“Algorithy Aversion”
Algorithms have penetrated our personal and professional lives with advanced data analytics, prescriptive recommendations, and predictive forecasts. However, many organizations and individuals remain reluctant to forfeit their decision-making agency and hand over the reins to machines. In this presentation, Dr. Kipp will discuss algorithm aversion, its history, how it manifests in different settings, the outcomes of algorithm aversion, and how to potentially mitigate algorithm aversion’s impact on decision quality.
Speaker: Dr. Peter Kipp, Assistant Professor, G. Brint Ryan College of Business at UNT.
AI Security: An Adaptive System to Enhance Threat Detection and Incident Response
Nowadays, protecting IT systems and their valuable data from cyber attacks requires more advanced and proactive strategies. Conventional systems, relying on manually coded rules and signatures, often fail to detect cyber threats due to the agile and dynamic nature of malware and hacking techniques. To address this problem, Artificial Intelligence (AI) security has been applied to analyze big datasets in real-time to identify behaviors and patterns that may elude traditional rule-based systems. We present an overview of key AI technologies to build adaptive AI security to autonomously respond to potential threats in real-time, assess practical challenges to build the systems, and provide recommendations for production deployments to meet the demands of today’s dynamic threat landscape.
Speaker: Dr. Son Bui, Associate Professor, Marketing and Business Analytics at Texas A&M University-Commerce.
“Topic TBD"
Speaker: Dr. Ming Li, , Associate Professor, Compute Science and Engineering at UNT.