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 - questions the underlying assumptions of data-driven inferences and the possible harms such inferences might lead to. His research is situated in an interdisciplinary and human-centered context and bears implications for various stakeholders. His work has been published at various venues, including CHI, CSCW, ICWSM, IMWUT (UbiComp), Scientific Reports, JMIR, FAccT, among others. He is a recipient of the 2021 Outstanding Doctoral Dissertation Award from the College of Computing at Georgia Tech, Foley Scholarship Award from the GVU Center, Snap Research Fellowship, and a finalist of the Symantec Graduate Fellowship. His research has won the Outstanding Study Design Award at ICWSM, and has been covered by several media outlets, including the New York Times, Vox, CBC Radio, NBC, 11Alive, the Hill, and the Commonwealth Times. He was previously a Senior Researcher at Microsoft Research, Montreal, in the Fairness, Accountability, Transparency, and Ethics in AI (FATE) group, and he completed his Ph.D. in Computer Science from Georgia Tech in 2021. During his Ph.D., he did research internships at Snap Research, Microsoft Research, Max Planck Institute, and Fred Hutch Cancer Research. Earlier, he completed his B.Tech (Hons.) in Computer Science and Engineering from the Indian Institute of Technology (IIT) Kharagpur. He was awarded the NTSE Scholarship by the Govt. of India, and he has six years of overall industry research experience.
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 -