Despite widespread adoption machine learning models remain mostly black boxes understanding the reasons behind predictions is however quite important in assessing trust which is fundamental if one plans to take action based on a prediction or when choosing whether to deploy a new model such understanding also provides insights into the model which can be used to transform an . Trust deciding if one should trust a prediction choosing between models improving an untrustworthy classi er and identifying why a classi er should not be trusted 1 introduction machine learning is at the core of many recent advances in science and technology unfortunately the important role of humans is an oft overlooked aspect in the eld whether humans are directly using machine . Trust has nothing to do with technology and everything to do with people thats why the best way for a sales rep to build business trust is to start out with a referral introduction the trust a prospect has for the referrer is transferred to the rep so it doesnt take years to earn their trust referred salespeople arrive with trust and credibility already earned then its up to them to treat the prospect with care and integrity. Why should i trust you explaining the predictions of any classifier pages 1135 1144 previous chapter next chapter abstract despite widespread adoption machine learning models remain mostly black boxes understanding the reasons behind predictions is however quite important in assessing trust which is fundamental if one plans to take action based on a prediction or when choosing