Conference Session

Environmental Engineering Division (ENVIRON) Technical Session 2

Collection

2023 ASEE Annual Conference & Exposition

Authors

Andrew Schulz, Georgia Institute of Technology ; Suzanne Stathatos, The California Institute of Technology; Cassandra Shriver, Georgia Institute of Technology; Roxanne Moore, Georgia Institute of Technology

Tagged Divisions

Environmental Engineering Division (ENVIRON)

, iNaturalist, and Merlin Bird ID show the rise andregularity of crowdsourced data. The rise of public-accessible machine-learning-based productslike ChatGPT, Dall-e, and iPhone-unlocking facial recognition illustrate the emergence ofartificial intelligence (AI) across vast public sectors. AI is predicted to affect global productivity[3], to promote/expose problems in diversity, equity, and inclusion [4], to impact conservationand biodiversity monitoring [5], and to increase the ability to do climate monitoring andforecasting [2]. The 2020 Nature Communication study [2] suggests that AI will influence theability to meet all 17 Sustainability Development Goals (SDGs) set out in their 2030 Agenda [6].Vinuesa, et. al. illustrate and discuss how AI can