TY - GEN
T1 - Exploring the challenges of AI experts to inform AI curriculum
AU - Gautam, Sanjana
AU - Akgun, Mahir
AU - Mitra, Prasenjit
N1 - Publisher Copyright:
© 2022 Owner/Author.
PY - 2023/3/6
Y1 - 2023/3/6
N2 - We examine the major challenges AI experts encounter when deploying AI solutions. We conduct in-depth interviews with AI experts to elicit the frequent challenges they face. Our preliminary results highlight several factors that contribute to the challenging nature of the field, namely data scarcity, uncertainty, ill-structured problems, user behavior, and the application domain. This work indicates important areas that can be targeted during the curriculum design and development process.
AB - We examine the major challenges AI experts encounter when deploying AI solutions. We conduct in-depth interviews with AI experts to elicit the frequent challenges they face. Our preliminary results highlight several factors that contribute to the challenging nature of the field, namely data scarcity, uncertainty, ill-structured problems, user behavior, and the application domain. This work indicates important areas that can be targeted during the curriculum design and development process.
UR - https://www.scopus.com/pages/publications/85149726449
UR - https://www.scopus.com/pages/publications/85149726449#tab=citedBy
U2 - 10.1145/3545947.3576284
DO - 10.1145/3545947.3576284
M3 - Conference contribution
AN - SCOPUS:85149726449
T3 - SIGCSE 2023 - Proceedings of the 54th ACM Technical Symposium on Computer Science Education
SP - 1338
BT - SIGCSE 2023 - Proceedings of the 54th ACM Technical Symposium on Computer Science Education
PB - Association for Computing Machinery, Inc
T2 - 54th ACM Technical Symposium on Computer Science Education, SIGCSE 2023
Y2 - 15 March 2023 through 18 March 2023
ER -