AI Research

 

Turbo-Charging Legal Research With AI

Title in Bold, 18 pts. — An Annotated Bibliography on ...

(This top part is your words, not AI.)

Paragraph 1 — Identify the problem you're trying to research. Relate it to your major and this problem is affecting or might affect your chosen field. Include at least one citation to a news article to demonstrate that this is a real and current issue. 

Sample: As AI penetrates nearly every industry, video game companies and designers worry about the impact of AI on their industry. Supporting example. Example. Example.

Paragraph 2 — The purpose of this annotated bibliography will be to research current scholarship on this issue. Question how legal scholars might be viewing this. Speculate on how the law might treat it or how this issue might raise ethical concerns.

Paragraph 3 — Describe the method you used to FIND the articles in the bibliography. What yielded the best results? If you used Google Scholar, describe your search methods. If you used something like Scholar AI, did you find the results helpful? Report on the method you used and what search terms or search string yielded best results? For example: AI and "social media" and "deceptive advertising." 

The following five articles seemed to be the most representative of the current state of research. (You can use this sentence exactly as written here to introduce the AI part.)

(This middle section is the result of AI-assisted research.)

1. Chintalapati, S., & Pandey, S. K. (2022). Artificial intelligence in marketing: A systematic literature review. International Journal of Market Research, 64(1), 38-68. https://doi.org/10.1177/14707853211018428

This systematic literature review examines the integration of artificial intelligence (AI) in marketing through an analysis of 57 qualifying publications from 2015-2020. The authors, Chintalapati and Pandey, categorize the literature into five distinct functional themes: integrated digital marketing, content marketing, experiential marketing, marketing operations, and market research, along with 19 sub-functional themes. Through their analysis, they identify 170 featured use cases where AI is leveraged in marketing to deliver superior outcomes and experiences. The study employs both qualitative and quantitative methods to rank publications based on coverage, impact, relevance, and contributed guidance, presenting findings across various sectors, research contexts, and scenarios.

The research reveals that experiential marketing and integrated digital marketing are the most researched areas of AI application, while content marketing has received comparatively limited attention. The authors identify several key trends and implications, including AI's transformation from rule-based to data-driven approaches, the growing importance of customer experience enhancement, and the need for more academic research in this rapidly evolving field. They also highlight significant gaps in current research, particularly in sector-specific studies and the investigation of AI's impact on strategic marketing decision-making. The study concludes by proposing a comprehensive future research agenda addressing these gaps and emphasizing the need to study the understated interventions of AI in traditional marketing models. The authors note that while AI in marketing is currently dominated by practitioner research, there is a growing need for academic involvement to prepare marketing students for this technological transformation.

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(Everything from here down is your words, not AI.)

Discussion & Conclusions

Paragraph 1 & 2 (this should be longer and richer than the next paragraph) — Substantive material in this paragraph. Conclusions about the subject matter, what you learned about your topic from these articles, summarizing the summaries above. Here, you can bring in your opinions about the scholarship you reviewed and make recommendations for solutions to the problem in the future. You can use the first-person "I" in this section. (Show your critical thinking skills and analytical ability. Bring in your opinions.)

Paragraph 3 (can be short) — Methodology material about what you learned about using AI tools to speed up academic research. What were the positive outcomes? What were the pitfalls to watch for? Which tool was most useful, and why. Did it require a combination of tools, and how? How does AI need to improve to better serve academic research? 

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I encourage you to experiment with many AI tools, but you MUST get beyond the free version of ChatGPT. It is NO GOOD for doing academic research, so don't use it.

BEST SUGGESTION: Use ScholarAI for article selection if you like, but be warned: You might get a lot of foreign-language articles. If you do a Google Scholar search, you can comfortably know that it is only searching academic databases. 

Use your Gmail to sign in. It's free.

Do this steps:

Step 1: Ask it to find six ACADEMIC articles that address the issue you're interested in.

Step 2: Download the PDF articles that it produced.

Step 3: One by one, upload an article using the paperclip icon, then ask ScholarAI to give you a 400-word summary in two paragraphs.

Step4: Paste the article CITATION in bold, followed by the 400-word summary in 12 pts. Times New Roman into your Word Doc or Google Doc.

Step 5: Actually READ the summaries. I'm serious. Read the summaries and think about them.

Step 6: Write your Discussion & Conclusions section IN YOUR OWN WORDS based on what you learned from the articles and summaries that the AI found for you.

FORMAT: Use the model sample that I sent you by Granville Steele.