Citation
Beg, Mirza Jahanzeb, et al. “Artificial Intelligence for Psychotherapy: A Review of the Current State and Future Directions.” Indian Journal of Psychological Medicine, July 2024, p. 1. EBSCOhost, https://doi.org/10.1177/02537176241260819.
Annotation
This source provides evidence as to why it’s good to use AI as a therapist/counselor as it shows that it can “address symptoms of anxiety and depression effectively” (quoted from abstract). It goes over many different studies to come to this conclusion, offering me background and something to “argue” with (more “compare”) to my source on why it’s not good to use AI as a therapist/counselor. The results of each study also serve as exhibits (and since there are a lot of studies discussed in this, there are a lot of potential exhibits).
Citation
Gyaneshwar, Amogh, et al. “Mental Health Counseling & Therapy via Artificial Intelligence-Enabled Approaches.” Authorea Preprints (2024).
Citation
Jegan, G et al. “A Medical Chatbot Embedding with Artificial Intelligence for Self-Diagnosis.” 2023 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI) /. Piscataway : IEEE, 2023. 8374–4. Web.
Citation
Li, Xiaoming, et al. “Exploring the Potential of Artificial Intelligence in Adolescent Suicide Prevention: Current Applications, Challenges, and Future Directions.” Psychiatry: Interpersonal & Biological Processes, vol. 87, no. 1, Mar. 2024, pp. 7–20. EBSCOhost, https://doi.org/10.1080/00332747.2023.2291945.
Annotation
This source is a review of how AI can be used to prevent suicide in adolescents and also examples of how it’s being used (specific projects). It provides good exhibits and also “argues” against the notion that AI can cause suicide, which is generally an unfounded claim. However, it also argues that AI should be used for suicide prevention, but other sources (Marks) argue otherwise).
Citation
Marks, Mason. “Artificial intelligence-based suicide prediction.” Yale JL & Tech. 21 (2019): 98.
Citation
Ngo, Vuong, Susan McKeever, and Christina Thorpe. “Identifying online child sexual texts in dark web through machine learning and deep learning algorithms.” (2023).
Citation
Okolie, Chidera. “Artificial intelligence-altered videos (deepfakes), image-based sexual abuse, and data privacy concerns.” Journal of International Women’s Studies 25.2 (2023): 11.
Annotation
This source provides a lot of background into how AI has contributed to image-based sexual abuse and how that can cause mental health issues, which is useful for the paper. However, it doesn’t cover the right demographic. Nevertheless, the background is still extremely useful, especially when it comes to my discussion if the proposed solutions to these problems are enough.
Citation
Wimbarti, Supra, et al. “Critical Review of Self‐diagnosis of Mental Health Conditions Using Artificial Intelligence.” International Journal of Mental Health Nursing, vol. 33, no. 2, Apr. 2024, pp. 344–58. EBSCOhost, https://doi.org/10.1111/inm.13303.
Annotation
This source suggests that people do not have enough knowledge to self-diagnose themselves with mental illnesses, although other sources disagree. It also serves as background, like the source above, on the issues behind self-diagnostics. It also doesn’t have a focus on teenagers and children, but the information is still useful for an argument.
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This is such a comprehensive and thoughtful approach to an annotated bibliography! It’s clear you’ve selected really pertinent sources, especially by addressing the ethical dimensions of AI design alongside its practical applications and impact on student engagement and research. It really feels like you’re building a strong foundation for exploring how AI can genuinely be a beneficial tool in education.
I was particularly struck by how you’re balancing the technical-ethical aspects with the ‘learning how to learn’ side, which is so crucial. Given this excellent starting point, I’m curious whether your wider project leans more towards proposing specific ethical guidelines for an AI system, examining case studies of AI’s current use in university settings, or perhaps even designing a pedagogical approach that thoughtfully integrates these tools? Also, did you come across any great articles that you nearly included but perhaps didn’t quite fit this immediate scope that you’d been looking at? Always interesting to hear about how people fine-tune their focus.
Hi Kate (or whoever is sharing/reading)! This is a really clear and thoughtful annotated bibliography entry. Thank you for sharing your progress.
You do an excellent job of summarizing Albaloushi’s argument and highlighting his central point: that social media makes us less connected by fostering observation over direct engagement, even when it theoretically connects people across distances. That distinction you emphasize between ‘looking on’ and ‘taking the next step into connecting’ is really quite insightful.
As you dive deeper into your RP, I’m curious if you’ll be exploring the psychology behind why users tend to passively observe more than actively connect on these platforms? And are you also considering the possibility that some platforms might be designed in ways that either encourage or discourage that passive observer role? Would love to hear more about your thinking on that front!
Hi Katelayne,
This is a fantastic and deeply researched annotated bibliography! It’s clear you’re building a really strong theoretical and critical foundation for your Research Project, connecting everything from archival theory to historical trauma and the role of art in shaping collective memory. I particularly appreciated seeing how you’re bringing together insights on digital spaces with these discussions of cultural representation, like with the reflections on Schenck’s work and the Farris selection.
As you move forward with developing your own digital archive or intervention regarding cultural legacy, I’d love to know more about how you plan to navigate the ethical considerations inherent in representing sensitive histories. Specifically, how might the insights from an article like the *Callaloo* one inform your technical or design choices, particularly around agency and authenticity? Also, in what ways do you foresee the theoretical frameworks you’ve gathered here, especially concerning archives and “social conscience,” directly shaping the user experience or educational goals of your project?
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