A world that is increasingly automated and technological presents new challenges, especially in the academic field. Artificial intelligence (AI) can provide efficient solutions, but it also poses risks. How can we ensure that AI is used in a responsible and ethical manner? In this video, we will explain how AI can be regulated in a specific context, such as the Faculty of Law of the Universidad Libre Seccional Pereira.

  1.Risk identification: The first step to consider is the identification of the risks associated with the use of AI in the Faculty of Law. This involves a detailed assessment of the different AI systems and applications used in the academic environment. Some of these risks may include the misuse of personal data or algorithmic discrimination. 

  2.Establishment of risk levels: Once the risks have been identified, different risk levels should be established for the AI systems used in the Faculty of Law. This will allow for regulation measures proportional to the level of risk. High-risk AI systems, for example, should be supervised and controlled more rigorously than low or medium complexity systems. 

  3.Documentation and transparency: Documentation and transparency are crucial to ensure that students and teaching staff at the Faculty of Law understand the functioning and implications of AI in their academic work. This involves providing clear and accessible information about the AI systems used in the Faculty of Law and how they are being used. 

  4.Supervision and control: It is important that high-risk AI systems are adequately supervised and controlled by the Faculty of Law staff. This will ensure the protection of fundamental rights of people and prevent any abuse or misuse of AI technology. 

  5.Elimination of biases and data protection: Finally, it is crucial to eliminate any algorithmic bias in the AI systems used in the Faculty of Law and to apply effective measures for the protection of personal data. This will ensure that AI systems are used fairly and ethically, without violating the rights of students or teaching staff. 

  CONCLUSION: In summary, the regulation of AI in the Faculty of Law of the Universidad Libre Seccional Pereira involves risk identification, establishment of risk levels, documentation and transparency, supervision and control, and elimination of biases and data protection. By implementing these measures, we can ensure that AI is used in a responsible and ethical manner in the academic field, benefiting students, teaching staff, and society as a whole.