[PDF][PDF] IS AI GROUND TRUTH REALLY TRUE? THE DANGERS OF TRAINING AND EVALUATING AI TOOLS BASED ON EXPERTS'KNOW-WHAT.

S Lebovitz, N Levina, H Lifshitz-Assaf - MIS quarterly, 2021 - researchgate.net
Organizational decision-makers need to evaluate AI tools in light of increasing claims that
such tools outperform human experts. Yet, measuring the quality of knowledge work is …

Robotic role theory: an integrative review of human–robot service interaction to advance role theory in the age of social robots

M Blaurock, M Čaić, M Okan, AP Henkel - Journal of Service …, 2022 - emerald.com
Purpose Social robots increasingly adopt service roles in the marketplace. While service
research is beginning to unravel the implications for theory and practice, other scientific …

[PDF][PDF] The Recruitment and Selection HR process through Artificial Intelligence: an analysis of the aspects of acceptance, validity and interaction with the human …

A Rezzani - Proceedings http://ceur-ws. org ISSN, 2021 - ceur-ws.org
The problem I intend to address in my industrial PhD is the lack of data regarding the
acceptance and experience of users involved in the transformation of recruitment and …

[PDF][PDF] Machine learning for ARUP: Time to redefine the Ground Truth

S Stroppiana Tabankov - 2022 - researchgate.net
Research accepts that ML-based AI tools' accuracy is a defining characteristic for AI
implementation. Yet, the understanding of accuracy in relation to the “ground truth” remains …

Organizations and stakeholders: three papers on data leveraging for AI implementation

SS Tabankov - 2022 - wrap.warwick.ac.uk
Leveraging data for AI implementation requires complex managerial approaches and
sophisticated technology arrangements that ideally bridge the gaps between the needs of …

[PDF][PDF] Cultivating data: Practices of coping with imperfect representations in machine learning development

T Karacic, AV Sergeeva, M Huysman - 2021 - research.vu.nl
Data are often imperfect in representing the phenomena they stand for. We study how a
machine learning developer team tackles this challenge as they work on capturing, by data …