ABSTRACT
Artificial intelligence (AI) poses new challenges for the acquisition of knowledge, also in an academic-scientific context. Objective: Present the information capabilities required for the efficient use of Generative AI technologies for information requirements of an academic-scientific nature. Methodological approach: The research is exploratory, using a qualitative approach and two data collection techniques, namely bibliographic research and observation. Result: Generative AI tools bring new opportunities and challenges to academia and raise concerns about copyright (plagiarism and intellectual property of the content generated by the technology), integrity of science, reliability of research, fairness and ethics (dissemination of bias) and others. Conclusions: To use generative AI tools effectively and strategically, people need to develop five steps (analyzing information needs; analyzing the tool; planning search strategies (devising commands); analyzing synthesized content; using synthesized content) and apply the 18 information literacies associated with these steps.
Keywords:
Scientific communication; Information competence; Artificial Intelligence - AI; ChatGPT; Perplexity AI