Description: Ethical gaps in artificial intelligence (AI) refer to areas where ethical considerations are insufficient or nonexistent in the development and application of AI technologies. These gaps can arise due to a lack of adequate regulations, the absence of clear ethical frameworks, or misalignment between business objectives and social welfare. As AI becomes increasingly integrated into various aspects of daily life, from healthcare to public services, it becomes evident that automated decisions can have significant and often unpredictable consequences. Ethical gaps can manifest as biases in algorithms, lack of transparency in decision-making processes, and the unprotected status of personal data. Identifying and addressing these gaps is crucial to ensuring that AI is developed and used responsibly, equitably, and justly. AI ethics seeks to establish principles that guide the design and implementation of AI systems, promoting fairness, accountability, and the protection of human rights. In this context, ethical gaps not only represent technical challenges but also moral dilemmas that require a multidisciplinary approach to resolve, involving developers, policymakers, academics, and society at large.
