45 29. Goodside, R. [@goodside]. (2022, September 12). Exploiting GPT-3 prompts with malicious inputs that order the model to ignore its previous directions [Tweet]. X. https://x.com/goodside/status/1569128808308957185 30. Tradewind AI. (n.d.). Reliable AI Toolkit: Assessment. Link: https://rai.tradewindai.com/assessment 31. Chief Digital and Artificial Intelligence Office. (2024, April). Test and Evaluation of Artificial Intelligence Models Framework. https://www.ai.mil/Portals/137/ Documents/Resources%20Page/Test%20and%20 Evaluation%20of%20Artificial%20Intelligence%20 Models%20Framework.pdf 32. Powerdrill. (n.d.). Human-calibrated automated testing and validation of generative language models. https:// powerdrill.ai/discover/discover-Human-Calibrated- Automated-Testing-cm3yxycno3bbu01bglr3s529l 33. Vincent, B. (2023, November 9). New interim DOD guidance ‘delves into the risks’ of generative AI. DefenseScoop. https://defensescoop.com/2023/11/09/ new-interim-DOD-guidance-delves-into-the-risks-of- generative-ai/ 34. SWIFT. (n.d.). The KYC process explained. https://www. swift.com/risk-and-compliance/know-your-customer- kyc/kyc-process 35. Covington & Burling LLP. (2025, January 6). Department of Justice issues final rule to implement bulk U.S. sensitive personal data and government-related data executive order. https://www.cov.com/en/news-and- insights/insights/2025/01/department-of-justice-issues- final-rule-to-implement-bulk-us-sensitive-personal- data-and-government-related-data-executive-order 36. Department of Justice. (2025, January 8). Preventing access to U.S. sensitive personal data and government- related data by countries of concern. Federal Register, 90(6), 1645–1660. https://www.federalregister.gov/ documents/2025/01/08/2024-31486/preventing-access- to-us-sensitive-personal-data-and-government-related- data-by-countries-of-concern 37. Google Cloud. (n.d.). What is artificial general intelligence? https://cloud.google.com/discover/what-is- artificial-general-intelligence 38. Brynjolfsson, E., Li, D., and Raymond, L. R. (2023). Generative AI at work (NBER Working Paper No. 31161). National Bureau of Economic Research. https://doi. org/10.3386/w31161 39. Noy, S., and Zhang, W. (2023). Experimental evidence on the productivity effects of generative artificial intelligence. Science, 381(6654), 187–192. https://doi. org/10.1126/science.adh2586 40. Peng, S., Kalliamvakou, E., Cihon, P., and Demirer, M. (2023). The impact of AI on developer productivity: Evidence from GitHub Copilot. arXiv preprint arXiv:2302.06590. https://arxiv.org/abs/2302.06590 arXiv+3arXiv+3arXiv+3 41. Kanazawa, K., Kawaguchi, D., Shigeoka, H., and Watanabe, Y. (2022). AI, skill, and productivity: The case of taxi drivers (NBER Working Paper No. 30612). National Bureau of Economic Research. https://doi.org/10.3386/ w30612 42. Sweller, John. "Cognitive Load during Problem Solving: Effects on Learning." Cognitive Science 12, no. 2 (1988): 257–285. https://doi.org/10.1207/s15516709cog1202_4 43. Zhai, Xiaoming, Matthew Nyaaba, and Wenchao Ma. "Can Generative AI and ChatGPT Outperform Humans on Cognitive-Demanding Problem-Solving Tasks in Science?" Science & Education 34 (2025): 649–670. https://doi.org/10.1007/s11191-024-00496-1. 44. Zammouri, Amin, Abdelaziz Ait Moussa, and Sylvain Chevallier. "Use of Cognitive Load Measurements to Design a New Architecture of Intelligent Learning Systems." Expert Systems with Applications 237, Part A (March 1, 2024). https://doi.org/10.1016/j. eswa.2023.121979. 45. Schulz, Thimo, and Michael Thomas Knierim. "Cognitive Load Dynamics in Generative AI-Assistance: A NeuroIS Study." In Proceedings of the International Conference on Information Systems (ICIS) 2024, December 15, 2024. https://aisel.aisnet.org/icis2024/aiinbus/aiinbus/12/. BIBLIOGRAPHY CONT. Generative AI Adoption in the US Military