358 citations · 605 across the 7 of their papers we have counts for
8 papers
A Design Science Blueprint for an Orchestrated AI Assistant in Doctoral Supervision
Teo Susnjak, Timothy R. McIntosh, Tong Liu +1
This study presents a design science blueprint for an orchestrated AI assistant and co-pilot in doctoral supervision that acts as a socio-technical mediator. Design requirements ar…
Over the Edge of Chaos? Excess Complexity as a Roadblock to Artificial General Intelligence
Teo Susnjak, Timothy R. McIntosh, Andre L. C. Barczak +4
In this study, we explored the progression trajectories of artificial intelligence (AI) systems through the lens of complexity theory. We challenged the conventional linear and exp…
Automating Research Synthesis with Domain-Specific Large Language Model Fine-Tuning
Teo Susnjak, Peter Hwang, Napoleon H. Reyes +3
This research pioneers the use of fine-tuned Large Language Models (LLMs) to automate Systematic Literature Reviews (SLRs), presenting a significant and novel contribution in integ…
From COBIT to ISO 42001: Evaluating Cybersecurity Frameworks for Opportunities, Risks, and Regulatory Compliance in Commercializing Large Language Models
Timothy R. McIntosh, Teo Susnjak, Tong Liu +3
This study investigated the integration readiness of four predominant cybersecurity Governance, Risk and Compliance (GRC) frameworks - NIST CSF 2.0, COBIT 2019, ISO 27001:2022, and…
Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial Intelligence
Timothy R. McIntosh, Teo Susnjak, Nalin Arachchilage +3
The rapid rise in popularity of Large Language Models (LLMs) with emerging capabilities has spurred public curiosity to evaluate and compare different LLMs, leading many researcher…
From Google Gemini to OpenAI Q* (Q-Star): A Survey of Reshaping the Generative Artificial Intelligence (AI) Research Landscape
Timothy R. McIntosh, Teo Susnjak, Tong Liu +2
This comprehensive survey explored the evolving landscape of generative Artificial Intelligence (AI), with a specific focus on the transformative impacts of Mixture of Experts (MoE…
ChatGPT: The End of Online Exam Integrity?
Teo Susnjak
This study evaluated the ability of ChatGPT, a recently developed artificial intelligence (AI) agent, to perform high-level cognitive tasks and produce text that is indistinguishab…
MSD-Kmeans: A Novel Algorithm for Efficient Detection of Global and Local Outliers
Yuanyuan Wei, Julian Jang-Jaccard, Fariza Sabrina +1
Outlier detection is a technique in data mining that aims to detect unusual or unexpected records in the dataset. Existing outlier detection algorithms have different pros and cons…