This could potentially have very interesting consequences for ML models. It will depend if their training data is considered part of the source code.
If there was a loss prevention specific video analytic that flagged a person’s behavior as abnormal, would the person have a right to audit the source code for the CNN and/or the training data that was used in the development of that analytic?
As someone working on such analytics it could become a real adventure to comply with that. My dataset came from customers that agreed to shared with positive/negative examples with me but not necessarily for me to share publicly. The privacy of the people in the shared examples would also need to be considered.
If there was a loss prevention specific video analytic that flagged a person’s behavior as abnormal, would the person have a right to audit the source code for the CNN and/or the training data that was used in the development of that analytic?
As someone working on such analytics it could become a real adventure to comply with that. My dataset came from customers that agreed to shared with positive/negative examples with me but not necessarily for me to share publicly. The privacy of the people in the shared examples would also need to be considered.