While the positive effects of large language models dominate scientific applications, proactive regulations to reduce the risk of disinformation are gaining importance.
Big Language Models, such as Chatbot, have the potential to transform the scientific system. This is the clear outcome of a survey. However, as we all know, ChatGPT has been in the spotlight since its inception.
Respondents underline that the benefits of scientific practice greatly exceed the drawbacks. Furthermore, they employ the important task of science and politics to aggressively battle potential distortion generated by LLMs in order to maintain scientific research’s legitimacy. As a result, they advocate for proactive regulation, transparency, and new ethical norms in the use of generative AI.
According to experts, the good impacts are especially visible in the textual realm of academic work. Big language models will also improve the efficiency of research operations in the future by automating numerous tasks linked to producing and publishing publications. Similarly, they can relieve scientists from administrative reporting and research proposal procedures, both of which have grown dramatically in recent years.
LLMs, according to participants, have the potential to generate erroneous scientific claims that appear to be indistinguishable from legitimate study findings at first glance. This misinformation can propagate in public debates and affect governmental decisions, thereby harming society.
The bottom line is that researchers will be able to free up more time and create new opportunities as they refocus their topic information and effectively communicate it to a wider audience.
