Recently, it is observed that data mining technique comes across two major potential risks from social perspective: discrimination and privacy violation. Discrimination means treating people unfairly, just because they belong to minority group, without taking into account their individual qualification. Data mining technique undergoes risk of discrimination, if data mining tasks are performed using discriminatory dataset. Discrimination Prevention Data Mining is an area, which deals with discovering, preventing and measuring discrimination. Privacy provides right to a person to decide whether to disclose or not to disclose his/her sensitive information. Privacy violation occurs if a person's sensitive information is disclosed as a result of data mining tasks. Privacy
IoT is a technology where objects around us will be able to connect to each other and communicate via Internet. Recently, IoT has become an important technology in the world of Internet. However, it comes across problem of big data and extracting knowledge from such data using data mining techniques. Recently, it is observed that data mining increases the risk of violation of fundamental human right, called nondiscrimination. It is obvious that data mining tasks in IoT will also face the risk of discrimination. Discrimination Aware Data Mining is an area which deals with finding methods to discover and/or prevent discrimination. This paper is the first step towards finding discrimination related issues in IoT. This paper describes discrimination discovery and prevention issues faced by IoT. This paper also specifies the huge future research avenue related to discrimination aware data mining in IoT.
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