6 papers
Simulating Meaning, Nevermore! Introducing ICR: A Semiotic-Hermeneutic Metric for Evaluating Meaning in LLM Text Summaries
Natalie Perez, Sreyoshi Bhaduri, Aman Chadha
Meaning in human language is relational, context dependent, and emergent, arising from dynamic systems of signs rather than fixed word-concept mappings. In computational settings,…
Levers of Power in the Field of AI
Tammy Mackenzie, Sukriti Punj, Natalie Perez +2
This paper examines how decision makers in academia, government, business, and civil society navigate questions of power in implementations of artificial intelligence. The study ex…
Transforming Expert Knowledge into Scalable Ontology via Large Language Models
Ikkei Itoku, David Theil, Evelyn Eichelsdoerfer Uehara +7
Having a unified, coherent taxonomy is essential for effective knowledge representation in domain-specific applications as diverse terminologies need to be mapped to underlying con…
Whole-Person Education for AI Engineers
Rubaina Khan, Tammy Mackenzie, Sreyoshi Bhaduri +18
This autoethnographic study explores the need for interdisciplinary education spanning both technical and philosophical skills - as such, this study leverages whole-person educatio…
What We Do Not Know: GPT Use in Business and Management
Tammy Mackenzie, Branislav Radeljic, Leslie Salgado +5
This systematic review examines peer-reviewed studies on application of GPT in business management, revealing significant knowledge gaps. Despite identifying interesting research d…
Potential and Perils of Large Language Models as Judges of Unstructured Textual Data
Rewina Bedemariam, Natalie Perez, Sreyoshi Bhaduri +7
Rapid advancements in large language models have unlocked remarkable capabilities when it comes to processing and summarizing unstructured text data. This has implications for the…