The intersection of Artificial Intelligence and Geographic Information Science (GIS) continues to create opportunities in the realm of spatial analysis. Whether it is utilizing satellite images to expand mapping capabilities, determining optimal layout for precision agriculture, or analyzing how weather affects specific regions of a city, the AI+GIS use-cases have direct impact on our society.
Examine the ethical and scientific implications of utilizing a scientific AI training dataset or AI process used in GIS with applications toward scientific discovery.
If you choose to focus on training data, you may choose multiple examples of AI training sets to support your reasoning or focus on a single example. The data must be publicly available and published by a reputable source. Judges should be able to access the data set(s).
If you choose to focus on AI algorithms or processes, detail the steps taken for your analysis of how the process was engineered and how it is used.
Choose a particular ethical framework for your discussion.
Optional: Demonstrate an AI model trained with the dataset to support arguments for responsible and accurate AI applications in scientific research.
Your submission should be crafted for a general audience as much as possible. Remember that we are open to creative formats for your work.
Guidance
We need to think early and often about the potential biases inherent in AI algorithms and training data. Ultimately you need to explore what needs to be done to demonstrate that the AI processor training data can be trusted to deliver rigorous and ethical science over time. You need to define specifically what you mean by rigorous and ethical.
The suggestions below are not meant to be prescriptive but are there to help you think about how to frame your discussion.
Background Material