apple ID.
How is the Data synced?
The Skitag App sends the data to a private container in the user's iCloud account; i.e. private means that only the user has access to that container. Then, the Data is sent to the other devices where the user is Signed In using that same Apple ID account.
How is the Data shared?
The sender generates a QR code representing the record ID of the data that is at the same time provisionally stored in Skitag's App iCloud public container. The receiver scans the QR Pass to download that specific record ID. The sender automatically deletes the record stored in Skitag's App iCloud public container when the QR Pass view is closed.
Disclaimer
The Skitag’s App iCloud public container could only be accessed by the Skitag App itself with a valid Apple ID Account, or by an authorized developer of Skitag AI. It can only be accessed while a user is making a transaction. Nevertheless, Skitag AI will not access that data at all. All data is temporarily stored while the transaction is taking place. No more than a few seconds per transaction. The Skitag’s App iCloud public container will not permanently store any user’s Data.
Why do I need to store the Data?
There are two kinds of Data within the Skitag ecosystem. First, there is the Data related to a Ski Session; i.e. Distance, Speed, Efficiency, and Balance. This information is stored to let the user keep track of their ski sessions. Then, there is the Data related to the user's CARVING BIOMETRICS. This information is stored to train and fine tune the machine learning algorithms (CARBIO) measuring the Carving Style, Speed and Path.
Does anybody else have access to the Behavioral Data (biometrics)?
No, unless you decide to share it. In that case, you’ll be sharing that information by proximity (via QR code) with known users. You can complete this operation through the Skitag App only.
What is a CARBIO?
It’s a machine learning algorithm that receives an input (e.g. speed, altitude, acceleration, attitude, etc.), processes that Data, and outputs a binary decision (e.g. carving, not carving). The machine learning algorithm is a Long Short Term Memory (LSTM) Recurrent Neural Network architecture. It is used to evaluate the kind of information that has a timeline dependency.
Does the CARBIO have the same status as the Data?
Yes. The user is the owner of the CARBIO. It's stored locally on the device and synced by iCloud (private container) to other devices signed in to the same Apple ID. On the other hand, the user could share the CARBIO to other users so they can try their biometric (i.e. their Behavioral Data) with that CARBIO, or fine tune the CARBIO with its own Data.
What kind of tasks can I do in any of the synced devices?
iPhone: Collect, process and output information about your ski session. It uses the Location and IMU (Inertial Movement Unit) sensor to evaluate your behavioral Data (biometrics) and outputs information about your downhill, and about your ski session. You can watch your biometric Data, you can label your Data, and use it to fine tune (or train) a machine learning algorithm (a CARBIO). You can sync that information to your connected devices (e.g. iPad). iPad: You can watch your SKI SESSIONS and DOWNHILL data. You can watch and label your behavioral Data (biometrics). You can fine-tune (or train) a machine learning algorithm (a CARBIO). You can sync that information to your connected devices (e.g. iPhone).