What truly defines this era is the fundamental shift in how these systems have transitioned from calculators of language to actors of intent. We have reached an inflection point with the emergence of agentic AI (AAI) built on fundamental and generative AI building blocks.
Topic
natural language processing
Samuel, Thakuriah Lead Discussions at RAD Collaboratory
Professors Samuel and Thakuriah participated in the inaugural 𝐑𝐮𝐭𝐠𝐞𝐫𝐬 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐚𝐧𝐝 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 (𝐑𝐀𝐃) 𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐨𝐫𝐲 symposium on 3/24/26 – an amazing event that has sparked much interest in collaborative research with AI as a matchmaking catalyst.
Samuel and Colleagues Examine the Rise of AI Phobia
Contemporary public discourse surrounding artificial intelligence (AI) often exhibits a disproportionate level of fear and confusion relative to AI’s factually documented capabilities and implications. This study examines how the systematic use of alarmist and fear-inducing language by news media outlets contributes to negative public perceptions of AI.
Samuel Researches Gambling Harm Reduction in Online Spaces
Our exploratory analyses suggest that this reddit forum provides important information on how users communicate motivations to gamble, interpretations of gambling experiences, and define potential harms related to gambling online as well as how to avoid or remedy those harms.
Research: The Dark Side of Sentiment Analysis: An Exploratory Review Using Lexicons, Dictionaries, and a Statistical Monkey and Chimp
Sentiment analysis (SA) uses a combination of natural language processing (NLP) methods to analyze a text to estimate the implied sentiment.
Interactive workshop on textual analytics, natural language processing held Nov. 12
The session will consist of a 15-minute presentation, followed by a 30-minute interactive work-along demonstration for textual analytics using R-Studio.