In the era of “fake news”, false and misleading information has become a disease, spreading rapidly through internet channels and leading to a decrease in the public’s trust in science. So what are scientists doing about it? In this episode, we speak with Dr. Manil Maskey to learn how stewardship of datasets and training models plays a key role in ensuring scientific integrity in the field of remote sensing. Using AI datasets and training models as an example, we look at who is responsible for stewardship, how data is quality-controlled, and how stewardship impacts scientific integrity, particularly as technology evolves over time.
Down To Earth: A podcast for Geoscientists by Geoscientist