Working with Beliefs: AI Transparency in the Enterprise. Chander, A., Wang, J., Srinivasan, R., Uchino, K., & Chelian, S. IUI 2018 Workshop on Explainable Smart Systems (ExSS), 2018. abstract bibtex Enterprises are increasingly recognizing that they must integrate AI into all of their operational workflows to remain competitive. As enterprises consider competing AIs to support a particular business function, explainability is an advantage which gets a candidate AI a foot in the door. Our experience working with enterprise decision makers considering AI in a decision augmentation role reveals an additional and possibly more crucial aspect of choosing an AI: the ability of decision makers to interact fluidly with an AI. Fluid interactions are necessary when an AI's recommendation does not match a human decision maker's existing beliefs. Interactions that allow the (typically non-technical) human to edit the AI, as well as allow the AI to guide the human, enable a collaborative exploration of the data that leads to common ground where both the AI and the human beliefs have been updated. We outline an illustrative example from our experience that models this dance. Based on our experiences, we suggest requirements for AI systems that would greatly facilitate their adoption in the enterprise.
@article{
title = {Working with Beliefs: AI Transparency in the Enterprise},
type = {article},
year = {2018},
keywords = {Accessible AI,Author Keywords AI,Beliefs,Explainable AI,HCI),I2m Artificial Intelligence,Interactive AI,Miscellaneous,Transparent AI,Tunable AI},
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notes = {Las empresas necesitan integrar AI en sus flujos de trabajo para ser más competitivos. Que los sistemas AI incluyan explicaciones constituye una gran ventaja a la hora de adoptar ese sistema en la empresa, ya que las explicaciones ayudan en la toma de decisiones. Un sistema AI en una empresa tiene que aprender y ser consciente de las creencias institucionales y ayudar en la actualización de las mismas para que estén disponibles para el resto de usuarios.<br/>Los pilares de un sistema AI transparente: tiene que ser accesible, explicable, interactivo y ajustable},
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abstract = {Enterprises are increasingly recognizing that they must integrate AI into all of their operational workflows to remain competitive. As enterprises consider competing AIs to support a particular business function, explainability is an advantage which gets a candidate AI a foot in the door. Our experience working with enterprise decision makers considering AI in a decision augmentation role reveals an additional and possibly more crucial aspect of choosing an AI: the ability of decision makers to interact fluidly with an AI. Fluid interactions are necessary when an AI's recommendation does not match a human decision maker's existing beliefs. Interactions that allow the (typically non-technical) human to edit the AI, as well as allow the AI to guide the human, enable a collaborative exploration of the data that leads to common ground where both the AI and the human beliefs have been updated. We outline an illustrative example from our experience that models this dance. Based on our experiences, we suggest requirements for AI systems that would greatly facilitate their adoption in the enterprise.},
bibtype = {article},
author = {Chander, Ajay and Wang, Jun and Srinivasan, Ramya and Uchino, Kanji and Chelian, Suhas},
journal = {IUI 2018 Workshop on Explainable Smart Systems (ExSS)}
}
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