AI is being used to tackle high-impact scientific problems, including searching for new antibiotics to combat antibiotic-resistance and predicting what foreign substances the immune system can recognize as invaders. Amidst the excitement, it is important to keep in mind the gaps and risks of how AI is applied in science. Recognizing these risks opens up new opportunities and can prevent us from being caught off guard by shortcomings. Missing Data A recurring problem within data science is tha...
