RP Blog 4: Annotated Bibliography

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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