TY - GEN
T1 - Future of Workplace Conversational AI-driven Personal Assistants
T2 - 15th Annual Meeting of the Forum for Information Retrieval Evaluation, FIRE 2023
AU - Saha, Koustuv
AU - Chandrasekharan, Eshwar
N1 - Publisher Copyright:
© 2023 Owner/Author.
PY - 2023/12/15
Y1 - 2023/12/15
N2 - This proposal aims to provide an empirical understanding of how conversational AI-driven personal assistants can operate effectively and ethically in the workplace. In particular, we will carefully design and build a prototype for a new AI-powered workplace assistant called SAILOR, conduct user studies to understand user expectations and concerns around AI-driven personal assistants like SAILOR, and develop a conceptual framework to evaluate the benefits and harms of human-centered AI systems, ensuring their deployment aligns with high standards of functionality and ethics. In addition, we seek to provide a comprehensive set of guidelines and recommendations for the responsible design of such tools. Our findings will have broad implications for the ethical design, development, and deployment of AI-driven systems for human-centered applications like assisting workers in the workplace.
AB - This proposal aims to provide an empirical understanding of how conversational AI-driven personal assistants can operate effectively and ethically in the workplace. In particular, we will carefully design and build a prototype for a new AI-powered workplace assistant called SAILOR, conduct user studies to understand user expectations and concerns around AI-driven personal assistants like SAILOR, and develop a conceptual framework to evaluate the benefits and harms of human-centered AI systems, ensuring their deployment aligns with high standards of functionality and ethics. In addition, we seek to provide a comprehensive set of guidelines and recommendations for the responsible design of such tools. Our findings will have broad implications for the ethical design, development, and deployment of AI-driven systems for human-centered applications like assisting workers in the workplace.
KW - future of work
KW - generative AI
KW - information workers
KW - workplace
UR - http://www.scopus.com/inward/record.url?scp=85185397012&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85185397012&partnerID=8YFLogxK
U2 - 10.1145/3632754.3632939
DO - 10.1145/3632754.3632939
M3 - Conference contribution
AN - SCOPUS:85185397012
T3 - ACM International Conference Proceeding Series
SP - 133
EP - 135
BT - FIRE 2023 - Proceedings of the 15th Annual Meeting of the Forum for Information Retrieval Evaluation
A2 - Ganguly, Debasis
A2 - Majumdar, Srijoni
A2 - Mitra, Bhaskar
A2 - Gupta, Parth
A2 - Gangopadhyay, Surupendu
A2 - Majumder, Prasenjit
A2 - Majumder, Prasenjit
PB - Association for Computing Machinery
Y2 - 15 December 2023 through 18 December 2023
ER -