Archaeology Artificial Intelligence
Deep Time: the search for the past through human and machine learning
This will test a unique new approach to identify previously unknown archaeological and historical features on mapping data of a place.
The ideas are based on using Artificial Intelligence (AI) and Collective Intelligence (CI). It will test a combination of crowd-based labelling of Geographic Information System (GIS) and LIDAR data that can be used to train an AI to identify sites of archaeological interest.
It will explore how this can be used to inform local planning decisions whilst making local people central to the process.
The experiment will be an opportunity for local people to help provide information vital to test the software algorithms to identify possible archaeology sites.
WORLD-FIRST: This is the first time Artificial Intelligence (AI) and Collective Intelligence (CI) will have been used in this way! It will also demonstrate how to train crowds to work with novel technology and digital methods to discover more about our local places.
We’re currently assembling a team of 100 who want to join the experiment!