Nowadays we have been dealing with a significant increase in decisions based, solely, on Big Data and algorithms, which means that many processes are fully automated. Every organization that adopts compliance systems must follow parameters. These parameters are better controlled when used by artificial intelligence, since there is no direct involvement of human beings and, consequently, less chance of error, intentional or not. This illustrates a scenario where the use of artificial intelligence can be more efficient and less costly than other tools, in addition to being more accurate. It is not surprising, therefore, that more and more people talk about algorithmic decisions. Although there have already been several studies on cognitive biases, there are numerous difficulties in dealing with the topic, as many of those who are involved in organizational decisions are considered partial or biased and may not reflect the expected ethical standard. It is believed that the machine tends to fail less, according as it replaces human decisions – considered naturally flawed and impartial. Is it, therefore, an efficient and safe substitute for the implementation and maintenance of compliance systems in organizations?