Data governance



What ethical data process does Faethm follow?

Faethm follows the Oxford-Munich code-of-conduct for Professional Data Scientists. This Code of Conduct for Professional Data Scientists has been created as a joint initiative between Prof. Dr. Peter Grindrod (University of Oxford) and Dr. Juan Bernabé Moreno (E.ON, University of Granada), in March 2018.

The Code is a dynamic document that will be iterated, extended and amended in a set of round tables across Europe, where data leading representatives from top institutions in Academia and Industry get together with concrete needs and expertise to polish the contents.

How does Faethm avoid demographic bias in data modelling?

Faethm believes in practicing the ethical application of data. No race, diversity or gender information is applied in Faethm modelling that would impact client decision making. For example, in the Job Corridor, in our job-transition calculation we removed gender biases: we have not utilised gender data to show transition pathways from current to future jobs e.g. Nurse to Carer or Construction worker to Plumber. 

Beyond minority considerations, there are minor current known biases in Faethm data and models.

  • Faethm modelling of jobs, skills and tasks are derived from US seed data (ONET)
  • Community assessment of automation and adoption is heavily weighted to Western developed countries