TIM-7070 v1

Sargın, S. (2024). Antecedents and consequences of consumers’ attitudes towards artificial intelligence in social media. Business & Economics Research Journal, 15(3), 229–256. https://doi.org/10.20409/berj.2024.443
This study links consumer attitudes toward AI to performance expectations, engagement, and purchase behavior, offering insights into marketing strategies in the AI-driven social media era.

Noller, J. (2024). Extended human agency: towards a teleological account of AI. Humanities and Social Sciences Communications, 11(1). https://doi.org/10.1057/s41599-024-03849-x
This paper presents AI as an extension of human agency, advocating a teleological view to address bias and opacity in human-machine relations through purposeful interaction.

Doenyas, C. (2024). Human cognition and AI-generated texts: ethics in educational settings. Humanities and Social Sciences Communications, 11(1). https://doi.org/10.1057/s41599-024-04002-4
This paper emphasizes the importance of preserving human cognition and learning in educational contexts.

Singh, A., & Tholia, S. (2023). Artificial Intelligence/Consciousness: being and becoming John Malkovich. AI & SOCIETY: Journal of Knowledge, Culture and Communication, 38(2), 697–706. https://doi.org/10.1007/s00146-022-01470-7
This article examines AI as a mirror for human consciousness, using Being John Malkovich to explore identity, perception, and ethical issues in human-machine interaction.

Deranty, J.-P., & Corbin, T. (2024). Artificial intelligence and work: a critical review of recent research from the social sciences. AI & Society, 39(2), 675–691. https://doi.org/10.1007/s00146-022-01496-x
This review explores AI’s impact on work, highlighting debates on automation, management, and labor politics, shaped by capitalist demands and nationalist pressures in economic deployment.

National University Dissertation Resources (n.d.). Dissertation components: Research writing & analysis. National University.
This resource is designed to guide students in understanding how the various dissertation components align together. The navigation bar on the left of the web page can be used to access resources on research question development.

Daniel, S., Pacheco, M., Smith, B., Burriss, S., & Hundley, M. (2023). Cultivating writerly virtues: Critical human elements of multimodal writing in the age of artificial intelligence. Journal of Adolescent & Adult Literacy, 67(1), 32–38. https://doi.org/10.1002/jaal.1298
This article argues that integrating AI tools with virtuous, multimodal writing practices can enhance human development and communication, offering guidance for writers and educators across contexts.

Saba, L. (2023). Neuroradiology and generative artificial intelligence: The indispensable human element. The Neuroradiology Journal, 36(5), 505. https://doi.org/10.1177/19714009231203429
This article highlights the rapid integration of generative AI in medical fields, particularly radiology and neuroradiology, where AI is increasingly used for diagnostic purposes. The conclusion urges a balanced integration of AI in neuroradiology, emphasizing that while AI enhances diagnostics, preserving the human connection remains essential to patient care.

Casey, C., & Reichmuth, C. (2024). The critical human elements in using artificial intelligence in comparative cognition studies. Comparative Cognition & Behavior Reviews, 19, 73–77. https://doi.org/10.3819/CCBR.2024.190013
This article explores how AI is revolutionizing animal cognition research, particularly in communication studies, while urging ethical reflection on its limitations and impact on understanding nature.