We also developed a framework to break down the articulation of an assumption as premises to a target. Our framework simplifies the articulation process for practitioners in communicating their argument and supporting them in deciding future courses of action.

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Our interviews with practitioners deconstruct vague conceptualizations, inconsistent views, and how an assumption traverses the phases of a typical AI workflow and leads to downstream effects in data pipelines and modeling while possibly begetting more uncertainties.

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We discuss this marginalization of assumptions through the lens of argumentation theory from Informal Logic and frame assumptions as the **premises of an argument** an individual makes or uses to achieve a goal.

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Practitioners are often required to list or explain their assumptions, but ironically, assumptions are often **assumed** to be straightforward to conceptualize, articulate, and interpret.

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Talking About the Assumption in the Room | Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems

In our new #CHI2025 paper, we talk about an overlooked and consequential phenomenon in HCI and responsible AI discourse: confusion around "assumptions" in AI. Paper: dl.acm.org/doi/10.1145/.... Joint work with Faisal M Lalani, Sharifa Sultana, Ishtiaque Ahmed, and Shion Guha @hcdsuoft.bsky.social.

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