COSMOS Research Center hosted the UA Little Rock Provost Leadership Council meeting on August 21, 2025, where Prof. Nitin Agarwal, Jerry L. Maulden-Entergy Endowed Chair, Donaghey Distinguished Professor, and Founding Director of the COSMOS Research Center delivered an invited talk titled “Fighting Fire with Fire: Developing AI-enhanced Methodologies to Combat AI-enhanced Cognitive Threats”.
In his talk, Prof. Agarwal shed light on the rapidly evolving landscape of AI-driven cognitive threats, including information campaigns, digital manipulations, and coordinated influence operations that are increasingly amplified by generative AI technologies. He explained how malicious actors exploit advanced machine learning and synthetic media tools to manipulate online narratives, distort public perception, and influence decision-making processes at scale.
Prof. Agarwal highlighted how research at COSMOS is developing and deploying AI-enhanced analytical frameworks to detect, model, and counter these emerging challenges. Drawing from COSMOS’s pioneering work in social computing, network science, cognitive security, AI, and social cyber forensics, he illustrated how advanced analytical and visualization techniques can be used to identify patterns of deception, analyze coordination behaviors, and promote digital trust and transparency.
The talk emphasized the importance of a “fight fire with fire” philosophy using the power of AI itself to confront and neutralize AI-driven cognitive threats. Prof. Agarwal underscored the significance of building cognitive resilience within institutions and societies by combining cutting-edge research, ethical AI design, and interdisciplinary collaboration.
The session fostered meaningful dialogue among UA Little Rock’s academic and administrative leaders, encouraging cross-disciplinary initiatives to address AI-enabled societal challenges and safeguard the integrity of digital ecosystems.
Prof. Agarwal’s work continues to position UA Little Rock and COSMOS at the forefront of AI research for cognitive security, advancing the understanding of how to safely tap into AI’s tremendous potential.