Abstract
This overview article explores the prospects and promises of new technologies for developing conversational software to aid, assist and advise people in personal and organizational decision situations. The quest for conversational decision advisers began in the 1970s with the development of interactive, computing systems like the Hewlett-Packard 2000 Access Time- Share systems. With the advent of Cloud-based, Artificial Intelligence development environments, the capabilities needed to develop conversational software are increasingly available and easy to use. Hence, it is feasible to develop decision adviser (DA) bots and the bots are easier to deploy. Bots can be built for action taking and for question and answer dialogs. DA bots can be deployed for use in both structured and semi-structured decision situations. DA bots can perform increasingly complex tasks. Overall, more exploratory design science research is needed to improve our understanding of the design, development, and deployment of DA bots for use by managers, customers, and clients.
Recommended Citation
Power, Daniel; Kaparthi, Shashidhar; and Mann, Arti, "Building Decision Adviser Bots" (2019). MWAIS 2019 Proceedings. 14.
https://aisel.aisnet.org/mwais2019/14