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Microcourses -- Research Skills 101 Revised

Revised drafts of Research Skills 101 and 102 for 2025-2026

Lesson 1: References

Main Lesson References:

Chesterman   S. (2020). Artificial intelligence and the limits of legal personality. International and Comparative Law Quarterly, 69(4), 819–844. https://doi.org/10.1017/S0020589320000366

Congressional Research Service. (2023, October 18). Generative artificial intelligence and copyright law: Current issues. (CRS Legal Sidebar No. LSB10922). https://www.congress.gov/crs-product/LSB10922

Davidson, L. (2019, August 12). Narrow vs. general AI: What’s next for artificial intelligence? [Blog post]. Career Education & Professional Development, University of Rochester. https://careereducation.rochester.edu/blog/2022/08/23/narrow-vs-general-ai-whats-next-for-artificial-intelligence/(Original work published on Springboard at https://www.springboard.com/blog/data-science/narrow-vs-general-ai/[Narrow vs....elligence?]

Eliot, L. (2025, August 7). GPT-5 is launched, but set aside your expectations that this was going to be either AGI or artificial superintelligence, since it clearly isn’t. Forbes. https://www.forbes.com/sites/lanceeliot/2025/08/07/gpt-5-is-launched-but-set-aside-your-expectations-that-this-was-going-to-be-either-agi-or-artificial-superintelligence-since-it-clearly-isnt/

Eliot, L. (2025, September 12). Deliberating on the many definitions of artificial general intelligence. Forbes. https://www.forbes.com/sites/lanceeliot/2025/09/12/deliberating-on-the-many-definitions-of-artificial-general-intelligence/ [Deliberati.... - Forbes]

Knispel, S. (2025, April 3). How artificial general intelligence could learn like a human. University of Rochester News Centerhttps://www.rochester.edu/newscenter/artificial-general-intelligence-large-language-models-644892/

McCarthy, J. (n.d.). What is AI? / Basic questions. Stanford University. http://jmc.stanford.edu/artificial-intelligence/what-is-ai/index.html

Metz, R. (2023, November 9). Explained: Generative AI. MIT News. https://news.mit.edu/2023/explained-generative-ai-1109

U.S. Copyright Office. (2023, October 17). NewsNet 1017: Copyright Office announces new registration option for short online literary works. U.S. Library of Congress. https://www.copyright.gov/newsnet/2023/1017.html

Some Additional Resources on the fundamentals of Generative AI

Caltech. (n.d.). What Is Generative AI? Caltech Science Exchange. Retrieved September 30, 2025, from https://scienceexchange.caltech.edu/topics/artificial-intelligence-research/generative-ai 

Ramteja Sajja, Yusuf Sermet, & Demir, I. (2025). Introduction to Generative AI. Civil Engineering Tools: Concepts, Applications, and Question Bank; Pressbooks. https://pressbooks.uiowa.edu/civil-engineering-tools/chapter/generative-ai/ 

Zewe, A. (2023, November 9). Explained: Generative AI. MIT News; Massachusetts Institute of Technology. https://news.mit.edu/2023/explained-generative-ai-1109 

 

References for Types of AI Examples

Adobe Inc. (2023, September 25). Replace the sky in your photos. Adobe Help Center. https://helpx.adobe.com/photoshop/using/replace-sky.html

Altair. (2025, April 9). From weeks to seconds: The AI revolution in engineering. Axios. https://www.axios.com/sponsored/from-weeks-to-seconds-the-ai-revolution-in-engineering

Caballar, R. D., & Stryker, C. (2024, June 19). What is a recommendation engine? IBM. https://www.ibm.com/think/topics/recommendation-engine

Câmara, A., de Almeida, A., Caçador, D., & Oliveira, J. (2023). Automated methods for image detection of cultural heritage: Overviews and perspectives. Archaeological Prospection30(2), 153-169. https://doi.org/10.1002/arp.1883

Character, L., Beach, T., Inomata, T., Garrison, T. G., Luzzadder-Beach, S., Baldwin, J. D., ... & Ranchos, J. L. (2024). Broadscale deep learning model for archaeological feature detection across the Maya area. Journal of Archaeological Science169, 106022. https://doi.org/10.1016/j.jas.2024.106022

Foltynski, P., Kruszewska, K., Krakowiecki, A., Czarkowska-Paczek, B., & Ladyzynski, P. (2025). Artificial intelligence models for wound infection recognition and their comparison with human results. Biocybernetics and Biomedical Engineering, 45(3), 572-579. https://www.sciencedirect.com/science/article/pii/S0208521625000610

Google. (2024, May 8). AlphaFold. Google DeepMind. https://deepmind.google/science/alphafold/ 

Ibrahim, M. (2024, August 14). AI in art and cultural heritage conservation. Ultralytics. https://www.ultralytics.com/blog/ai-in-art-and-cultural-heritage-conservation

Marr, B. (2023, May 19). A short history of ChatGPT: How we got to where we are today. Forbes. https://www.forbes.com/sites/bernardmarr/2023/05/19/a-short-history-of-chatgpt-how-we-got-to-where-we-are-today/ 

Moon, I., LoPiccolo, J., Baca, S. C., Sholl, L. M., Kehl, K. L., Hassett, M. J., ... & Gusev, A. (2023). Machine learning for genetics-based classification and treatment response prediction in cancer of unknown primary. Nature Medicine, 29(8), 2057-2067. https://www.nature.com/articles/s41591-023-02482-6

Rice, S. (2025, April 22). How Darktrace’s self-learning AI is redefining cybersecurity. AI Magazine. https://aimagazine.com/ai-strategy/how-darktraces-self-learning-ai-is-redefining-cybersecurity [aimagazine.com]

Thomas, L. (2019, August 6). Nike acquires A.I. platform Celect, hoping to better predict shopping behavior. CNBC; CNBC. https://www.cnbc.com/2019/08/06/nike-acquires-ai-platform-celect-hoping-to-predict-shopping-behavior.html 

Trafton, A. (2023, August 7). AI model can help determine where a patient’s cancer arose. MIT News | Massachusetts Institute of Technology. https://news.mit.edu/2023/ai-model-can-help-determine-where-patients-cancer-arose-0807 

Varadi, M., Bertoni, D., Magana, P., Paramval, et al. (2024). AlphaFold Protein Structure Database in 2024: providing structure coverage for over 214 million protein sequences. Nucleic Acids Research52(D1), D368–D375. https://doi.org/10.1093/nar/gkad1011

Vinoski, J. (2025, March 10). GM Develops New AI-Driven Quality Control Tech. Forbes. https://www.forbes.com/sites/jimvinoski/2025/03/10/gm-develops-new-ai-driven-quality-control-tech/ 

Winn, Z. (2024, December 20). Startup’s autonomous drones precisely track warehouse inventories. MIT News. https://news.mit.edu/2024/corvus-autonomous-drones-precisely-track-warehouse-inventories-1220

Lesson 2: References

References for AI and Copyright:

Alter, A., & Harris, E. A. (2023, Sep 21). Franzen, Grisham and others sue OpenAI: [Business/Financial desk]. New York Times https://manowar.tamucc.edu/login?url=https://www.proquest.com/newspapers/franzen-grisham-others-sue-openai/docview/2866624835/se-2

Brittain, Blake. (2025, Sept. 11). Encyclopedia Britannica sues Perplexity over AI 'answer engine’. Reuters. https://www.reuters.com/legal/litigation/encyclopedia-britannica-sues-perplexity-over-ai-answer-engine-2025-09-11/

Chesterman, S. (2025). Good models borrow, great models steal: Intellectual property rights and generative AI. Policy and Society 44(1), 23–37. https://doi.org/10.1093/polsoc/puae006

Congressional Research Service. (2023). Generative Artificial Intelligence and Copyright Law (CRS Legal Sidebar LSB10922). https://crsreports.congress.gov/product/pdf/LSB/LSB10922

Lane, R. (2024, June 11). Why Perplexity’s cynical theft represents everything that could go wrong with AI. Forbes. https://www.forbes.com/sites/randalllane/2024/06/11/why-perplexitys-cynical-theft-represents-everything-that-could-go-wrong-with-ai/

Lucchi, N. (2025). The use of copyrighted materials in generative AI training: Legal frameworks and policy options(Study No. 774095). European Parliament, Directorate-General for Internal Policies. https://www.europarl.europa.eu/RegData/etudes/STUD/2025/774095/IUST_STU(2025)774095_EN.pdf

Ong, S. (2025, May 19). The UK’s curious case of copyright for AI-generated works: What Section 9(3) means today. Authors Alliance. https://www.authorsalliance.org/2025/05/19/the-uks-curious-case-of-copyright-for-ai-generated-works-what-section-93-means-today/

Reisner, Alex. (2025, Sept. 25). These 183,000 books are fueling the biggest fight in publishing and tech. The Atlantic.https://www.theatlantic.com/technology/archive/2023/09/books3-database-generative-ai-training-copyright-infringement/675363

Singapore Academy of Law, Law Reform Committee. (2020). Rethinking database rights and data ownership in an AI world (S. Constantine, Ed.). Singapore Academy of Law. https://www.sal.org.sg/Resources-Tools/Law-Reform/Law-Reform-e-Archive

Shamsian, J. (2025, Oct 28). ChatGPT came up with a 'game of thrones' sequel idea. now, a judge is letting george RR martin sue for copyright infringement. Business Insider. https://manowar.tamucc.edu/login?url=https://www.proquest.com/newspapers/chatgpt-came-up-with-game-thrones-sequel-idea-now/docview/3265942268/se-2

Schor, Z. (2024, December 2). Andersen v. Stability AI: The landmark case unpacking the copyright risks of AI image generators. NYU Journal of Intellectual Property & Entertainment Law.

https://jipel.law.nyu.edu/andersen-v-stability-ai-the-landmark-case-unpacking-the-copyright-risks-of-ai-image-generators/

References on Citing Generative AI section

Chesterman   S. (2020). Artificial intelligence and the limits of legal personality. International and Comparative Law Quarterly, 69(4), 819–844. doi: 10.1017/S0020589320000366

Huang, L., Yu, W., Ma, W., Zhong, W., Feng, Z., Wang, H., Chen, Q., Peng, W., Feng, X., Qin, B., & Liu, T. (2025). A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions. ACM Transactions on Information Systems. https://doi.org/10.1145/3703155

McAdoo, T., Denneny, S., & Lee, C. (2025, September 9a). Citing generative AI in APA Style: Part 2—Part 1—Reference formats. APA Style Bloghttps://apastyle.apa.org/blog/cite-generative-ai-references

McAdoo, T., Denneny, S., & Lee, C. (2025, September 9b). Citing generative AI in APA Style: Part 2—AI as a search engine and AI integrated into common software. APA Style Bloghttps://apastyle.apa.org/blog/cite-generative-ai-search-software

McAdoo, T., Denneny, S., & Lee, C. (2025, September 9c). Citing generative AI in APA Style: Part 3—Is AI “allowed” in APA Style?. APA Style Bloghttps://apastyle.apa.org/blog/cite-generative-ai-allowed

Modern Language Association. (2025, August 13). How do I cite generative AI in MLA style? (Updated and revised). MLA Style Center. https://style.mla.org/citing-generative-ai-updated-revised/

OpenAI. (2025). ChatGPT (GPT-5) [Multimodal large language model system]. https://chat.openai.com/chat

OpenAI. (n.d.). Will OpenAI claim copyright over what outputs I generate with the API? OpenAI Help Center. https://help.openai.com/en/articles/5008634-will-openai-claim-copyright-over-what-outputs-i-generate-with-the-api

United States Copyright Office. (2025, May). Copyright and artificial intelligence: Part 3 – Generative AI training (pre-publication version). U.S. Copyright Office. https://www.copyright.gov/ai/Copyright-and-Artificial-Intelligence-Part-3-Generative-AI-Training-Report-Pre-Publication-Version.pdf 

References on inaccuracy issues in AI source usage

ChatGPT 4.0 ghosted us while conducting literature search: Modeling the chatbot’s generated non-existent references using regression analysis. (2024). Internet Reference Services Quarterly. https://doi.org/10.1080/10875301.2024

Liu, N. F., Zhang, T., & Liang, P. (2023, December). Evaluating verifiability in generative search engines. In H. Bouamor, J. Pino, & K. Bali (Eds.), Findings of the Association for Computational Linguistics: EMNLP 2023 (pp. 7001–7025). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023

Peters, U., & Chin-Yee, B. (2025). Generalization bias in large language model summarization of scientific research. Royal Society Open Science, 12(4), 241776. https://doi.org/10.1098/rsos.241776 

Venkit, P. N., Laban, P., Zhou, Y., Mao, Y., & Wu, C. S. (2024). Search engines in an AI era: The false promise of factual and verifiable source-cited responses. arXiv. https://arxiv.org/abs/2410.22349

Worledge, T., Hashimoto, T., & Guestrin, C. (2024, November 27). The extractive-abstractive spectrum: Uncovering verifiability trade-offs in LLM generations. arXiv. https://arxiv.org/abs/2411.17375