The Explainability Principle as a Condition for Ethical Interventions for Artificial Intelligence Algorithms

In addition to being useful, artificial intelligence and big data create problems such as data bias. Data bias can reproduce and expand discrimination. This urges the establishment of standards and efforts to correct data bias. Some such arguments say that data bias can cause human discrimination and violate equal rights. However, regardless of the data bias problem, attempts to correct it must be very careful as it can lead to various ethical issues. This study shows that active ethical intervention in artificial intelligence algorithms can cause an equal rights violation from Dworkin’s perspective. Also present the explanatory principle to protect the equal rights of general members of society from artificial intelligence algorithms.