LiteraNeo

About LiteraNeo

Hello there. This is LiteraNeo, and it all begins with one question: what does it mean to be human in the age of AI? I'm Eliana Kouzom, and I'm pretty sure I'm not the only one wondering about the future of our humanity — and there's no easy answer. But that's exactly why LiteraNeo exists. Here I share reflections and conversations with curious minds, exploring books, academic research, and film to understand how people, systems, and technologies shape one another. If you're asking the same question, follow along, new video every two weeks.

Publisher

LiteraNeo by Eliana Kouzom

Category

education

Language

en

Explicit

No

First episode

13 Aug 2024

Latest episode

28 Aug 2026

Latest episodes

16 episodes in the feed.

1. 

   28 Aug 2026

   How Much AI Is Too Much in Academic Assessment?

   Johan Lorentz and I discuss how students and educators navigate the unclear boundary between acceptable AI assistance and academic misconduct in university assignments, and what that means for learning, and academic integrity.

2. 

   17 Jun 2026

   Is AI Making Researchers Worse at Writing? Scientific Writing & Critical Thinking

   Do we still need to learn how to write when AI can generate polished text in seconds?Sources:Hagit Meishar-Tal (2025) Scientific writing in the age of generative AI:usage patterns and ethical considerations among Israeli researchers https://www-tandfonline-com.ezproxy.ub.gu.se/doi/pdf/10.1080/10508422.2025.2562589?needAccess=trueMatina’s article on freewriting: Freewriting: write your science clearly, easily and with joyA practical guide to using freewriting to improve scientific writing: https://writingscientist.com/freewriting/The book Matina mentioned in our chat: Oliver Burkman’s 4,000 WeeksSubscribe to LiteraNeo for thoughtful conversations about AI, society, knowledge, and the future of human skills.Chapters:00:00 Do we still need to learn how to write?00:28 Introduction to Matina01:22 How AI is entering academic writing02:28 AI helps with boring tasks — but not meaningful thinking03:42 Is AI making writing more efficient?04:16 When AI speeds up bad writing06:39 How to test whether AI helps your writing07:32 Desirable difficulties and meaningful effort09:07 Where junior researchers struggle with writing09:47 Top-down writers and perfectionism11:05 Bottom-up writers and structure problems12:56 Architect vs gardener writing styles13:23 When AI changes the meaning of your text14:37 Writing and thinking are tightly connected15:13 AI in scientific writing and authorship16:36 Why AI is not a lab member or co-author19:28 Why human oversight is harder than it sounds21:16 Writing helps reveal gaps in thinking23:08 Why paraphrasing should not be outsourced to AI24:38 Could AI weaken young researchers’ skills?25:21 AI, quantity over quality, and homogenised research27:02 Cognitive anchoring and AI-generated ideas27:49 Human first, AI second29:22 Protecting cognitive abilities when using AI30:31 Why AI should ask before answering33:04 How to use AI without taking the easiest shortcut34:08 Researchers noticing weaker thinking from heavy AI use35:36 Advice for using generative AI wisely36:49 Freewriting as private thinking practice39:03 Matina’s magic-wand technology40:49 Final reflections

3. 

   3 Jun 2026

   Why Trust Is Now Vulnerable? Cybersecurity in the Age of AI

   What happens when AI can copy the voice of someone you trust? Artificial intelligence is changing digital security, cyber scams, malware, phishing, and human trust.Ivan and I discuss why cybersecurity is no longer only about hackers and computers. It is also about the digital environment around us: phones, bank accounts, vehicles, apps, personal data, and the everyday choices we make online.SourceCasiraghi, L. (2025, February 9). Italian elite targeted by scammers using AI voice impersonation. Bloomberg.https://www.bloomberg.com/news/articles/2025-02-09/italian-elite-targeted-by-scammers-using-ai-voice-impersonationMercer, S., & Watson, T. (2024, June). Generative AI in cybersecurity: Assessing impact on current and future malicious software. Centre for Emerging Technology and Security, The Alan Turing Institute https://cetas.turing.ac.uk/sites/default/files/2024-06/cetas_briefing_paper_-_generative_ai_in_cybersecurity.pdfChapters00:00 AI voice scams and the new threat to trust01:15 Introduction to cybersecurity and AI02:25 What cybersecurity actually means04:22 What is malware?05:36 How AI changes attackers and defenders07:23 AI, phishing, voice cloning, and fake identities10:08 Why AI makes online trust more fragile13:06 Is it risky to share private data on WhatsApp?15:06 How attackers think about targets16:45 BankID, scams, and social engineering in Sweden18:22 White-hat vs black-hat hackers20:13 Practical advice for using new technology21:56 The technology Ivan would create with a magic wand24:28 Why the future may need less technology24:49 Final reflection: technology, trust, and cybersecurity#Cybersecurity#DigitalTrust#AIScams

4. 

   19 May 2026

   AI and the Future of Innovation

   What happens when machines start shaping how we innovate?In the age of generative AI, this is becoming a real question. In this episode, Arvid Lunde and I discuss how generative AI is used in collaborative prototyping within real innovation settings. We explore how AI can support idea generation, knowledge transfer, and alignment between different stakeholders.We also discuss the limits of AI-supported innovation: where does responsibility sit, and in whose hands?Listen until the end to hear what Arvid would create if he had a magic wand. His answer raises a bigger question about the kind of society we want to build.

5. 

   5 May 2026

   Would you Let an AI Agent Decide for You?

   When people start interacting with AI less like a tool and more like a teammate, does that actually change how we think and work?We often talk about efficiency and automation, but rarely about how these systems quietly reshape our way of understanding and making decisions.In this episode, Jasmine and I discuss how AI is used in everyday work, and what it means to collaborate with these technologies. We explore different ways of working with AI tools, how to exploit the opportunities AI provides, and how to maintain responsibility. Jasmine shares a sneak peek of an AI agent she is working on for her master’s thesis project.Chapters00:00 Intro00:38 Jasmine intro01:39 AI and technology change03:41 AI innovation04:13 AI as a teammate04:30 Assimilation with AI04:44 Accommodation with AI05:02 AI fears and concerns07:30 AI awareness08:03 Social media and AI training10:06 AI in organisations12:26 AI as a cognitive partner12:42 AI agents14:03 Checking AI sources15:18 Copilot and work data16:02 Personalised AI agents17:27 Predictive maintenance17:36 AI risks and dependency18:45 Trusting AI decisions20:33 Jasmine’s advice21:44 Magic wand question24:08 ClosingsourcePark, M. J. (2026). AI as a cognitive collaborator: Assimilation and accommodation in human–machine teaming for innovation. https://doi.org/10.1016/j.jik.2025.100892

6. 

   19 Apr 2026

   The Future of Transport: Who Will Have Control?

   When algorithms start becoming part of our everyday lives, does that actually change anything for us? 
We often talk about technology shaping the future, but we rarely stop to think about the systems that quietly structure daily life. Transport is one of them. In this conversation, Fabian and I discuss the tension between personal freedom and safety risks. And if, like me, you struggle with preparing meals for your workday, listen until the end to hear what Fabian would create if he had a magic wand. Sources: Al-Khalili, J. (2017). What’s next?: Even scientists can’t predict the future—or can they?De Freitas, J., Zhou, X., Atzei, M., Boardman, S., & Lillo, L. D. (2025). Public perception and autonomous vehicle liability. Journal of Consumer Psychology, 35, 551–566. https://doi-org.ezproxy.ub.gu.se/10.1002/jcpy.1448International Transport Forum. (2024). Annual report 2024. https://www.itf-oecd.org/sites/default/files/docs/irtad-road-safety-annual-report-2024.pdfRaue, M., D'Ambrosio, L. A., Ward, C., Lee, C., Jacquillat, C., & Coughlin, J. F. (2019). The influence of feelings while driving regular cars on the perception and acceptance of self-driving cars. Risk Analysis, 39(2). https://doi.org/10.1111/risa.13267https://onlinelibrary-wiley-com.ezproxy.ub.gu.se/doi/epdf/10.1111/risa.13267

7. 

   17 Jun 2025

   Transforming Education with AI

   AI is reshaping education, bringing opportunities like personalized learning and improved access, but also raising ethical and equity concerns. In this episode, we explore UNESCO’s latest insights on AI in education and how to ensure it enhances learning while keeping the human essence of teaching at the center. Stay tuned for future episodes, where we’ll dive deeper into these critical topics

8. 

   17 Jun 2025

   AI Music: Hits or Mess?

   In this episode, we explore the ethical and legal challenges, the impact on creativity and originality. Sources: Drott, E. (2021). Copyright, compensation, and commons in the music AI industry. Creative Industries Journal, 14(2), 190–207. Examples of AI music generations. Medium. https://medium.com/@artturi-jalli/ai-music-generators-98575bec0e4c (https://medium.com/@artturi-jalli/ai-music-generators-98575bec0e4c) Hagendorff, T. (2020). The ethics of AI ethics: An evaluation of guidelines. Minds and Machines, 30(1), 99–120. HP. (n.d.). AI in creative industries. HP. https://www.hp.com/us-en/shop/tech-takes/ai-in-creative-industries#visual (https://www.hp.com/us-en/shop/tech-takes/ai-in-creative-industries#visual) Reje, A. (2023). Ethical risk analysis of the use of AI in music production. KTH. https://kth.diva-portal.org/smash/get/diva2:1711711/FULLTEXT01.pdf (https://kth.diva-portal.org/smash/get/diva2:1711711/FULLTEXT01.pdf)

9. 

   17 Jun 2025

   The Ethical Dimensions of AI: Lessons from COMPAS and Beyond

   Join our discussion on the ethics of AI. In this episode we explore key topics like fairness, transparency, and accountability, using real-world examples like COMPAS to highlight the challenges. Hope you enjoy it! Sources: Barenstein, M. (2019, July 8). ProPublica’s COMPAS data revisited. arXiv. https://arxiv.org/pdf/1906.04711 (https://arxiv.org/pdf/1906.04711) Bathaee, Y. (2018). The artificial intelligence black box and the failure of intent and causation. Harvard Journal of Law & Technology, 31(2). https://jolt.law.harvard.edu/assets/articlePDFs/v31/The-Artificial-Intelligence-Black-Box-and-the-Failure-of-Intent-and-Causation-Yavar-Bathaee (https://jolt.law.harvard.edu/assets/articlePDFs/v31/The-Artificial-Intelligence-Black-Box-and-the-Failure-of-Intent-and-Causation-Yavar-Bathaee) Daily, C. (2023, October 23). Define ethics: An introduction to AI and its implications. The AI Educator. https://medium.com/the-ai-educator/define-ethics-an-introduction-to-ai-and-its-implications-a19c2096bcda (https://medium.com/the-ai-educator/define-ethics-an-introduction-to-ai-and-its-implications-a19c2096bcda) GSC Advanced Research and Reviews. (2024). Navigating and reviewing ethical dilemmas in AI development: Strategies for transparency, fairness, and accountability. GSC Advanced Research and Reviews, 18(3), 050-058. https://doi.org/10.30574/gscarr.2024.18.3.0088 (https://doi.org/10.30574/gscarr.2024.18.3.0088) Internet Encyclopedia of Philosophy. (2020, October 30). Deontological ethics. https://plato.stanford.edu/entries/ethics-deontological/ (https://plato.stanford.edu/entries/ethics-deontological/) Stanford Rewired. (2024). 137 questions: Criminal risk assessment algorithms as a case study for data ethics. Stanford Rewired. Retrieved from https://stanfordrewired.com/post/137-questions (https://stanfordrewired.com/post/137-questions) Vatankhah, S., Bamshad, V., Arici, H. E., & Duan, Y. (2024). Ethical implementation of artificial intelligence in the service industries. The Service Industries Journal, 44(9-10), 661-685. https://doi.org/10.1080/02642069.2024.2359077 (https://doi.org/10.1080/02642069.2024.2359077)

10. 

    19 Aug 2024

    The Real Issue with AI

    Source Didier, E. (2024, January 16). The question isn’t asset or threat; it’s oversight. Issues in Science and Technology. National Academy of Sciences, Arizona State University. https://florian-jaton.com/resources/rettberg-et-al._2023_ai-society.pdf (https://florian-jaton.com/resources/rettberg-et-al._2023_ai-society.pdf)

11. 

    18 Aug 2024

    The Future of Museums: AI Takes the Stage

    Primary Source Rani, S., Jining, D., Shah, D., Xaba, S., & Singh, P. R. (2023). Exploring the potential of artificial intelligence and computing technologies in art museums. ITM Web of Conferences, 53, 01004. https://doi.org/10.1051/itmconf/20235301004 (https://doi.org/10.1051/itmconf/20235301004) Secondary Source Alvarez, Isaac. (2023, April 19). DALL-E And The Future Of Art. Apiumhub. Retrieved from https://apiumhub.com/tech-blog-barcelona/dall-e-and-the-future-of-art/ (https://apiumhub.com/tech-blog-barcelona/dall-e-and-the-future-of-art/) Kaleh, Stacey. (2024, January 28). AI and the Future of Museum Work: Together, Human Intelligence and Artificial Intelligence Can Unlock Deeper Capacity to Understand the Past, Connect with Art, and Challenge Current Societal Expectations. Curious Optimist. Retrieved from https://curious-optimist.medium.com/ai-and-the-future-of-museum-work-fdab16f28a65 (https://curious-optimist.medium.com/ai-and-the-future-of-museum-work-fdab16f28a65) Styx, Lauren. (2024, May 12). How Are Museums Using Artificial Intelligence? MuseumNext. Retrieved from https://www.museumnext.com/article/artificial-intelligence-and-the-future-of-museums/ (https://www.museumnext.com/article/artificial-intelligence-and-the-future-of-museums/)

12. 

    17 Aug 2024

    AI in Agriculture

    Morrison, O. (2022, March 2). Risks of using AI to grow our food ‘poorly understood’ and ‘under-appreciated’. Food Navigator. https://www.foodnavigator.com/Article/2022/03/02/Risks-of-using-AI-to-grow-our-food-poorly-understood-and-under-appreciated?utm_source=copyright&utm_medium=OnSite&utm_campaign=copyright (https://www.foodnavigator.com/Article/2022/03/02/Risks-of-using-AI-to-grow-our-food-poorly-understood-and-under-appreciated?utm_source=copyright&utm_medium=OnSite&utm_campaign=copyright) Tzachor, A., Devare, M., King, B., Avin, S., & Ó hÉigeartaigh, S. (2022). Responsible artificial intelligence in agriculture requires systemic understanding of risks and externalities. Nature Machine Intelligence. https://www.nature.com/articles/s42256-022-00440-4 (https://www.nature.com/articles/s42256-022-00440-4) Geyer, G. (2023, April 3). Cyber attack overview: JBS foods ransomware incident. Claroty. https://claroty.com/blog/jbs-attack-puts-food-and-beverage-cybersecurity-to-the-test (https://claroty.com/blog/jbs-attack-puts-food-and-beverage-cybersecurity-to-the-test)

13. 

    16 Aug 2024

    AI and Investments

    Sources:Primary sourceZhao, Y. (2023). Research on momentum strategy and contrarian strategy in AI stock prediction. In Proceedings of the 5th International Conference on Computing and Data Science (DOI: 10.54254/2755-2721/29/20231207).Secondary source:Armstrong, R. (2024, June 11). AI can pick stocks better than you can. Financial Times. https://www.ft.com/content/a680e7a2-2799-4fc9-ace9-b01770b260df (https://www.ft.com/content/a680e7a2-2799-4fc9-ace9-b01770b260df) Investopedia. (n.d.). How to use artificial intelligence in your investing. Investopedia. https://www.investopedia.com/how-to-use-artificial-intelligence-in-your-investing-7973810#toc-is-investing-with-ai-suitable-for-beginners (https://www.investopedia.com/how-to-use-artificial-intelligence-in-your-investing-7973810#toc-is-investing-with-ai-suitable-for-beginners) Strata Trust Company. (n.d.). The dark side of AI: Protecting yourself from investment fraud. Strata Trust. https://www.stratatrust.com/insights/the-dark-side-of-ai-protecting-yourself-from-investment-fraud/ (https://www.stratatrust.com/insights/the-dark-side-of-ai-protecting-yourself-from-investment-fraud/)

14. 

    15 Aug 2024

    AI Upskilling & Reskilling for Tomorrow’s Leaders

    Hatzius, J., Briggs, J., Kodnani, D., & Pierdomenico, G. (2023). The Potentially Large Effects of Artificial Intelligence on Economic Growth. Goldman Sachs & Co. LLC.https://www.gspublishing.com/content/research/en/reports/2023/03/27/d64e052b-0f6e-45d7-967b-d7be35fabd16.html (https://www.gspublishing.com/content/research/en/reports/2023/03/27/d64e052b-0f6e-45d7-967b-d7be35fabd16.html) Li, L. (2022). Reskilling and upskilling the future-ready workforce for Industry 4.0 and beyond. Information Systems Frontiers. Advance online publication. https://doi.org/10.1007/s10796-022-10308-y (https://doi.org/10.1007/s10796-022-10308-y) Schreiber-Shearer, N. (2024, April 19). Rethinking upskilling and reskilling in the age of AI. Avatar photo. Gloat.https://gloat.com/blog/upskill-reskill-age-of-ai (https://gloat.com/blog/upskill-reskill-age-of-ai) World Economic Forum. (2016). The future of jobs: Employment, skills and workforce strategy for the fourth industrial revolution. https://www3.weforum.org/docs/WEF_FOJ_Executive_Summary_Jobs.pdf (https://www3.weforum.org/docs/WEF_FOJ_Executive_Summary_Jobs.pdf)

15. 

    14 Aug 2024

    AI & Emotional Intelligence

    Primary sources: Research paper:Rainie, L., & Anderson, J. (2024). A new age of enlightenment? A new threat to humanity? Experts imagine the impact of artificial intelligence by 2040. Imagining the Digital Future. https://imaginingthedigitalfuture.org/wp-content/uploads/2024/02/AI2040-FINAL-White-Paper-2-2.29.24.pdf (https://imaginingthedigitalfuture.org/wp-content/uploads/2024/02/AI2040-FINAL-White-Paper-2-2.29.24.pdf)Coronado-Maldonado, I., & Benítez-Márquez, M.-D. (2023). Emotional intelligence, leadership, and work teams: A hybrid literature review. Heliyon. https://doi.org/10.1016/j.heliyon.2023.e20356 (https://doi.org/10.1016/j.heliyon.2023.e20356)Fernández-Berrocal, P., & Extremera, N. (2006). Emotional intelligence: A theoretical and empirical review of its first 15 years of history. Psicothema, 18, 7-12. Universidad de Oviedo, Oviedo, España. Retrieved from https://www.redalyc.org/pdf/727/72709502.pdf (https://www.redalyc.org/pdf/727/72709502.pdf)Milton, J., & Al-Busaidi, A. (2023). New role of leadership in AI era: Educational sector. SHS Web of Conferences, 156, 09005. https://doi.org/10.1051/shsconf/202315609005 (https://doi.org/10.1051/shsconf/202315609005)Titareva, T. (2021). Leadership in an Artificial Intelligence Era. Paper presented at the Leading Change Conference 2021, School of Strategic Leadership Studies, James Madison University. Retrieved July 6, 2024, from https://d1wqtxts1xzle7.cloudfront.net/109640848/388568045-libre.pdf (https://d1wqtxts1xzle7.cloudfront.net/109640848/388568045-libre.pdf) Malek, M. (2000). Relationship between emotional intelligence and collaborative conflict resolution styles (Doctoral dissertation, United States International University). ProQuest Dissertations & Theses Global. (9970564) Secondary sources:Harvard Business Review. (2015, April). How emotional intelligence became a key leadership skill. Harvard Business Review. Retrieved from https://hbr.org/2015/04/how-emotional-intelligence-became-a-key-leadership-skill (https://hbr.org/2015/04/how-emotional-intelligence-became-a-key-leadership-skill) Harvard Business Review. (2019, November). The risks of using AI to interpret human emotions. Harvard Business Review. Retrieved from https://hbr.org/2019/11/the-risks-of-using-ai-to-interpret-human-emotions (https://hbr.org/2019/11/the-risks-of-using-ai-to-interpret-human-emotions) Harvard Business Review. (2022, January). Can AI teach us how to become more emotionally intelligent? Harvard Business Review.

16. 

    13 Aug 2024

    AI and Social Change

    Primary Sources Gambelin, O. (2021). Brave: What it means to be an AI ethicist. AI and Ethics, 1(1), 87–91. https://doi.org/10.1007/s43681-020-00020-5 (https://doi.org/10.1007/s43681-020-00020-5) Rainie, L., & Anderson, J. (2024). A new age of enlightenment? A new threat to humanity? Experts imagine the impact of artificial intelligence by 2040. Imagining the Digital Future. https://imaginingthedigitalfuture.org/wp-content/uploads/2024/02/AI2040-FINAL-White-Paper-2-2.29.24.pdf (https://imaginingthedigitalfuture.org/wp-content/uploads/2024/02/AI2040-FINAL-White-Paper-2-2.29.24.pdf) Wang, W., & Siau, K. (2018). Ethical and moral issues with AI. AMCIS 2018 Proceedings, 21. https://aisel.aisnet.org/amcis2018/AdvancesIS/Presentations/21 (https://aisel.aisnet.org/amcis2018/AdvancesIS/Presentations/21) Bossmann, J. (2016). Top 9 ethical issues in artificial intelligence. World Economic Forum. Retrieved from https://www.weforum.org/ethical-issues-in-AI (https://www.weforum.org/ethical-issues-in-AI) Bryant, K. (2023, December 13). How AI is impacting society and shaping the future. Forbes. https://www.forbes.com/sites/kalinabryant/2023/12/13/how-ai-is-impacting-society-and-shapng-the-future/ (https://www.forbes.com/sites/kalinabryant/2023/12/13/how-ai-is-impacting-society-and-shapng-the-future/) Industry views. (2024, February 26). AI and society: A case study on positive social change. TechUK. https://www.techuk.org/resource/ai-and-society-a-case-study-on-positive-social-change.html (https://www.techuk.org/resource/ai-and-society-a-case-study-on-positive-social-change.html) Secondary SourcesMarr, B. (2018). Is artificial intelligence dangerous? 6 AI risks everyone should know about. Forbes. https://www.forbes.com/sites/bernardmarr/2018/11/19/is-artificial-intelligence-dangerous-6-ai-risks-everyone-should-know-about/?sh=76781a482404 (https://www.forbes.com/sites/bernardmarr/2018/11/19/is-artificial-intelligence-dangerous-6-ai-risks-everyone-should-know-about/?sh=76781a482404)

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