Kimon Kieslich

Papers

Total Citations

102

H-Index

About

Kimon Kieslich is a leading researcher at the intersection of artificial intelligence, public opinion, and political communication. His work centers on understanding how societies perceive and respond to the risks and opportunities of emerging technologies. Kieslich’s most significant contribution is the development of the **Threats of Artificial Intelligence Scale (TAI)** , a validated psychometric instrument that systematically measures public concerns about AI across different application domains. His foundational 2021 paper on the TAI scale has garnered **97 citations**, establishing it as a key reference for scholars studying AI risk perception. By moving beyond abstract fears to domain-specific threats—such as in medicine or the economy—Kieslich provides a nuanced framework for analyzing how context shapes technological anxiety. His research is vital for policymakers and technologists seeking to align AI development with societal values. Through rigorous scale development and empirical testing, Kieslich has given the field a precise tool to gauge the pulse of public wariness, making him a pivotal voice in the ongoing dialogue about responsible AI governance and trust in automation.