Integrating AI in research activity: Evolving directions of research on AI in the discipline of leadership

dc.contributor.authorKaufman, Eric K.en
dc.contributor.authorGoryunova, Elizabethen
dc.contributor.authorBurris-Melville, Tashiekaen
dc.date.accessioned2025-01-09T20:11:21Zen
dc.date.available2025-01-09T20:11:21Zen
dc.date.issued2025-01-09en
dc.description.abstractIn this session, participants will discuss the potential benefits and challenges of engaging AI in research activity, specifically, the issues of data transparency and transferability, continuity in maintenance, the predictive power of the tool and its boundaries/objectivity, and consideration of engaging with AI as an active partner in the process, while remaining human-centric in the objectives and outcomes. Additionally, participants discuss potential directions in research on AI (the ways to approach integration of AI in business, education etc.).en
dc.format.mimetypeapplication/pdfen
dc.identifier.orcidKaufman, Eric [0000-0001-8009-0066]en
dc.identifier.urihttps://hdl.handle.net/10919/124056en
dc.language.isoenen
dc.publisherInternational Leadership Associationen
dc.relation.urihttps://ilaglobalnetwork.org/events/2024-ai-amp-leadership-virtual-summit/en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.titleIntegrating AI in research activity: Evolving directions of research on AI in the discipline of leadershipen
dc.typeConference proceedingen
dc.type.dcmitypeTexten
pubs.organisational-groupVirginia Techen
pubs.organisational-groupVirginia Tech/Agriculture & Life Sciencesen
pubs.organisational-groupVirginia Tech/Agriculture & Life Sciences/Agricultural Leadership and Community Educationen
pubs.organisational-groupVirginia Tech/All T&R Facultyen
pubs.organisational-groupVirginia Tech/Agriculture & Life Sciences/CALS T&R Facultyen

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