KISDI Explores Economic Transformation in the AI Era through a Special Session at the 2026 KER International Conference (detail)

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KISDI Hosts a Special Session at the 2026 Korean Economic Review (KER) International Conference

KISDI Explores Economic Transformation in the AI Era through a Special Session at the 2026 KER International Conference
Discussing AI-Era Economic Issues Including Skill Bias, Information Market Distortions, and AI Training Governance

KISDI Special Session: *Economic Inquiries in the AI Age: Perspectives from KISDI
▲ The Skill Bias of Generative AI through Complementarity* (Ahram MOON, KISDI)
▲ Facts for Sale: Strategic Slant in Attention Markets* (Sora Yeon, KISDI)
▲ Creator Responses to Default Rules for Generative AI Training* (Jaekyung Shin, KISDI)
▲ Long Bayesian Persuasion* (Daehong Min, KISDI)

The Korea Information Society Development Institute (KISDI, President Sangkyu Rhee) hosted a special session titled *Economic Inquiries in the AI Age: Perspectives from KISDI* at the **2026 Korean Economic Review (KER) International Conference**, held on June 22 at the Jeju Halla Convention Center. The session presented recent research examining the economic implications of generative AI for labor markets, information markets, and the digital content ecosystem.

The session explored how generative AI is reshaping labor markets, information markets, creative industries, and the production and distribution of information. Discussions focused on emerging economic issues in the AI era, including skill-biased technological change, information distortion, creators' rights, and the reliability of information.

Ahram MOON, Fellow at KISDI, presented *The Skill Bias of Generative AI through Complementarity*. Her presentation argued that generative AI should be understood not only as a substitute for human labor but also as a complementary technology whose benefits are distributed unevenly across workers depending on skill level, gender, and educational attainment. She proposed incorporating a measure of AI complementarity alongside existing AI exposure indicators to better capture these differences. The analysis suggests that highly skilled workers benefit more from AI augmentation, while women and workers with lower educational attainment remain relatively vulnerable, highlighting the need for policy discussions on developing more labor-friendly AI.

Sora Yeon, Associate Research Fellow at KISDI, presented *Facts for Sale: Strategic Slant in Attention Markets*. Using two controlled experiments, the study examined whether competition for users' attention encourages information providers to selectively emphasize particular aspects of issues and how such strategically framed content, when distributed through personalized algorithms, influences users' factual beliefs and policy preferences.

Jaekyung Shin, Associate Research Fellow at KISDI, presented *Creator Responses to Default Rules for Generative AI Training*. Drawing on online experimental data from 1,210 creators in the United States and the United Kingdom, the study examined how different default rules governing the use of copyrighted works for AI training—specifically opt-in and opt-out systems—affect creators' motivation, perceptions of rights protection, and willingness to allow AI training. The findings show that opt-in systems requiring explicit consent produced the highest levels of both creative motivation and perceived rights protection, while royalty payments alone were insufficient to substitute for explicit consent. The study emphasizes that the design of consent mechanisms should be a central consideration in future AI training governance.

Daehong Min, Fellow at KISDI, presented *Long Bayesian Persuasion*. His research analyzed how the long-term persuasion strategies of multiple information providers influence decision-making under uncertainty. The study examined how information providers' strategies and users' expectations evolve through repeated interactions, offering insights into the implications of AI-driven information environments for information reliability and decision quality.

Through this special session, KISDI sought to examine the wide-ranging economic and social changes associated with the expansion of AI. Building on continued collaboration with the academic community, KISDI plans to further identify and develop policy agendas needed to address emerging challenges in the AI era.

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KISDI Explores Economic Transformation in the AI Era through a Special Session at the 2026 KER International Conference