Across disciplines, methods and tools broadly characterized as Artificial Intelligence (AI) are increasingly adopted for research and education.  With their help, researchers can now explore many previously untenable problems, and dramatically speed up the research process.  From literature review to statistics gathering, from data analysis to software generation, AI can accomplish such tasks in shorter times and wider scopes that what were possible in the past.  The new gained speed and scale of knowledge generation, however, come with risks of potential pitfalls.  It is critical, while challenging, that researchers understand the nature and implications of the AI tools they adopt to bear responsibility for the authenticity, ethicality, and legal implications of their research.  In this talk, I will discuss recent case studies, best practices, policy recommendations, and research efforts around research misconducts, intellectual property protection, and social impacts due to the use of AI in research.

Presenter – Kuang-Ching Wang, C. Tycho Endowed Chair of Collaborative Computing, Provost Distinguished Professor and Associate Director of Research WFIC

Target audience – Faculty, staff, postdocs and students

Location – 12pm-1pm; via Zoom