AI and its Effects on Scientific Data
Research and scientific data can be extremely valuable and sensitive to outside influences. Even a simple bias can wildly skew data in the incorrect direction, leading to false conclusions and untrustworthy results. AI has dozens of uses in scientific fields, though those uses shift based on the field and scientist using the machine. In the subdisciplines of environmental sciences, you are more commonly going to find AI used for tasks such as “air and water quality monitoring, climate change modeling, biodiversity assessment, and disaster management” (Alotaibi, Nassif 2024). On the other hand, in fields that relate to human health and well-being, you would be more likely to find AI completing tasks related to organic chemistry, catalysis research, and protein modeling. AI has wide and varied uses in the plethora of scientific fields and disciplines that simply have not been discovered or even thought about before. The existence of AI should be to make the lives of hu...