Algorithmic pricing is an emerging business practice that uses computational algorithms to determine the prices of products and services based on a number of dynamic factors. This phenomenon has generated growing interest in various sectors, ranging from e-commerce to transport supply management and beyond. However, as it spreads, relevant ethical issues emerge that require careful consideration and effective solutions. This thesis aims to examine the ethical aspects related to algorithmic pricing, exploring its impact on competition, price transparency, social fairness and the consumer. To do this, different types of pricing algorithms will be analyzed, including those based on machine learning algorithms, dynamic pricing strategies, and revenue optimization algorithms; in addition, the sectors where they are most applied will be analyzed, after introducing a historical excursus and the fundamental concepts.