FOCUS OF STUDY The article introduces a “processual approach” to analyze skill changes due to digital automation, specifically in the context of the platform economy within the service sector. It examines how automation impacts the skills of workers in conventional taxi services compared to ride-hailing platforms. Through empirical case studies, the authors argue that rather than replacing skills, automation repositions and refocuses them, as workers adapt to algorithmic judgments and manage unpredictable events. The study highlights the importance of understanding the nuanced interplay between technology and human agency in skill development, particularly in service work. POLICY RECOMMENDATION Policymakers should establish skill-related standards through collaborative analysis with platforms and workers, ensuring these standards are incorporated into algorithmic rules. Additionally, promote transparency in algorithmic operations and conduct regular audits to empower frontline workers and enhance their skill development opportunities. FOCUS OF STUDY The article examines the implications of generative AI models in qualitative research, focusing on their potential risks and the need for regulatory solutions. Through qualitative analysis, including interviews with researchers and a review of existing AI policies in various countries, the authors identify key risks affecting reviewers, researchers, and research respondents. These risks include data integrity issues, biases, lack of transparency, and privacy concerns. The study highlights the necessity for a regulatory framework that can manage these risks effectively while promoting the responsible use of generative AI tools in research. The findings suggest that current policies may not adequately address the unique challenges posed by generative AI, emphasizing the importance of tailored interventions. POLICY RECOMMENDATION To mitigate risks associated with generative AI in qualitative research, establish clear regulatory frameworks mandating transparency, bias audits, and accountability measures. Encourage collaboration between researchers and regulatory bodies to ensure ethical standards and effective oversight in the use of AI technologies. SCIENCE, TECHNOLOGY AND INNOVATION POLICY Jack Linzhou Xing, Naubahar Sharif. “A processual approach to skill changes in digital automation: The case of the platform economy in the service sector.” Research Policy (54), 2025. Sivarudran Pillai, Vishnu, and Kira Matus. “Regulatory solutions to alleviate the risks of generative AI models in qualitative research.” Journal of Asian Public Policy (2024): 1-24. 14 Scholarly Showcase
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