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process its search results and the firm had already declared that the system is also used to help rank web pages. Among other functionalities, this technology was projected to learn and predict user behavior which helps Google to receive and respond to millions of queries daily. In a Practical way RankBrain helps Google to interpret both content and intent in some particularities. Although Google has given few information about how AI specifically works in this project, company announced that it has become a relevant ranking flag for a web page. This has placed an even greater emphasis on creating content that matches the user intent (Shantam, Kumar & Tiwary, 2017). In addition, based on a complex set of business rules and constraints, prescriptive analytics can automatically improve prediction accuracy and best decision choice scenarios. In prescriptive analytics approach a set of techniques computationally identifies several alternative actions to be taken by management, given their complex objectives and limitations (Appelbaum, Kogan, Vasarhely & Yan, 2017). For different reasons such as complexity, protected patent rights and trade secrets, it may not be possible to completely understand what search algorithms are looking forward, how they are evolving, and the real intention supporting them. Thereby, it seems that significant reliance is placed in those who develop and monitor search engines. Assuming a position of unconditional acceptance of SE algorithms suggest some risks. Being awareness of biases may already exist now or in the future is at least prudent (Cleverley, 2017). At this point we may think about all of these human behavioral patterns being monitored and also the ethics concerns about SE market methods and trends. Whether we want or not, each of us is already a part in this experiment context. It seems that SEO algorithms no longer just help us find what we know but can also suggest what we don’t know. This is the fundamental of prescriptive analytics (Bertsimas and Kallus, 2014) which answers the question of what should be done given the descriptive and predictive analytics results. Together with those ethics concerns, it is growing the debate about the limits of digital marketing. Therefore, this is the main reason of recent European Union implemented General Data Protection Regulation (GDPR) which is a regulation on data privacy and protection for all individuals within the European Union considering the aspects of privacy and safety regarding the use of collected personal data. It seems to be urgent to limit human liability for artificial intelligence. Although to stimulate innovation in artificial intelligence may prove to be beneficial, such improvements must be considered alongside legislation defining socially acceptable limits and controls over the application of artificial intelligence so that providing effective rights of redress for individuals and groups that may suffer harm (Butterworth, 2018). 24

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