Using human-in-the-loop and explainable AI to envisage new future work practices

Konstantinos Tsiakas, Dave Murray-Rust

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

5 Citations (Scopus)
475 Downloads (Pure)

Abstract

In this paper, we discuss the trends and challenges of the integration of Artificial Intelligence (AI) methods in the workplace. An important aspect towards creating positive AI futures in the workplace is the design of fair, reliable and trustworthy AI systems which aim to augment human performance and perception, instead of replacing them by acting in an automatic and non-transparent way. Research in Human-AI Interaction has proposed frameworks and guidelines to design transparent and trustworthy human-AI interactions. Considering such frameworks, we discuss the potential benefits of applying human-in-the-loop (HITL) and explainable AI (XAI) methods to define a new design space for the future of work. We illustrate how such methods can create new interactions and dynamics between human users and AI in future work practices.

Original languageEnglish
Title of host publicationProceedings of the 15th International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2022
PublisherACM
Pages588-594
Number of pages7
ISBN (Electronic)978-1-4503-9631-8
DOIs
Publication statusPublished - 2022
Event15th International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2022 - Corfu, Greece
Duration: 29 Jun 20221 Jul 2022

Publication series

NameACM International Conference Proceeding Series

Conference

Conference15th International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2022
Country/TerritoryGreece
CityCorfu
Period29/06/221/07/22

Keywords

  • Explainable AI
  • Future of Work
  • Human-AI Interaction
  • Human-in-the-Loop

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