The scale of application of technological products amplifies the affected area of unethically, or ethics-inconsiderate, products. In such a regard, it is pertinent to discuss the ethics of algorithms applied in various domains to be able to gauge and mitigate the risk area. This piece proposes the interpretability metric to compare the ethical considerations of algorithms. I compare three algorithms with varying degrees of interpretability that are used to generate recommendations for a user in the e-commerce dataset on the basis of their performance accuracy, time, and interpretability. In order to facilitate the conversation around the amalgamation of ethics in algorithms, I also present an in-depth discussion piece on interpretability and its role in the framework for Ethical Decision making.