Helena MA Bolini¹, Pedro Pio C Augusto¹, Dragana Ubiparip Samek², Dubravka Škrobot², Stephen D Rappaport³, Sharon Wingert4 and Howard R Moskowitz^4,5*

¹Faculty of Food Engineering, State University of Campinas, Campinas, São Paulo, Brazil
²University of Novi Sad, Institute of Food Technology, Novi Sad, Serbia
³Stephen D. Rappaport Consulting, LLC, Norwalk, CT, USA
⁴Tactical Data Group, Stafford, VA, USA
⁵Mind Genomics Associates, Inc., White Plains, NY, USA

*Corresponding Author: Howard R Moskowitz, Mind Genomics Associates, Inc., White Plains, NY, USA and Tactical Data Group, Stafford, VA, USA.

Received: July 10, 2025; Published: July 29, 2025

Abstract

This paper presents the combination of AI and Mind Genomics thinking to demonstrate how one may learn to think critically about a topic. The topic here is the personal microbiome and the “food mind.” All the information is generated by simple prompts in the Mind Genomics platform, BimiLeap.com. The process begins with an introductory, two-part tutorial. The first part comprises a short history of today’s work as if being written in the future. The second part comprises 15 AI-generated questions and answers about the personal microbiome and the food mind. The process continues with a simulation of a meeting about the food microbiome, and different positions of people. The remainder of the paper shows how to think critically, beginning with identifying key ideas, themes, perspectives. The paper moves to show how to understand the points of view of those who accept vs. reject aspects regarding the food microbiome. The paper finishes with a detailed analysis of four possible innovations. The approach is significant because the same types of tutorial information can be developed in minutes for topics dealing with the way ordinary people think. The contribution of the paper is the standardization of AI inputs and outputs to create a tool to enhance topic-specific critical thinking.

Keywords: AI-Generated Insights; Critical Thinking; Mind Genomics; Personal Microbiome; Personalized Nutrition; Perspective Analysis

References

1. Bellamy Edward. “Looking Backward: 2000-1887. Harvard University Press (1967).
2. Berg Gabriele., et al. “Microbiome definition re-visited: old concepts and new challenges”. Microbiome 8 (2020): 1-22.
3. Höll D and Bossert LN. “Introducing the microbiome: Interdisciplinary perspectives”. Endeavour 1-2 (2022): 100817.
4. Klassen Jonathan L. “Defining microbiome function”. Nature Microbiology8 (2018): 864-869.
5. Michaelis Richard. “Looking Further Forward: An Answer to Looking Backward by Edward Bellamy”. Good Press (2019).
6. Morar N and Bohannan BJM. “The conceptual ecology of the human microbiome”. The Quarterly Review of Biology 2 (2019): 149-175.
7. Staley David J. “History and future: Using historical thinking to imagine the future”. Lexington Books (2007).
8. Chan Cecilia Ka Yuk and Louisa HY Tsi. “The AI revolution in education: will AI replace or assist teachers in higher education?” arXiv preprint arXiv 01185 (2023).
9. Koć-Januchta Marta M., et al. “Engaging with biology by asking questions: Investigating students’ interaction and learning with an artificial intelligence-enriched textbook”. Journal of Educational Computing Research 6 (2020): 1190-1224.
10. Mollick, Ethan R and Lilach Mollick. “Using AI to implement effective teaching strategies in classrooms: Five strategies, including prompts”. The Wharton School Research Paper (2023).
11. Rospigliosi Pericles ‘asher. “Artificial intelligence in teaching and learning: what questions should we ask of ChatGPT?” Interactive Learning Environments1 (2023): 1-3.
12. Ahuja Abhimanyu S., et al. “The Digital Metaverse: Applications in Artificial Intelligence, Medical Education, and Integrative Health”. Integrative Medicine Research1 (2023): 100917.
13. Alam Ashraf. “Harnessing the power of AI to create intelligent tutoring systems for enhanced classroom experience and improved learning outcomes”. Intelligent Communication Technologies and Virtual Mobile Networks. Singapore: Springer Nature Singapore (2023): 571-591.
14. Kliestik Tomas., et al. “Live shopping in the metaverse: Visual and spatial analytics, cognitive artificial intelligence techniques and algorithms, and immersive digital simulations”. Linguistic and Philosophical Investigations 21 (2022): 187-202.
15. Dwivedi YK., et al. “Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy”. International Journal of Information Management 71 (2023): 102642.
16. Holmes Wayne and Kaśka Porayska-Pomsta. “The ethics of artificial intelligence in education”. Lontoo: Routledge (2023).
17. Shanto Shakib Sadat., et al. “Enriching learning process with generative AI: A proposed framework to cultivate critical thinking in higher education using Chat GPT”. Tuijin Jishu/Journal of Propulsion Technology 1 (2024): 3019-3029.
18. Wu Yi. “Integrating generative AI in education: how ChatGPT brings challenges for future learning and teaching”. Journal of Advanced Research in Education4 (2023): 6-10.
19. De Bruijn., et al. “The perils and pitfalls of explainable AI: Strategies for explaining algorithmic decision-making”. Government Information Quarterly2 (2022): 101666.
20. Floridi Luciano., et al. “How to design AI for social good: Seven essential factors.” Ethics, Governance, and Policies in Artificial Intelligence (2021): 125-151.
21. De Sio FS and Mecacci G. “Four Responsibility Gaps with Artificial Intelligence: Why they Matter and How to Address them”. Philosophy and Technology4 (2022): 1057-1084.
22. Dafoe Allan., et al. “Open problems in cooperative AI”. arXiv preprint arXiv08630 (2020).
23. Sartori Laura and Andreas Theodorou. “A sociotechnical perspective for the future of AI: narratives, inequalities, and human control”. Ethics and Information Technology1 (2022): 4.
24. Ulnicane Inga., et al. “Framing governance for a contested emerging technology: insights from AI policy.” Policy and Society2 (2021): 158-177.
25. Vassiliades Alexandros., et al. “Argumentation and Explainable Artificial Intelligence: A Survey”. The Knowledge Engineering Review 36 (2021): e5.
26. Bianchini Stefano., et al. “Artificial intelligence in science: An emerging general method of invention”. Research Policy10 (2022): 104604.
27. Chesterman Simon. “ARTIFICIAL INTELLIGENCE AND THE LIMITS OF LEGAL PERSONALITY”. International and Comparative Law Quarterly4 (2020): 819-844.
28. Dornis Tim W. “Artificial intelligence and innovation: the end of patent law as we know it”. Yale JL and Tech 23 (2020): 97.
29. Kim Daria. “‘AI-Generated Inventions’: Time to Get the Record Straight?”. GRUR International 69.5 (2020): 443-456.
30. Miailhe Nicolas and Cyrus Hodes. “The third age of artificial intelligence”. Field Actions Science Reports. The journal of field actionsSpecial Issue 17 (2017): 6-11.

Citation

Citation: Bolini., et al. “Simulating and Stimulating Critical Thinking Using Mind Genomics Turbocharged with AI: Looking Back from the Year 2030 at the Personal Microbiome and the “Food Mind”".Acta Scientific Nutritional Health 9.8 (2025): 80-92.

Copyright

Copyright: © 2025 Howard R Moskowitz., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.