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Author Hebah Bubakr and Chris Baber |
| Abstract Sensemaking can involve selecting an appropriate frame to explain a given set of data. The selection of the frame (and the definition of its appropriateness) can depend on the prior experience of the sensemaker as much as on the availability of data. Moreover, artificial intelligence and machine learning systems are dependent on knowledge elicited from human experts, yet, if we trained these systems to perform and think in the same way as a human, most of the tools will be unacceptable to be used as criterion because people consider many personal parameters that a machine should not use. In this paper, we consider how an artificial intelligence system that can be used to filter curriculum vitae (or résumés) might apply frames that result in socially unacceptable decisions. |
