Resources

References

AI Fundamental Research - Managing AI Bias | NIST. (2020, April 6). NIST. https://www.nist.gov/artificial-intelligence/ai-fundamental-research-managing-ai-bias

Darvishi, A., Khosravi, H., Abdi, S., Sadiq, S., & Gasevic, D. (2022, June 1). Incorporating Training, Self-monitoring and AI-Assistance to Improve Peer Feedback Quality | Proceedings of the Ninth ACM Conference on Learning @ Scale. ACM Other Conferences. https://dl.acm.org/doi/abs/10.1145/3491140.3528265

Ekne, S., & Gylleus, K. (2015, August 5). Analysis and comparison of solving algorithms for sudoku. Diva-Portal; KTH ROYAL INSTITUTE OF TECHNOLOGY. https://www.diva-portal.org/smash/get/diva2:811020/FULLTEXT01.pdf

GAMIFICATION: SPEEDIER READERS. (n.d.). ASEE Prism, 31(6), 13. https://doi.org/10.2307/48682168

Hera, T., Jansz, J., Jacobs, R., Schouten, B., Raessens, J., & Kors, M. (n.d.). Persuasive Gaming: From Theory Based Design to Validation and Back. An Introduction (pp. 7–24). Amsterdam University Press. https://doi.org/10.2307/j.ctv1hw3z1d.3

Maharaj, S., Polson, N., & Turk, A. (n.d.). Entropy | Free Full-Text | Chess AI: Competing Paradigms for Machine Intelligence. MDPI; Multidisciplinary Digital Publishing Institute. Retrieved September 21, 2022, from https://www.mdpi.com/1099-4300/24/4/550

Manyika, J. (n.d.). Getting AI Right: Introductory Notes on AI & Society. Daedalus, 151(2), 5–27. https://doi.org/10.2307/48662023

MENTAL HEALTH ATLAS 2020 (pp. 107–115). (2021). World Health Organization. https://doi.org/10.2307/resrep39117.12

mhGAP Community Toolkit: Mental Health Gap Action Programme (mhGAP) (pp. 29–37). (2022). World Health Organization. https://doi.org/10.2307/resrep27898.11

Michael, N. (n.d.). Trustworthy AI: Why Does It Matter? National Defense, 104(791), 26–27. https://doi.org/10.2307/27022745