activity
20232025
most citedFrom COBIT to ISO 42001: Evaluating Cybersecurity Frameworks for Opportunities, Risks, and Regulatory Compliance in Commercializing Large Language Models

82 citations · 184 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CY2025

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…

cs.AI2024★ 2 cited

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…

cs.CY2024★ 82 cited

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…

cs.AI2024★ 58 cited

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…

cs.AI2023★ 42 cited

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…