Recent advances in artificial intelligence (AI) have introduced transformative capabilities that are revolutionizing the process of scientific research and communication. AI tools can assist researchers in designing studies, analyzing data, and drafting manuscripts, enhancing both efficiency and analytical rigor. This allows researchers to focus cognitive resources on higher-level conceptualization and interpretation. Furthermore, AI holds promise for steering research towards more impactful directions by aiding in the identification of critical knowledge gaps and research questions with potential societal benefits. Collaboration platforms powered by AI facilitate connections between researchers across domains and institutions, accelerating discovery and promoting convergence around global health priorities. However, responsible development and application of AI in research is essential. Transparency, explainability, data privacy, and human oversight must remain priorities to ensure ethical AI practices. While AI offers transformative capabilities, researchers must maintain agency and responsibility over the scientific process. With thoughtful governance and participatory design, AI can become a powerful tool for advancing science in the service of society. Overall, AI ushers in new potentials for improving the rigor, relevance, and reach of scientific inquiry. Yet realization of this potential necessitates proactive efforts to address emerging risks and challenges.
Research design and writing of scholarly articles: new artificial intelligence tools available for researchers
Fenza G.;
2024
Abstract
Recent advances in artificial intelligence (AI) have introduced transformative capabilities that are revolutionizing the process of scientific research and communication. AI tools can assist researchers in designing studies, analyzing data, and drafting manuscripts, enhancing both efficiency and analytical rigor. This allows researchers to focus cognitive resources on higher-level conceptualization and interpretation. Furthermore, AI holds promise for steering research towards more impactful directions by aiding in the identification of critical knowledge gaps and research questions with potential societal benefits. Collaboration platforms powered by AI facilitate connections between researchers across domains and institutions, accelerating discovery and promoting convergence around global health priorities. However, responsible development and application of AI in research is essential. Transparency, explainability, data privacy, and human oversight must remain priorities to ensure ethical AI practices. While AI offers transformative capabilities, researchers must maintain agency and responsibility over the scientific process. With thoughtful governance and participatory design, AI can become a powerful tool for advancing science in the service of society. Overall, AI ushers in new potentials for improving the rigor, relevance, and reach of scientific inquiry. Yet realization of this potential necessitates proactive efforts to address emerging risks and challenges.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.