Great presentation that breaks down what needs to be considered from a privacy point of view in the different phases of an AI project.
My hope is to turn these into a “checklist” for new AI experiments that are run on pre-assessed AI platforms. (I’m very interested in comments).
Full slides from DPC19 :
Light, high-level presentation at a FDA event in 2017 (?), with some *easy* examples of *bias* and *potential errors/issues*.. (also some pointer to GDPR discussion)