Editor takes the responsibility, manage the peer review process and ensure the quality, originality and relevance of data to the publication’s scope. Based upon the manuscripts content, clarity editor solicit feedback ensuring the research presented. If AI interferes in the process of research at any level starting from data interpretation to writing manuscript, it will be an issue to distinguish the real versus mixed up.

In the era of artificial intelligent (AI), when whole world is visualizing about AI, it’s very obvious one may fall in love with AI and excited about it. No doubt, AI will have major impact across all socio-ecological domains. Then AI is not branded as “Natural” or “Organic” something like that. “AI” is something intervening our natural brain power. It is good for many fields like modeling, decision-making and inferencing, but not in the context of deep thinking power, consciousness and original intelligence which applied in the field of scientific research. The innovative power may be mixed up. A simple example, in house if a person loses the key, AI may trace it to find it out. But you can’t use AI power to write your research paper arranging the references etc.

AI technologies are functioning through the interdisciplinary group. When these working groups are dedicated to bring the advancements, they need to focus on sustainability along with addressing the developmental goal for the particular endeavor. The variety of ethical issues will come on the way of scientific manuscripts need regulatory effort and operationalization. Publishing group may have to follow up and set a pattern for making policy papers related to research initiatives, manuscript writing editing etc.

While writing scientific literature reviews, AI may be useful but then users’ potential memories and investigative power of mind is going to be degraded. In this aspect “Truly Sustainability” meaning of AI is divergences.