TIM-7074 v1

Garrett, M. A. (2024). Is artificial intelligence the great filter that makes advanced technical civilisations rare in the universe? Acta Astronautica, 219, 731–735. https://doi.org/10.1016/j.actaastro.2024.03.052

• This article explores the hypothesis that the development of artificial intelligence could be a critical factor limiting the longevity of advanced civilizations.

Bales, A., D’Alessandro, W., & Kirk, G. C. D. (2024). Artificial Intelligence: Arguments for Catastrophic Risk. Philosophy Compass, 19 (2), 1–13. https://doi.org/10.1111/phc3.12964

• This paper reviews influential arguments suggesting that AI could pose catastrophic risks, focusing on the problem of power-seeking behaviors in AI systems.

Lim, A., & Nicolaides, A. (2024). Becoming-with-AI: Rethinking Professional Knowledge Through Generative Knowing. Reflective Practice, 25 (3), 391–405. https://doi.org/10.1080/14623943.2024.2321227

• This article examines how the advent of human-level artificial general intelligence and the possibility of a technological singularity necessitate a rethinking of professional knowledge.

Mona Sloane. (2024). Controversies, contradiction, and “participation” in AI. Big Data & Society, 11, 1-5. https://doi.org/10.1177/20539517241235862

• This paper examines the narratives and scripts that shape contemporary AI development, focusing on participation and societal implications.

Ali, A., & Pandya, S. (2021). A Four Stage Framework for the Development of a Research Problem Statement in Doctoral Dissertations. International Journal of Doctoral Studies, 16 (1), 469–485. https://doi.org/10.28945/4839

• This study offers a methodological framework to help doctoral mentors guide students in developing clear and effective research problem statements, which are essential for the success of a dissertation. By addressing common challenges and using a structured approach, the study supports both mentors and students in overcoming early writing obstacles and encourages further research into applying this method across other dissertation sections.

Damaskinidis, G., & Christodoulou, A. (2019). Writing research proposals for social sciences and humanities in a higher education context. Cambridge Scholars Publishing.

• This resource provides a clear, step-by-step guide for writing a research proposal, covering everything from identifying a research problem to developing questions, methodology, and structure for academic success.

Williams, M., Wiggins, R., & Vogt, P. (2021). Beginning quantitative research. (Vols. 1-0). SAGE Publications Ltd.

• This resource provides a detailed overview of quantitative methods used in research.

Hurst, A. L. (2023). Introduction to Qualitative Research Methods: A Helpful Guide for Undergraduates and Graduate Students in the Social Sciences . Oregon State University.

• This is a practical guide about qualitative research methods.

Successful Writing Section 11.2, Steps in Developing a Research Proposal. Authored by: Anonymous.

• This is a resource that helps students draft research proposals and research questions and also includes exercises.

Schoonenboom, J. (2023). The Fundamental Difference Between Qualitative and Quantitative Data in Mixed Methods Research. Forum Qualitative Sozialforschung Forum: Qualitative Social Research, 24(1). https://doi.org/10.17169/fqs-24.1.3986

• This article argues that qualitative and quantitative data are fundamentally distinct in structure and condensation, and that true mixed methods research requires analyzing both types separately, with mixing occurring in the analysis rather than in the data collection.

Phillips, N., Kalvapalle, S., & Kennedy, M. (2024). Beyond the Turing Test: Exploring the implications of generative AI for category construction. Organization Theory (2631-7877), 5(3), 1–20. https://doi.org/10.1177/26317877241275113

• This paper discusses how the increasing creativity and social competence exhibited by generative AI impacts processes of social categorization.

Rawas, S. (2024). AI: the future of humanity. Discover Artificial Intelligence, 4 (1), 1-5. https://doi.org/10.1007/s44163-024-00118-3

• This article provides a comprehensive exploration of AI's implications, applications, challenges, and opportunities, investigating its revolutionary potential across numerous sectors and addressing global concerns.