Best practices for managing the development of human behavior targeting algorithms
Algorithms. Behavior steering. Best practices.
Nowadays, in a society increasingly focused on digitalization, algorithms have become very important figures to make this digitalization possible. Algorithms, increasingly accurate, are used for several purposes, among them for predicting and directing behaviors based on users' data in the cyber environment. The steering is often done without the full understanding of the users, in what can be considered true "social experiments", without a defined ethical standard. Thus, this paper seeks to analyze best practices to help achieve security, transparency, and predictability in the development of targeting algorithms and influence user behavior, for example. The research uses an exploratory and qualitative approach, considering literature analysis and interviews with professionals in the field. Finally, it seeks to bring an alternative to solve the problem of the lack of transparency in the use of data to predict and change behavior, through the proposition of the product " A Guide to Best Practices for the Development of Algorithms for Targeting and Influencing Behavior".