Abstract: Privacy is a fundamental right and its breach should be punishable offence. But its definition/scope is not uniform globally which gives an opportunity to privacy invaders. Some countries have complex regulation structure for privacy related issues like in U.S. where structure is departmentalized. This makes the system opaque for the citizens and discourages them to exercise their rights. Like any other technology, data analytics domain is swiftly evolving, thus it becomes difficult to consider all the privacy breaching scenarios under the preview of law enforcement and regulation. Even Netflix could not anticipate de- anonymization algorithm and compromised its customers data and paid USD 9 million for lawsuit under VPPA Act 1988. Thus, I would suggest input (training dataset) and output should be encrypted, and algorithm should work on encrypted data for the sequel of such competitions. Ethics is a broader concept than privacy as it deals with the activities which are wrong or right and not necessarily legal or illegal. To be ethically correct, corporates, government, individuals etc. involved in data analytics should follow guidelines, regulations stipulated by various organizations like OECD, concerned/respective regulatory bodies etc. Hence it is unethical to use unregulated software/algorithms such as facial recognition which has low accuracy and higher probability of misuse.