Responsible Use of Artificial Intelligence in Research – Lubar College of Business

Source Domain: uwm.edu

Here is a summarized list of key points from the provided article:

Impact of AI on Productivity and Research: Large language models (LLMs) and AI are generating an unprecedented volume of scholarly work, raising questions about responsible use in research while maintaining integrity and accountability.
Challenges of AI Use in Academia: The panel will debate the implications of AI-assisted research, focusing on enhancing or potentially harming the scientific discovery process and its effects on various stakeholders, including readers, scholars, reviewers, authors, and editors.
Need for Editorial Oversight: There is a pressing need for editorial supervision regarding the use of AI, particularly concerning data analysis and manuscript development to ensure research transparency and quality.
Transparency and Disclosure: The panel will explore appropriate levels of transparency around the use of AI in research, including when, how, and where AI has been utilized in submissions or underlying research.
Role of AI in Maintaining Journal Standards: The discussion will focus on whether AI use is harmonious or detrimental to preserving the quality and standards of academic journals that value human voice and research transparency.
Panelists:
- Dr. Daniel Muzio: Chair of the Organization and Management Editors Network, with extensive academic and editorial experience.
- Dr. Corinne Post: Recognized expert in workplace diversity, with research highlighted in prestigious media and publications, and a contributor at Forbes.
- Dr. Christopher Wickert: Professor of CSR at Vrije Universiteit Amsterdam, focusing on sustainability and business in society, and a prolific researcher in management journals.
Event Details: Registration is required for this sponsored event by the M&I Center for Business Ethics.