AI development will innovate knowledge sharing in many ways: it automatizes literature reviews and develops knowledge graphs, making information more accessible; it develops better communication tools that enable collaboration between scientists and researchers by translating and summarizing texts. Virtual teamwork in virtual workspaces, enabled by AI, including intelligent scheduling, is possible.

It democratizes access by providing open platforms and low-cost tools. AI-powered innovation happens at the ideation level as well as predictive model development. More importantly, AI will enable massive collaboration among a wide group of stakeholders who are informed to consider the ethics and keep monitoring for compliance while bridging the gaps that exist.

Indeed, while there might be some concerns about data privacy and bias in decision-making, AI has the potential to really revolutionize scientific research on central qualities of efficiency, creativity, and overall impact.