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Dancing with the AI Devil: Investigating the Partnership Between Lawyers and AI

Published: 14 March 2020 Publication History

Abstract

As professional users interact with more AI-enabled tools, it has become increasingly important to understand how their work and behaviour are affected by such tools. In this paper, we present the insights that we have gleaned from a qualitative user study conducted with nine of our software's users who are all legal professionals. We find that as our participants become more accustomed to the system they begin to subtly alter their behaviours and interactions with the system. Using their shared experiences, we distill these into insights that may inform the design of similar systems.

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Cited By

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  • (2021)Human-XAI Interaction: A Review and Design Principles for Explanation User InterfacesHuman-Computer Interaction – INTERACT 202110.1007/978-3-030-85616-8_36(619-640)Online publication date: 26-Aug-2021
  • (2020)The Utility of Context When Extracting Entities From Legal DocumentsProceedings of the 29th ACM International Conference on Information & Knowledge Management10.1145/3340531.3412746(2397-2404)Online publication date: 19-Oct-2020

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  1. Dancing with the AI Devil: Investigating the Partnership Between Lawyers and AI

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      cover image ACM Conferences
      CHIIR '20: Proceedings of the 2020 Conference on Human Information Interaction and Retrieval
      March 2020
      596 pages
      ISBN:9781450368926
      DOI:10.1145/3343413
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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      Published: 14 March 2020

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      Author Tags

      1. agreement
      2. legal retrieval
      3. machine learning
      4. user study

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      View all
      • (2021)Human-XAI Interaction: A Review and Design Principles for Explanation User InterfacesHuman-Computer Interaction – INTERACT 202110.1007/978-3-030-85616-8_36(619-640)Online publication date: 26-Aug-2021
      • (2020)The Utility of Context When Extracting Entities From Legal DocumentsProceedings of the 29th ACM International Conference on Information & Knowledge Management10.1145/3340531.3412746(2397-2404)Online publication date: 19-Oct-2020

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