Description: Interdisciplinary collaboration refers to the integration of knowledge and methods from different disciplines to address complex problems, especially in the field of artificial intelligence (AI) ethics. This approach allows experts from various areas, such as computer science, philosophy, sociology, and law, to work together to analyze and resolve ethical issues arising from the development and implementation of AI technologies. Interdisciplinary collaboration fosters a rich dialogue, where each discipline contributes its unique perspective, resulting in more comprehensive and nuanced solutions. Furthermore, this type of collaboration is essential for anticipating and mitigating the risks associated with AI, such as algorithmic bias, data privacy, and accountability in automated decision-making. In an increasingly interconnected and technological world, the ability to unite different fields of knowledge becomes crucial to ensure that AI is developed ethically and responsibly, benefiting society as a whole.
