César Alberto Collazos is one of the invited speakers at the First International Congress on Quality and Accreditation in University Education, where the Unicauca Professor will address the use of technologies from a human-centered approach, emphasizing aspects such as the development of a comprehensive vision of public policies on AI.

Professor César Alberto Collazos, affiliated with the Department of Systems at the Faculty of Electronic Engineering and Telecommunications of the University of Cauca, is one of the keynote speakers at the 1st International Congress on Quality and Accreditation in Higher Education. The event will take place from April 22nd to 24th at the Universidad Central de Caracas (Venezuela). Professor Collazos will lead the talk titled "Artificial Intelligence and Educational Technology: Challenges and Perspectives for the Quality of Higher Education," where he will present his insights on the importance and challenges posed by the use of these technologies in higher education.

"The aim is to reflect on higher education and the current needs of a world characterized by the generation of knowledge on a large scale, the incorporation of artificial intelligence into human activities, environmental conservation, and the demonstration of values and principles for coexistence and peace," he indicated.

The event, organized by the Universidad Central de Caracas, aims to identify best practices for achieving quality and accreditation in educational institutions, thereby contributing to the sustainable development of society.

"Recognizing that universities cannot be transformed solely from an academic perspective, there is an encouragement of shared responsibility among the involved stakeholders (students, faculty, alumni, employers, governments, and civil society, among others)," added Professor Collazos.

The theme of the talk focuses on the use of technologies from a human-centered approach, an aspect that is explored within the IDIS (Research and Development in Software Engineering) group, coordinated by Professor Collazos. Emphasis is placed on aspects such as developing a comprehensive vision of public policies regarding AI for sustainable development and the complexity of technological conditions necessary to progress in this field, which requires harmonizing multiple factors and institutions.

Similarly, he will emphasize ensuring the equitable and inclusive use of AI in education. "With the development of AI, less developed countries are at risk of being affected by new technological, economic, and social gaps. Major obstacles, such as the lack of basic technological infrastructure, must be overcome to create the necessary conditions for implementing new strategies to leverage AI for enhancing learning," adds the professor.

Furthermore, there is a need to prepare teachers for an education guided by AI: educators must acquire new digital skills to effectively and relevantly utilize AI in teaching, while AI programmers need to understand how educators work to create sustainable solutions in real-world environments.

Similarly, inclusive and quality data systems must be developed. "As the world moves towards datafication of education, ensuring the quality of provided data should be the primary concern. It is crucial to strengthen states' capacity to enhance data collection and systematization. Advances in AI allow for increased influence of data in managing educational systems."

Professor Collazos emphasized the importance of advancing research on AI in education. "Although it is expected that research on AI in education will increase in the coming years, it is worth noting the challenges the education sector faces in incorporating research findings into both practice and policy formulation."

Professor César Collazos emphasizes the importance of considering ethical and transparency issues in the collection, use, and dissemination of data. "AI raises multiple ethical concerns regarding access to the education system, individual recommendations for each student, the gathering of personal data, responsibility, implications on employment, data confidentiality, and ownership of the data upon which algorithms are based," he pointed out.For the regulation of AI, it will be necessary to conduct public debates on ethical issues, responsibility, transparency, and security," he emphasized.

For further information:

Faculty of Electronic Engineering and Telecommunications

Email: decafiet@unicauca.edu.co