Good Machine Learning Practices Team


To establish Good Machine Learning Practices (GMLP) that will increase enterprise-wide effectiveness and decrease risk to patients, products and the overall business.

The GMLP Team is bringing the world of AI activity into one place in order to increase the awareness of good work that has already been done, but also to collaboratively further solutions that address challenges related to AI implementation across the industry.

Problem Statement

The use of machine learning in the pharmaceutical and medical device industries bears the risks of unanticipated outcomes, unintended (and undetected) degradation in time, confusion for users, and incompatibility of results with other software that may use the output of the evolving algorithm. Good Machine Learning Practices will support the ability of organizations to use AI in a responsible and effective way.

Joining the Team

You have an opportunity to work with your industry and regulator peers to develop solutions that will advance the predictive capabilities of the industry.

  • The GMLP Team operates virtually from September through August each year, and is led by a structured leadership team towards predefined goals and deliverables.

  • The Team Leaders present the outcome of the work during the Xavier AI Summit that occurs each August. You will be recognized for your contributions at the Xavier AI Summit and in team publications.

  • Meeting frequency and duration is based upon what is needed to support progress against the deliverables. Team members volunteer to work on specific aspects based on their expertise.

If you are interested in joining the GMLP Working Team, please note:

  • There is an annual participation fee of $100 per team to support Xavier’s ability to lead these initiatives.

  • It is expected that you participate in the standing meetings (schedule is determined by each team).

  • Plan on a time commitment of 5 hours per month, but this may vary.

Team Leaders