---
title: "Telling Speculative Stories to Help Humans Imagine the Harms of"
description: "The authors propose a human-centered foresight framework. 94 references. Among them: 0."
authors: ["Xingmeng Zhao", "Tongnian Wang", "Dan Schumacher", "Veronica Rammouz", "Anthony Rios"]
year: 2026
venue: "Findings of the Association for Computational Linguistics: ACL 2026"
source: "https://aclanthology.org/2026.findings-acl.413/"
doi: "10.18653/v1/2026.findings-acl.413"
licence: "CC BY 4.0 (ACL Anthology)"
licence_url: "https://creativecommons.org/licenses/by/4.0/"
summary_licence: "Elamur Cosmic License"
canonical: "https://research.elamur.ai/free/en/papers/zhao-2026-telling-speculative-stories-help-humans/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/zhao-2026-telling-speculative-stories-help-humans/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [2026](https://md.research.elamur.ai/free/en/papers/2026/page/52/) / Telling Speculative Stories to Help Humans Imagine the Harms of Healthcare AI

# Telling Speculative Stories to Help Humans Imagine the Harms of Healthcare AI

**Authors:** Xingmeng Zhao, Tongnian Wang, Dan Schumacher, Veronica Rammouz and [Anthony Rios](https://md.research.elamur.ai/free/en/authors/anthony-rios/) · **Year:** 2026 · **Venue:** [Findings of the Association for Computational Linguistics: ACL 2026](https://md.research.elamur.ai/free/en/venues/findings/) ([Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)) · **Publisher:** [Association for Computational Linguistics](https://md.research.elamur.ai/free/en/publishers/association-for-computational-linguistics/) · **Licence:** [CC BY 4.0 (ACL Anthology)](https://creativecommons.org/licenses/by/4.0/)

**Links:** [Publisher's page](https://aclanthology.org/2026.findings-acl.413/) · [PDF](https://aclanthology.org/2026.findings-acl.413.pdf) · [DOI 10.18653/v1/2026.findings-acl.413](https://doi.org/10.18653/v1/2026.findings-acl.413) · [OpenAlex](https://openalex.org/W7166877925)

**Citations:** 0 citations (OpenAlex, 2026-10-14)

## Summary
Even non-experts can now rapidly build prototypes of healthcare AI, including mental health chatbots, wellness-tracking apps and stress-monitoring systems. They can still cause harms like bias, privacy loss or unequal access. Existing aids that flag risks automatically, such as RiskRAG, AHA! and Farsight, may leave people less involved in ethical reasoning.

The authors propose a human-centered foresight framework. It turns a description of an AI application into plausible near-future user stories and pairs them with multi-agent red-team discussions. A three-layer agent pipeline works as follows:
- it first builds the scenario's people and environment;
- it then simulates their interactions with the system, with tool outputs produced at runtime;
- it finally rewrites the simulation logs as short stories.

In a user study, participants exposed to stories and discussion spread the harms they identified across all 17 harm categories. Participants without stories concentrated mainly on privacy and well-being. The results suggest that narrative framing helps people foresee risks and benefits for diverse users before deployment, keeping human judgment central instead of handing speculation over to AI.

## Key points
- The source set contains 38 consumer-health AI applications, collected manually from Wired articles, industry product descriptions and PubMed papers. Each was mapped to a realistic use-case scenario.
- The pipeline has Context, Logic and Narrative layers. Its agents include Persona, Environment Modeling, Incentive/Constraint and Storyteller agents.
- In the STORY+DISCUSSION condition, harms were distributed more evenly over 17 harm types. In the no-story condition, 79.1% of responses focused on privacy and well-being.
- Evaluation used model cards as a tool and a single LLM judge for pairwise comparisons, checked against human agreement. The user study was small and involved mostly technically trained university participants.
- Code, prompts and the dataset are released at github.com/Language-Technology-Lab/speculative-storytelling-healthcare. The work was funded by NSF Grant No. 2145357.

*Our summary of the paper, in our own words — not its text. The work belongs to its authors; read it at the links above.*

## Institutions

- [The University of Texas at San Antonio](https://md.research.elamur.ai/free/en/universities/the-university-of-texas-at-san-antonio/) — University, San Antonio, United States · 5 works · 25 citations

Also on the byline: [University of Colorado Anschutz](https://ror.org/03wmf1y16).

📚 Shelves (6): [🖥️ Computer Science](https://md.research.elamur.ai/free/en/shelves/computer-science/) · 18,614 works · [🤖 Artificial Intelligence](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · 17,965 works · [🤝 Social Sciences](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · 1,954 works · [🤝 Safety Research](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · 626 works · [🩺 Medicine](https://md.research.elamur.ai/free/en/shelves/medicine/) · 275 works · [🩺 Health Informatics](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/) · 214 works

## Cite

Cite as: Xingmeng Zhao, Tongnian Wang, Dan Schumacher, Veronica Rammouz and Anthony Rios. 2026. Telling Speculative Stories to Help Humans Imagine the Harms of Healthcare AI. Findings of the Association for Computational Linguistics: ACL 2026.

The paper itself, not this page. BibTeX from the library's record of the work.

```bibtex
@inproceedings{zhao2026telling,
  title = {{Telling Speculative Stories to Help Humans Imagine the Harms of Healthcare AI}},
  author = {Xingmeng Zhao, Tongnian Wang, Dan Schumacher, Veronica Rammouz and Anthony Rios},
  booktitle = {Findings of the Association for Computational Linguistics: ACL 2026},
  year = {2026},
  doi = {10.18653/v1/2026.findings-acl.413},
  url = {https://doi.org/10.18653/v1/2026.findings-acl.413}
}
```

- [← previous Telegraph English: Semantic Prompt Compression via Structured Symbolic Rewriting](https://md.research.elamur.ai/free/en/papers/arbuzov-2026-telegraph-english-semantic-prompt-compression/)
- [next → TELÓ: AI-Driven Automatic Subtitling for the Promotion of the Performing Arts](https://md.research.elamur.ai/free/en/papers/oliver-2026-telo-ai-driven-automatic-subtitling/)
- [↑ back to papers of 2026](https://md.research.elamur.ai/free/en/papers/2026/page/52/)

## References

94 references, 6 of them with a card of ours. ↗ leads to the work, «find» searches for one we have no id for yet.

1. Donna Rose Addis, Ling Pan, Mai-Anh Vu, Noa Laiser, and Daniel L Schacter. 2009. Constructive episodic simulation of the future and the past: Distinct subsystems of a core brain network mediate imagining and remembering. Neuropsychologia, 47(11):2222– 2238. [find](https://scholar.google.com/scholar?q=Donna+Rose+Addis%2C+Ling+Pan%2C+Mai%2DAnh+Vu%2C+Noa+Laiser%2C+and+Daniel+L+Schacter%2E+2009%2E+Constructive+episodic+simulation+of+the+future+and+the+past%3A+Distinct+subsystems+of+a+core+brain+network+mediate+imagin)
2. Arwa I Alhussain and Aqil M Azmi. 2021. Automatic story generation: A survey of approaches. ACM Computing Surveys (CSUR), 54(5):1–38. [find](https://scholar.google.com/scholar?q=Arwa+I+Alhussain+and+Aqil+M+Azmi%2E+2021%2E+Automatic+story+generation%3A+A+survey+of+approaches%2E+ACM+Computing+Surveys+%28CSUR%29%2C+54%285%29%3A1%E2%80%9338%2E)
3. Onur Asan, Euiji Choi, and Xiaomei Wang. 2023. Artificial intelligence–based consumer health informatics application: scoping review. Journal of medical Internet research, 25:e47260. [find](https://scholar.google.com/scholar?q=Onur+Asan%2C+Euiji+Choi%2C+and+Xiaomei+Wang%2E+2023%2E+Artificial+intelligence%E2%80%93based+consumer+health+informatics+application%3A+scoping+review%2E+Journal+of+medical+Internet+research%2C+25%3Ae47260%2E)
4. Carolyn Ashurst, Solon Barocas, Rosie Campbell, Deborah Raji, and Stuart Russell. 2020. Navigating the broader impacts of ai research. In Proceedings of the NeurIPS Workshop on Navigating the Broader Impacts of AI Research. Accessed: 2025-07-19. [find](https://scholar.google.com/scholar?q=Carolyn+Ashurst%2C+Solon+Barocas%2C+Rosie+Campbell%2C+Deborah+Raji%2C+and+Stuart+Russell%2E+2020%2E+Navigating+the+broader+impacts+of+ai+research%2E+In+Proceedings+of+the+NeurIPS+Workshop+on+Navigating+the+Broader+)
5. James Auger. 2013. Speculative design: crafting the speculation. Digital Creativity, 24(1):11–35. [find](https://scholar.google.com/scholar?q=James+Auger%2E+2013%2E+Speculative+design%3A+crafting+the+speculation%2E+Digital+Creativity%2C+24%281%29%3A11%E2%80%9335%2E)
6. Stephanie Ballard, Karen M Chappell, and Kristen Kennedy. 2019. Judgment call the game: Using value sensitive design and design fiction to surface ethical concerns related to technology. In Proceedings of the 2019 on Designing Interactive Systems Conference, pages 421–433. [find](https://scholar.google.com/scholar?q=Stephanie+Ballard%2C+Karen+M+Chappell%2C+and+Kristen+Kennedy%2E+2019%2E+Judgment+call+the+game%3A+Using+value+sensitive+design+and+design+fiction+to+surface+ethical+concerns+related+to+technology%2E+In+Proceeding)
7. Eric PS Baumer, Mark Blythe, and Theresa Jean Tanenbaum. 2020. Evaluating design fiction: The right tool for the job. In Proceedings of the 2020 ACM Designing Interactive Systems Conference, pages 1901– 1913. [find](https://scholar.google.com/scholar?q=Eric+PS+Baumer%2C+Mark+Blythe%2C+and+Theresa+Jean+Tanenbaum%2E+2020%2E+Evaluating+design+fiction%3A+The+right+tool+for+the+job%2E+In+Proceedings+of+the+2020+ACM+Designing+Interactive+Systems+Conference%2C+pages+190)
8. Avinash Bhat, Austin Coursey, Grace Hu, Sixian Li, Nadia Nahar, Shurui Zhou, Christian Kästner, and Jin L. C. Guo. 2023. Aspirations and practice of ML model documentation: Moving the needle with nudging and traceability. In Proceedings of the 2023 CHI Conference on Human Factors in Computing System… [find](https://scholar.google.com/scholar?q=Avinash+Bhat%2C+Austin+Coursey%2C+Grace+Hu%2C+Sixian+Li%2C+Nadia+Nahar%2C+Shurui+Zhou%2C+Christian+K%C3%A4stner%2C+and+Jin+L%2E+C%2E+Guo%2E+2023%2E+Aspirations+and+practice+of+ML+model+documentation%3A+Moving+the+needle+with+nudg)
9. Joseph R Biden. 2023. Executive order on the safe, secure, and trustworthy development and use of artificial intelligence. [find](https://scholar.google.com/scholar?q=Joseph+R+Biden%2E+2023%2E+Executive+order+on+the+safe%2C+secure%2C+and+trustworthy+development+and+use+of+artificial+intelligence%2E)
10. Julian Bleecker. 2022. Design fiction: A short essay on design, science, fact, and fiction. Machine learning and the city: applications in architecture and urban design, pages 561–578. [find](https://scholar.google.com/scholar?q=Julian+Bleecker%2E+2022%2E+Design+fiction%3A+A+short+essay+on+design%2C+science%2C+fact%2C+and+fiction%2E+Machine+learning+and+the+city%3A+applications+in+architecture+and+urban+design%2C+pages+561%E2%80%93578%2E)
11. Zana Buçinca, Chau Minh Pham, Maurice Jakesch, Marco Tulio Ribeiro, Alexandra Olteanu, and Saleema Amershi. 2023. Aha!: Facilitating ai impact assessment by generating examples of harms. ArXiv preprint, abs/2306.03280. — [arXiv:2306.03280](https://arxiv.org/abs/2306.03280) [find](https://scholar.google.com/scholar?q=Zana+Bu%C3%A7inca%2C+Chau+Minh+Pham%2C+Maurice+Jakesch%2C+Marco+Tulio+Ribeiro%2C+Alexandra+Olteanu%2C+and+Saleema+Amershi%2E+2023%2E+Aha%21%3A+Facilitating+ai+impact+assessment+by+generating+examples+of+harms%2E+ArXiv+preprin)
12. Alison Callahan, Duncan McElfresh, Juan M Banda, Gabrielle Bunney, Danton Char, Jonathan Chen, Conor K Corbin, Debadutta Dash, Norman L Downing, Sneha S Jain, et al. 2024. Standing on furm ground: a framework for evaluating fair, useful, and reliable ai models in health care systems. NEJM Catalyst I… [find](https://scholar.google.com/scholar?q=Alison+Callahan%2C+Duncan+McElfresh%2C+Juan+M+Banda%2C+Gabrielle+Bunney%2C+Danton+Char%2C+Jonathan+Chen%2C+Conor+K+Corbin%2C+Debadutta+Dash%2C+Norman+L+Downing%2C+Sneha+S+Jain%2C+et+al%2E+2024%2E+Standing+on+furm+ground%3A+a+f)
13. Crystal T Chang, Hodan Farah, Haiwen Gui, Shawheen Justin Rezaei, Charbel Bou-Khalil, Ye-Jean Park, Akshay Swaminathan, Jesutofunmi A Omiye, Akaash Kolluri, Akash Chaurasia, et al. 2025. Red teaming chatgpt in medicine to yield real-world insights on model behavior. npj Digital Medicine, 8(1):149. [find](https://scholar.google.com/scholar?q=Crystal+T+Chang%2C+Hodan+Farah%2C+Haiwen+Gui%2C+Shawheen+Justin+Rezaei%2C+Charbel+Bou%2DKhalil%2C+Ye%2DJean+Park%2C+Akshay+Swaminathan%2C+Jesutofunmi+A+Omiye%2C+Akaash+Kolluri%2C+Akash+Chaurasia%2C+et+al%2E+2025%2E+Red+teaming+c)
14. Jing Chen, Xinyu Zhu, Cheng Yang, Chufan Shi, Yadong Xi, Yuxiang Zhang, Junjie Wang, Jiashu Pu, Tian Feng, Yujiu Yang, et al. 2024. Hollmwood: Unleashing the creativity of large language models in screenwriting via role playing. In Findings of the Association for Computational Linguistics: EMNLP 202… [find](https://scholar.google.com/scholar?q=Jing+Chen%2C+Xinyu+Zhu%2C+Cheng+Yang%2C+Chufan+Shi%2C+Yadong+Xi%2C+Yuxiang+Zhang%2C+Junjie+Wang%2C+Jiashu+Pu%2C+Tian+Feng%2C+Yujiu+Yang%2C+et+al%2E+2024%2E+Hollmwood%3A+Unleashing+the+creativity+of+large+language+models+in+scr)
15. Sribala Vidyadhari Chinta, Zichong Wang, Avash Palikhe, Xingyu Zhang, Ayesha Kashif, Monique Antoinette Smith, Jun Liu, and Wenbin Zhang. 2025. Ai-driven healthcare: Fairness in ai healthcare: A survey. PLOS Digital Health, 4(5):e0000864. [find](https://scholar.google.com/scholar?q=Sribala+Vidyadhari+Chinta%2C+Zichong+Wang%2C+Avash+Palikhe%2C+Xingyu+Zhang%2C+Ayesha+Kashif%2C+Monique+Antoinette+Smith%2C+Jun+Liu%2C+and+Wenbin+Zhang%2E+2025%2E+Ai%2Ddriven+healthcare%3A+Fairness+in+ai+healthcare%3A+A+surve)
16. Minyang Chow and Olivia Ng. 2025. From technology adopters to creators: Leveraging ai-assisted vibe coding to transform clinical teaching and learning. Medical Teacher, pages 1–3. [find](https://scholar.google.com/scholar?q=Minyang+Chow+and+Olivia+Ng%2E+2025%2E+From+technology+adopters+to+creators%3A+Leveraging+ai%2Dassisted+vibe+coding+to+transform+clinical+teaching+and+learning%2E+Medical+Teacher%2C+pages+1%E2%80%933%2E)
17. Margaret Chustecki. 2024. Benefits and risks of ai in health care: Narrative review. Interactive Journal of Medical Research, 13(1):e53616. [find](https://scholar.google.com/scholar?q=Margaret+Chustecki%2E+2024%2E+Benefits+and+risks+of+ai+in+health+care%3A+Narrative+review%2E+Interactive+Journal+of+Medical+Research%2C+13%281%29%3Ae53616%2E)
18. Jacob Cohen. 1960. A coefficient of agreement for nominal scales. Educational and psychological measurement, 20(1):37–46. [find](https://scholar.google.com/scholar?q=Jacob+Cohen%2E+1960%2E+A+coefficient+of+agreement+for+nominal+scales%2E+Educational+and+psychological+measurement%2C+20%281%29%3A37%E2%80%9346%2E)
19. Anamaria Crisan, Margaret Drouhard, Jesse Vig, and Nazneen Rajani. 2022. Interactive model cards: A human-centered approach to model documentation. In Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency, pages 427– 439. [find](https://scholar.google.com/scholar?q=Anamaria+Crisan%2C+Margaret+Drouhard%2C+Jesse+Vig%2C+and+Nazneen+Rajani%2E+2022%2E+Interactive+model+cards%3A+A+human%2Dcentered+approach+to+model+documentation%2E+In+Proceedings+of+the+2022+ACM+Conference+on+Fairnes)
20. Wesley Hanwen Deng, Solon Barocas, and Jennifer Wortman Vaughan. 2025. Supporting industry computing researchers in assessing, articulating, and addressing the potential negative societal impact of their work. Proceedings of the ACM on Human-Computer Interaction, 9(2):1–37. [find](https://scholar.google.com/scholar?q=Wesley+Hanwen+Deng%2C+Solon+Barocas%2C+and+Jennifer+Wortman+Vaughan%2E+2025%2E+Supporting+industry+computing+researchers+in+assessing%2C+articulating%2C+and+addressing+the+potential+negative+societal+impact+of+th)
21. Leon Derczynski, Hannah Rose Kirk, Vidhisha Balachandran, Sachin Kumar, Yulia Tsvetkov, and Saif Mohammad. 2023. Assessing language model deployment with risk cards. ArXiv preprint, abs/2303.18190. — [arXiv:2303.18190](https://arxiv.org/abs/2303.18190) [find](https://scholar.google.com/scholar?q=Leon+Derczynski%2C+Hannah+Rose+Kirk%2C+Vidhisha+Balachandran%2C+Sachin+Kumar%2C+Yulia+Tsvetkov%2C+and+Saif+Mohammad%2E+2023%2E+Assessing+language+model+deployment+with+risk+cards%2E+ArXiv+preprint%2C+abs%2F2303%2E18190%2E+%E2%80%94+)
22. Anthony Dunne and Fiona Raby. 2024. Speculative Everything, With a new preface by the authors: Design, Fiction, and Social Dreaming. MIT press. [find](https://scholar.google.com/scholar?q=Anthony+Dunne+and+Fiona+Raby%2E+2024%2E+Speculative+Everything%2C+With+a+new+preface+by+the+authors%3A+Design%2C+Fiction%2C+and+Social+Dreaming%2E+MIT+press%2E)
23. Sanghamitra Dutta, Dennis Wei, Hazar Yueksel, Pin-Yu Chen, Sijia Liu, and Kush R. Varshney. 2020. Is there a trade-off between fairness and accuracy? A perspective using mismatched hypothesis testing. In Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020… [find](https://scholar.google.com/scholar?q=Sanghamitra+Dutta%2C+Dennis+Wei%2C+Hazar+Yueksel%2C+Pin%2DYu+Chen%2C+Sijia+Liu%2C+and+Kush+R%2E+Varshney%2E+2020%2E+Is+there+a+trade%2Doff+between+fairness+and+accuracy%3F+A+perspective+using+mismatched+hypothesis+testing%2E)
24. European Parliament. 2023. Artificial intelligence act: deal on comprehensive rules for trustworthy AI. [https://www.europarl.europa.eu/news/en/press-room/20231206IPR15699/artificial-intelligence-act-deal-on-comprehensive-rules-for-trustworthy-ai](https://www.europarl.europa.eu/news/en/press-room/20231206IPR15699/artificial-intelligence-act-deal-on-comprehensive-rules-for-trustworthy-ai). Accessed: 2024-07-19. [↗](https://www.europarl.europa.eu/news/en/press-room/20231206IPR15699/artificial-intelligence-act-deal-on-comprehensive-rules-for-trustworthy-ai)
25. Antonio Fabbrizio, Alberto Fucarino, Manuela Cantoia, Andrea De Giorgio, Nuno D Garrido, Enzo Iuliano, Victor Machado Reis, Martina Sausa, José Vilaça-Alves, Giovanna Zimatore, et al. 2023. Smart devices for health and wellness applied to tele-exercise: An overview of new trends and technologies suc… [find](https://scholar.google.com/scholar?q=Antonio+Fabbrizio%2C+Alberto+Fucarino%2C+Manuela+Cantoia%2C+Andrea+De+Giorgio%2C+Nuno+D+Garrido%2C+Enzo+Iuliano%2C+Victor+Machado+Reis%2C+Martina+Sausa%2C+Jos%C3%A9+Vila%C3%A7a%2DAlves%2C+Giovanna+Zimatore%2C+et+al%2E+2023%2E+Smart+devi)
26. Angela Fan, Mike Lewis, and Yann Dauphin. 2019. Strategies for structuring story generation. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 2650– 2660, Florence, Italy. Association for Computational Linguistics. [find](https://scholar.google.com/scholar?q=Angela+Fan%2C+Mike+Lewis%2C+and+Yann+Dauphin%2E+2019%2E+Strategies+for+structuring+story+generation%2E+In+Proceedings+of+the+57th+Annual+Meeting+of+the+Association+for+Computational+Linguistics%2C+pages+2650%E2%80%93+266)
27. Oscar Freyer, Kamil J Wrona, Quentin de Snoeck, Moritz Hofmann, Tom Melvin, Ashley Stratton-Powell, Paul Wicks, Acacia C Parks, and Stephen Gilbert. 2024. The regulatory status of health apps that employ gamification. Scientific Reports, 14(1):21016. [find](https://scholar.google.com/scholar?q=Oscar+Freyer%2C+Kamil+J+Wrona%2C+Quentin+de+Snoeck%2C+Moritz+Hofmann%2C+Tom+Melvin%2C+Ashley+Stratton%2DPowell%2C+Paul+Wicks%2C+Acacia+C+Parks%2C+and+Stephen+Gilbert%2E+2024%2E+The+regulatory+status+of+health+apps+that+emp)
28. Pascale Fung, Yoram Bachrach, Asli Celikyilmaz, Kamalika Chaudhuri, Delong Chen, Willy Chung, Emmanuel Dupoux, Hongyu Gong, Hervé Jégou, Alessandro Lazaric, et al. 2025. Embodied ai agents: Modeling the world. arXiv preprint arXiv:2506.22355. — [arXiv:2506.22355](https://arxiv.org/abs/2506.22355) [find](https://scholar.google.com/scholar?q=Pascale+Fung%2C+Yoram+Bachrach%2C+Asli+Celikyilmaz%2C+Kamalika+Chaudhuri%2C+Delong+Chen%2C+Willy+Chung%2C+Emmanuel+Dupoux%2C+Hongyu+Gong%2C+Herv%C3%A9+J%C3%A9gou%2C+Alessandro+Lazaric%2C+et+al%2E+2025%2E+Embodied+ai+agents%3A+Modeling+t)
29. Stephen Gilbert, Rasmus Adler, Taras Holoyad, and Eva Weicken. 2025. Could transparent model cards with layered accessible information drive trust and safety in health ai? npj Digital Medicine, 8(1):124. [find](https://scholar.google.com/scholar?q=Stephen+Gilbert%2C+Rasmus+Adler%2C+Taras+Holoyad%2C+and+Eva+Weicken%2E+2025%2E+Could+transparent+model+cards+with+layered+accessible+information+drive+trust+and+safety+in+health+ai%3F+npj+Digital+Medicine%2C+8%281%29%3A1)
30. Aaron Grattafiori, Abhimanyu Dubey, Abhinav Jauhri, Abhinav Pandey, Abhishek Kadian, Ahmad Al-Dahle, Aiesha Letman, Akhil Mathur, Alan Schelten, Alex Vaughan, et al. 2024. [The llama 3 herd of models](https://md.research.elamur.ai/free/en/papers/grattafiori-2024-llama-3-herd-models/). arXiv preprint arXiv:2407.21783.
31. Senyu Han, Lu Chen, Li-Min Lin, Zhengshan Xu, and Kai Yu. 2024. Ibsen: Director-actor agent collaboration for controllable and interactive drama script generation. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1607–1619. [find](https://scholar.google.com/scholar?q=Senyu+Han%2C+Lu+Chen%2C+Li%2DMin+Lin%2C+Zhengshan+Xu%2C+and+Kai+Yu%2E+2024%2E+Ibsen%3A+Director%2Dactor+agent+collaboration+for+controllable+and+interactive+drama+script+generation%2E+In+Proceedings+of+the+62nd+Annual+Me)
32. Monique Hennink and Bonnie N Kaiser. 2022. Sample sizes for saturation in qualitative research: A systematic review of empirical tests. Social science & medicine, 292:114523. [find](https://scholar.google.com/scholar?q=Monique+Hennink+and+Bonnie+N+Kaiser%2E+2022%2E+Sample+sizes+for+saturation+in+qualitative+research%3A+A+systematic+review+of+empirical+tests%2E+Social+science+%26+medicine%2C+292%3A114523%2E)
33. Viviane Herdel, Sanja Šćepanović, Edyta Bogucka, and Daniele Quercia. 2024. Exploregen: Large language models for envisioning the uses and risks of ai technologies. In Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, volume 7, pages 584–596. [find](https://scholar.google.com/scholar?q=Viviane+Herdel%2C+Sanja+%C5%A0c%CC%81epanovic%CC%81%2C+Edyta+Bogucka%2C+and+Daniele+Quercia%2E+2024%2E+Exploregen%3A+Large+language+models+for+envisioning+the+uses+and+risks+of+ai+technologies%2E+In+Proceedings+of+the+AAAI%2FACM+Co)
34. Julian Herpertz, Bridget Dwyer, Jacob Taylor, Nils Opel, and John Torous. 2025. Developing a standardized framework for evaluating health apps using natural language processing. Scientific Reports, 15(1):11775. [find](https://scholar.google.com/scholar?q=Julian+Herpertz%2C+Bridget+Dwyer%2C+Jacob+Taylor%2C+Nils+Opel%2C+and+John+Torous%2E+2025%2E+Developing+a+standardized+framework+for+evaluating+health+apps+using+natural+language+processing%2E+Scientific+Reports%2C+15)
35. Ti Hoang, Rohit Ashok Khot, Noel Waite, and Florian’Floyd’ Mueller. 2018. What can speculative design teach us about designing for healthcare services? In Proceedings of the 30th Australian Conference on Computer-Human Interaction, pages 463–472. [find](https://scholar.google.com/scholar?q=Ti+Hoang%2C+Rohit+Ashok+Khot%2C+Noel+Waite%2C+and+Florian%E2%80%99Floyd%E2%80%99+Mueller%2E+2018%2E+What+can+speculative+design+teach+us+about+designing+for+healthcare+services%3F+In+Proceedings+of+the+30th+Australian+Conference)
36. Fantine Huot, Reinald Kim Amplayo, Jennimaria Palomaki, Alice Shoshana Jakobovits, Elizabeth Clark, and Mirella Lapata. Agents’ room: Narrative generation through multi-step collaboration. In The Thirteenth International Conference on Learning Representations. [find](https://scholar.google.com/scholar?q=Fantine+Huot%2C+Reinald+Kim+Amplayo%2C+Jennimaria+Palomaki%2C+Alice+Shoshana+Jakobovits%2C+Elizabeth+Clark%2C+and+Mirella+Lapata%2E+Agents%E2%80%99+room%3A+Narrative+generation+through+multi%2Dstep+collaboration%2E+In+The+Thir)
37. Aaron Hurst, Adam Lerer, Adam P Goucher, Adam Perelman, Aditya Ramesh, Aidan Clark, AJ Ostrow, Akila Welihinda, Alan Hayes, Alec Radford, et al. 2024. [Gpt-4o system card](https://md.research.elamur.ai/free/en/papers/openai-2024-gpt-4o-system-card/). arXiv preprint arXiv:2410.21276.
38. PN Johnson-Laird. 1983. Mental models: Towards a cognitive science of language, inference, and consciousness. Harvard University Press. [find](https://scholar.google.com/scholar?q=PN+Johnson%2DLaird%2E+1983%2E+Mental+models%3A+Towards+a+cognitive+science+of+language%2C+inference%2C+and+consciousness%2E+Harvard+University+Press%2E)
39. Ali Kargarandehkordi, Shizhe Li, Kaiying Lin, Kristina T Phillips, Roberto M Benzo, and Peter Washington. 2025. Fusing wearable biosensors with artificial intelligence for mental health monitoring: A systematic review. Biosensors, 15(4):202. [find](https://scholar.google.com/scholar?q=Ali+Kargarandehkordi%2C+Shizhe+Li%2C+Kaiying+Lin%2C+Kristina+T+Phillips%2C+Roberto+M+Benzo%2C+and+Peter+Washington%2E+2025%2E+Fusing+wearable+biosensors+with+artificial+intelligence+for+mental+health+monitoring%3A+A+)
40. David Kenny. 2023. Vibe coding with ai in medtech software development. [https://medium.com/nerd-for-tech/vibe-coding-with-ai-in-medtech-software-development-8d3928bfda72](https://medium.com/nerd-for-tech/vibe-coding-with-ai-in-medtech-software-development-8d3928bfda72). Accessed: 2025-07-23. [↗](https://medium.com/nerd-for-tech/vibe-coding-with-ai-in-medtech-software-development-8d3928bfda72)
41. Muhammad Mohsin Khan, Noman Shah, Nissar Shaikh, Abdulnasser Thabet, Sirajeddin Belkhair, et al. 2025. Towards secure and trusted ai in healthcare: a systematic review of emerging innovations and ethical challenges. International Journal of Medical Informatics, 195:105780. [find](https://scholar.google.com/scholar?q=Muhammad+Mohsin+Khan%2C+Noman+Shah%2C+Nissar+Shaikh%2C+Abdulnasser+Thabet%2C+Sirajeddin+Belkhair%2C+et+al%2E+2025%2E+Towards+secure+and+trusted+ai+in+healthcare%3A+a+systematic+review+of+emerging+innovations+and+ethi)
42. Sara Kingsley, Jiayin Zhi, Wesley Hanwen Deng, Jaimie Lee, Sizhe Zhang, Motahhare Eslami, Kenneth Holstein, Jason I Hong, Tianshi Li, and Hong Shen. 2024. Investigating what factors influence users’ rating of harmful algorithmic bias and discrimination. In Proceedings of the AAAI Conference on Human… [find](https://scholar.google.com/scholar?q=Sara+Kingsley%2C+Jiayin+Zhi%2C+Wesley+Hanwen+Deng%2C+Jaimie+Lee%2C+Sizhe+Zhang%2C+Motahhare+Eslami%2C+Kenneth+Holstein%2C+Jason+I+Hong%2C+Tianshi+Li%2C+and+Hong+Shen%2E+2024%2E+Investigating+what+factors+influence+users%E2%80%99+r)
43. Shamika Klassen and Casey Fiesler. 2022. " run wild a little with your imagination" ethical speculation in computing education with black mirror. In Proceedings of the 53rd ACM Technical Symposium on Computer Science Education-Volume 1, pages 836– 842. [find](https://scholar.google.com/scholar?q=Shamika+Klassen+and+Casey+Fiesler%2E+2022%2E+%22+run+wild+a+little+with+your+imagination%22+ethical+speculation+in+computing+education+with+black+mirror%2E+In+Proceedings+of+the+53rd+ACM+Technical+Symposium+on+)
44. Nataliya Kosmyna, Eugene Hauptmann, Ye Tong Yuan, Jessica Situ, Xian-Hao Liao, Ashly Vivian Beres-nitzky, Iris Braunstein, and Pattie Maes. 2025. Your brain on chatgpt: Accumulation of cognitive debt when using an ai assistant for essay writing task. ArXiv preprint, abs/2506.08872. — [arXiv:2506.08872](https://arxiv.org/abs/2506.08872) [find](https://scholar.google.com/scholar?q=Nataliya+Kosmyna%2C+Eugene+Hauptmann%2C+Ye+Tong+Yuan%2C+Jessica+Situ%2C+Xian%2DHao+Liao%2C+Ashly+Vivian+Beres%2Dnitzky%2C+Iris+Braunstein%2C+and+Pattie+Maes%2E+2025%2E+Your+brain+on+chatgpt%3A+Accumulation+of+cognitive+debt+)
45. Emily Kuang, Ehsan Jahangirzadeh Soure, Mingming Fan, Jian Zhao, and Kristen Shinohara. 2023. Collaboration with conversational AI assistants for UX evaluation: Questions and how to ask them (voice vs. text). In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, CHI 2023,… [find](https://scholar.google.com/scholar?q=Emily+Kuang%2C+Ehsan+Jahangirzadeh+Soure%2C+Mingming+Fan%2C+Jian+Zhao%2C+and+Kristen+Shinohara%2E+2023%2E+Collaboration+with+conversational+AI+assistants+for+UX+evaluation%3A+Questions+and+how+to+ask+them+%28voice+vs)
46. Woosuk Kwon, Zhuohan Li, Siyuan Zhuang, Ying Sheng, Lianmin Zheng, Cody Hao Yu, Joseph Gonzalez, Hao Zhang, and Ion Stoica. 2023. [Efficient memory management for large language model serving with pagedattention](https://md.research.elamur.ai/free/en/papers/kwon-2023-efficient-memory-management-large-language/). In Proceedings of the 29th symposium on operating systems principles, pages 611–626.
47. Yann LeCun. 2022. A path towards autonomous machine intelligence version 0.9. 2, 2022-06-27. [find](https://scholar.google.com/scholar?q=Yann+LeCun%2E+2022%2E+A+path+towards+autonomous+machine+intelligence+version+0%2E9%2E+2%2C+2022%2D06%2D27%2E)
48. Jiaming Li, Yukun Chen, Ziqiang Liu, Minghuan Tan, Lei Zhang, Yunshui Li, Run Luo, Longze Chen, Jing Luo, Ahmadreza Argha, et al. 2025a. Storyteller: An enhanced plot-planning framework for coherent and cohesive story generation. ArXiv preprint, abs/2506.02347. [find](https://scholar.google.com/scholar?q=Jiaming+Li%2C+Yukun+Chen%2C+Ziqiang+Liu%2C+Minghuan+Tan%2C+Lei+Zhang%2C+Yunshui+Li%2C+Run+Luo%2C+Longze+Chen%2C+Jing+Luo%2C+Ahmadreza+Argha%2C+et+al%2E+2025a%2E+Storyteller%3A+An+enhanced+plot%2Dplanning+framework+for+coherent+a)
49. Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, and Bill Dolan. 2016. [A diversity-promoting objective function for neural conversation models](https://md.research.elamur.ai/free/en/papers/li-2016-diversity-promoting-objective-function-neural/). In Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pag…
50. Michelle M Li, Ben Y Reis, Adam Rodman, Tianxi Cai, Noa Dagan, Ran D Balicer, Joseph Loscalzo, Isaac S Kohane, and Marinka Zitnik. 2025b. One patient, many contexts: Scaling medical ai through contextual intelligence. ArXiv preprint, abs/2506.10157. — [arXiv:2506.10157](https://arxiv.org/abs/2506.10157) [find](https://scholar.google.com/scholar?q=Michelle+M+Li%2C+Ben+Y+Reis%2C+Adam+Rodman%2C+Tianxi+Cai%2C+Noa+Dagan%2C+Ran+D+Balicer%2C+Joseph+Loscalzo%2C+Isaac+S+Kohane%2C+and+Marinka+Zitnik%2E+2025b%2E+One+patient%2C+many+contexts%3A+Scaling+medical+ai+through+context)
51. Tianle Li, Wei-Lin Chiang, Evan Frick, Lisa Dunlap, Tianhao Wu, Banghua Zhu, Joseph E Gonzalez, and Ion Stoica. [From crowdsourced data to high-quality benchmarks: Arena-hard and benchbuilder pipeline](https://md.research.elamur.ai/free/en/papers/li-2024-crowdsourced-data-high-quality-benchmarks/). In Forty-second International Conference on Machine Learning.
52. Marlene Lutz, Indira Sen, Georg Ahnert, Elisa Rogers, and Markus Strohmaier. 2025. The prompt makes the person(a): A systematic evaluation of sociodemographic persona prompting for large language models. In Findings of the Association for Computational Linguistics: EMNLP 2025, pages 23212–23237, Suz… [find](https://scholar.google.com/scholar?q=Marlene+Lutz%2C+Indira+Sen%2C+Georg+Ahnert%2C+Elisa+Rogers%2C+and+Markus+Strohmaier%2E+2025%2E+The+prompt+makes+the+person%28a%29%3A+A+systematic+evaluation+of+sociodemographic+persona+prompting+for+large+language+mode)
53. I. Scott MacKenzie and Steven J. Castellucci. 2016. Empirical research methods for human-computer interaction. In Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems, CHI EA ’16, page 996–999, New York, NY, USA. Association for Computing Machinery. [find](https://scholar.google.com/scholar?q=I%2E+Scott+MacKenzie+and+Steven+J%2E+Castellucci%2E+2016%2E+Empirical+research+methods+for+human%2Dcomputer+interaction%2E+In+Proceedings+of+the+2016+CHI+Conference+Extended+Abstracts+on+Human+Factors+in+Computin)
54. A Luke MacNeill, Shelley Doucet, and Alison Luke. 2024. Effectiveness of a mental health chatbot for people with chronic diseases: randomized controlled trial. JMIR Formative Research, 8:e50025. [find](https://scholar.google.com/scholar?q=A+Luke+MacNeill%2C+Shelley+Doucet%2C+and+Alison+Luke%2E+2024%2E+Effectiveness+of+a+mental+health+chatbot+for+people+with+chronic+diseases%3A+randomized+controlled+trial%2E+JMIR+Formative+Research%2C+8%3Ae50025%2E)
55. Michael A. Madaio, Luke Stark, Jennifer Wortman Vaughan, and Hanna M. Wallach. 2020. Co-designing checklists to understand organizational challenges and opportunities around fairness in AI. In CHI ’20: CHI Conference on Human Factors in Computing Systems, Honolulu, HI, USA, April 25-30, 2020, pages… [find](https://scholar.google.com/scholar?q=Michael+A%2E+Madaio%2C+Luke+Stark%2C+Jennifer+Wortman+Vaughan%2C+and+Hanna+M%2E+Wallach%2E+2020%2E+Co%2Ddesigning+checklists+to+understand+organizational+challenges+and+opportunities+around+fairness+in+AI%2E+In+CHI+%E2%80%9920)
56. Manqing Mao, Paishun Ting, Yijian Xiang, Mingyang Xu, Julia Chen, and Jianzhe Lin. 2024. Multi-user chat assistant (muca): a framework using llms to facilitate group conversations. ArXiv preprint, abs/2401.04883. — [arXiv:2401.04883](https://arxiv.org/abs/2401.04883) [find](https://scholar.google.com/scholar?q=Manqing+Mao%2C+Paishun+Ting%2C+Yijian+Xiang%2C+Mingyang+Xu%2C+Julia+Chen%2C+and+Jianzhe+Lin%2E+2024%2E+Multi%2Duser+chat+assistant+%28muca%29%3A+a+framework+using+llms+to+facilitate+group+conversations%2E+ArXiv+preprint%2C+abs)
57. Ciro Mennella, Umberto Maniscalco, Giuseppe De Pietro, and Massimo Esposito. 2024. Ethical and regulatory challenges of ai technologies in healthcare: A narrative review. Heliyon, 10(4). [find](https://scholar.google.com/scholar?q=Ciro+Mennella%2C+Umberto+Maniscalco%2C+Giuseppe+De+Pietro%2C+and+Massimo+Esposito%2E+2024%2E+Ethical+and+regulatory+challenges+of+ai+technologies+in+healthcare%3A+A+narrative+review%2E+Heliyon%2C+10%284%29%2E)
58. Piotr Mirowski, Kory W. Mathewson, Jaylen Pittman, and Richard Evans. 2023. Co-writing screenplays and theatre scripts with language models: Evaluation by industry professionals. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, CHI 2023, Hamburg, Germany, April 23-28,… [find](https://scholar.google.com/scholar?q=Piotr+Mirowski%2C+Kory+W%2E+Mathewson%2C+Jaylen+Pittman%2C+and+Richard+Evans%2E+2023%2E+Co%2Dwriting+screenplays+and+theatre+scripts+with+language+models%3A+Evaluation+by+industry+professionals%2E+In+Proceedings+of+the)
59. Margaret Mitchell, Simone Wu, Andrew Zaldivar, Parker Barnes, Lucy Vasserman, Ben Hutchinson, Elena Spitzer, Inioluwa Deborah Raji, and Timnit Gebru. 2019. Model cards for model reporting. In Proceedings of the conference on fairness, accountability, and transparency, pages 220–229. [find](https://scholar.google.com/scholar?q=Margaret+Mitchell%2C+Simone+Wu%2C+Andrew+Zaldivar%2C+Parker+Barnes%2C+Lucy+Vasserman%2C+Ben+Hutchinson%2C+Elena+Spitzer%2C+Inioluwa+Deborah+Raji%2C+and+Timnit+Gebru%2E+2019%2E+Model+cards+for+model+reporting%2E+In+Proceedi)
60. Jimin Mun, Liwei Jiang, Jenny Liang, Inyoung Cheong, Nicole DeCairo, Yejin Choi, Tadayoshi Kohno, and Maarten Sap. 2024. Particip-ai: A democratic surveying framework for anticipating future ai use cases, harms and benefits. In Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, volum… [find](https://scholar.google.com/scholar?q=Jimin+Mun%2C+Liwei+Jiang%2C+Jenny+Liang%2C+Inyoung+Cheong%2C+Nicole+DeCairo%2C+Yejin+Choi%2C+Tadayoshi+Kohno%2C+and+Maarten+Sap%2E+2024%2E+Particip%2Dai%3A+A+democratic+surveying+framework+for+anticipating+future+ai+use+ca)
61. Minh-Anh Nguye, Minh-Duc Nguyen, Kieu Hai Dang, Nguyen Tien Dong, Dung D Le, et al. 2025. Surveyg: A multi-agent llm framework with hierarchical citation graph for automated survey generation. arXiv preprint arXiv:2510.07733. — [arXiv:2510.07733](https://arxiv.org/abs/2510.07733) [find](https://scholar.google.com/scholar?q=Minh%2DAnh+Nguye%2C+Minh%2DDuc+Nguyen%2C+Kieu+Hai+Dang%2C+Nguyen+Tien+Dong%2C+Dung+D+Le%2C+et+al%2E+2025%2E+Surveyg%3A+A+multi%2Dagent+llm+framework+with+hierarchical+citation+graph+for+automated+survey+generation%2E+arXiv+p)
62. Susan J Oudbier, Ellen MA Smets, Pythia T Nieuwkerk, David P Neal, S Azam Nurmohamed, Hans J Meij, and Linda W Dusseljee-Peute. 2025. Patients’ experienced usability and satisfaction with digital health solutions in a home setting: Instrument validation study. JMIR Medical Informatics, 13(1):e63703. [find](https://scholar.google.com/scholar?q=Susan+J+Oudbier%2C+Ellen+MA+Smets%2C+Pythia+T+Nieuwkerk%2C+David+P+Neal%2C+S+Azam+Nurmohamed%2C+Hans+J+Meij%2C+and+Linda+W+Dusseljee%2DPeute%2E+2025%2E+Patients%E2%80%99+experienced+usability+and+satisfaction+with+digital+heal)
63. Jeongwoo Ryu, Kyusik Kim, Dongseok Heo, Hyungwoo Song, Changhoon Oh, and Bongwon Suh. 2025. Cinema multiverse lounge: Enhancing film appreciation via multi-agent conversations. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, pages 1–22. [find](https://scholar.google.com/scholar?q=Jeongwoo+Ryu%2C+Kyusik+Kim%2C+Dongseok+Heo%2C+Hyungwoo+Song%2C+Changhoon+Oh%2C+and+Bongwon+Suh%2E+2025%2E+Cinema+multiverse+lounge%3A+Enhancing+film+appreciation+via+multi%2Dagent+conversations%2E+In+Proceedings+of+the+2)
64. Kyeongman Park, Nakyeong Yang, and Kyomin Jung. 2025. Avoidance decoding for diverse multi-branch story generation. In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, pages 7500–7516. [find](https://scholar.google.com/scholar?q=Kyeongman+Park%2C+Nakyeong+Yang%2C+and+Kyomin+Jung%2E+2025%2E+Avoidance+decoding+for+diverse+multi%2Dbranch+story+generation%2E+In+Proceedings+of+the+2025+Conference+on+Empirical+Methods+in+Natural+Language+Proce)
65. Devansh Saxena, Ji-Youn Jung, Jodi Forlizzi, Kenneth Holstein, and John Zimmerman. 2025. Ai mismatches: Identifying potential algorithmic harms before ai development. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, pages 1–23. [find](https://scholar.google.com/scholar?q=Devansh+Saxena%2C+Ji%2DYoun+Jung%2C+Jodi+Forlizzi%2C+Kenneth+Holstein%2C+and+John+Zimmerman%2E+2025%2E+Ai+mismatches%3A+Identifying+potential+algorithmic+harms+before+ai+development%2E+In+Proceedings+of+the+2025+CHI+Co)
66. Aline F Pedroso and Rohan Khera. 2025. Leveraging ai-enhanced digital health with consumer devices for scalable cardiovascular screening, prediction, and monitoring. npj Cardiovascular Health, 2(1):34. [find](https://scholar.google.com/scholar?q=Aline+F+Pedroso+and+Rohan+Khera%2E+2025%2E+Leveraging+ai%2Denhanced+digital+health+with+consumer+devices+for+scalable+cardiovascular+screening%2C+prediction%2C+and+monitoring%2E+npj+Cardiovascular+Health%2C+2%281%29%3A34)
67. Stephen R Pfohl, Heather Cole-Lewis, Rory Sayres, Darlene Neal, Mercy Asiedu, Awa Dieng, Nenad Tomasev, Qazi Mamunur Rashid, Shekoofeh Azizi, Negar Rostamzadeh, et al. 2024. A toolbox for surfacing health equity harms and biases in large language models. Nature Medicine, 30(12):3590–3600. [find](https://scholar.google.com/scholar?q=Stephen+R+Pfohl%2C+Heather+Cole%2DLewis%2C+Rory+Sayres%2C+Darlene+Neal%2C+Mercy+Asiedu%2C+Awa+Dieng%2C+Nenad+Tomasev%2C+Qazi+Mamunur+Rashid%2C+Shekoofeh+Azizi%2C+Negar+Rostamzadeh%2C+et+al%2E+2024%2E+A+toolbox+for+surfacing+he)
68. Vladimir Propp. 1968. Morphology of the Folktale. University of Texas press. [find](https://scholar.google.com/scholar?q=Vladimir+Propp%2E+1968%2E+Morphology+of+the+Folktale%2E+University+of+Texas+press%2E)
69. Bhaktipriya Radharapu, Kevin Robinson, Lora Aroyo, and Preethi Lahoti. 2023. AART: AI-assisted red-teaming with diverse data generation for new LLM-powered applications. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track, pages 380–395, Singapor… [find](https://scholar.google.com/scholar?q=Bhaktipriya+Radharapu%2C+Kevin+Robinson%2C+Lora+Aroyo%2C+and+Preethi+Lahoti%2E+2023%2E+AART%3A+AI%2Dassisted+red%2Dteaming+with+diverse+data+generation+for+new+LLM%2Dpowered+applications%2E+In+Proceedings+of+the+2023+Con)
70. Iyad Rahwan, Azim Shariff, and Jean-François Bonnefon. 2025. The science fiction science method. Nature, 644(8075):51–58. [find](https://scholar.google.com/scholar?q=Iyad+Rahwan%2C+Azim+Shariff%2C+and+Jean%2DFran%C3%A7ois+Bonnefon%2E+2025%2E+The+science+fiction+science+method%2E+Nature%2C+644%288075%29%3A51%E2%80%9358%2E)
71. Yiting Ran, Xintao Wang, Tian Qiu, Jiaqing Liang, Yanghua Xiao, and Deqing Yang. 2025. Bookworld: From novels to interactive agent societies for creative story generation. ArXiv preprint, abs/2504.14538. — [arXiv:2504.14538](https://arxiv.org/abs/2504.14538) [find](https://scholar.google.com/scholar?q=Yiting+Ran%2C+Xintao+Wang%2C+Tian+Qiu%2C+Jiaqing+Liang%2C+Yanghua+Xiao%2C+and+Deqing+Yang%2E+2025%2E+Bookworld%3A+From+novels+to+interactive+agent+societies+for+creative+story+generation%2E+ArXiv+preprint%2C+abs%2F2504%2E145)
72. Pooja SB Rao, Sanja Šćepanović, Ke Zhou, Edyta Paulina Bogucka, and Daniele Quercia. 2025. Riskrag: A data-driven solution for improved ai model risk reporting. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, pages 1–26. [find](https://scholar.google.com/scholar?q=Pooja+SB+Rao%2C+Sanja+%C5%A0c%CC%81epanovic%CC%81%2C+Ke+Zhou%2C+Edyta+Paulina+Bogucka%2C+and+Daniele+Quercia%2E+2025%2E+Riskrag%3A+A+data%2Ddriven+solution+for+improved+ai+model+risk+reporting%2E+In+Proceedings+of+the+2025+CHI+Confer)
73. Stephen Roller, Y-Lan Boureau, Jason Weston, Antoine Bordes, Emily Dinan, Angela Fan, David Gunning, Da Ju, Margaret Li, Spencer Poff, et al. 2020. Open-domain conversational agents: Current progress, open problems, and future directions. ArXiv preprint, abs/2006.12442. — [arXiv:2006.12442](https://arxiv.org/abs/2006.12442) [find](https://scholar.google.com/scholar?q=Stephen+Roller%2C+Y%2DLan+Boureau%2C+Jason+Weston%2C+Antoine+Bordes%2C+Emily+Dinan%2C+Angela+Fan%2C+David+Gunning%2C+Da+Ju%2C+Margaret+Li%2C+Spencer+Poff%2C+et+al%2E+2020%2E+Open%2Ddomain+conversational+agents%3A+Current+progress%2C)
74. Leon Rozenblit, Amy Price, Anthony Solomonides, Amanda L Joseph, Gyana Srivastava, Steven Labkoff, Dave Debronkart, Reva Singh, Kiran Dattani, Monica Lopez-Gonzalez, et al. 2025. Towards a multi-stakeholder process for developing responsible ai governance in consumer health. International Journal of… [find](https://scholar.google.com/scholar?q=Leon+Rozenblit%2C+Amy+Price%2C+Anthony+Solomonides%2C+Amanda+L+Joseph%2C+Gyana+Srivastava%2C+Steven+Labkoff%2C+Dave+Debronkart%2C+Reva+Singh%2C+Kiran+Dattani%2C+Monica+Lopez%2DGonzalez%2C+et+al%2E+2025%2E+Towards+a+multi%2Dstake)
75. Yijia Shao, Tianshi Li, Weiyan Shi, Yanchen Liu, and Diyi Yang. 2024. Privacylens: Evaluating privacy norm awareness of language models in action. In Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Ca… [find](https://scholar.google.com/scholar?q=Yijia+Shao%2C+Tianshi+Li%2C+Weiyan+Shi%2C+Yanchen+Liu%2C+and+Diyi+Yang%2E+2024%2E+Privacylens%3A+Evaluating+privacy+norm+awareness+of+language+models+in+action%2E+In+Advances+in+Neural+Information+Processing+Systems+)
76. Renee Shelby, Shalaleh Rismani, Kathryn Henne, Ajung Moon, Negar Rostamzadeh, Paul Nicholas, Jess Gallegos, Andrew Smart, and Gurleen Virk. 2022. Identifying sociotechnical harms of algorithmic systems: Scoping a taxonomy for harm reduction. ArXiv preprint, abs/2210.05791. — [arXiv:2210.05791](https://arxiv.org/abs/2210.05791) [find](https://scholar.google.com/scholar?q=Renee+Shelby%2C+Shalaleh+Rismani%2C+Kathryn+Henne%2C+Ajung+Moon%2C+Negar+Rostamzadeh%2C+Paul+Nicholas%2C+Jess+Gallegos%2C+Andrew+Smart%2C+and+Gurleen+Virk%2E+2022%2E+Identifying+sociotechnical+harms+of+algorithmic+system)
77. Renee Shelby, Shalaleh Rismani, Kathryn Henne, AJung Moon, Negar Rostamzadeh, Paul Nicholas, N’Mah Yilla-Akbari, Jess Gallegos, Andrew Smart, Emilio Garcia, et al. 2023. Sociotechnical harms of algorithmic systems: Scoping a taxonomy for harm reduction. In Proceedings of the 2023 AAAI/ACM Conference… [find](https://scholar.google.com/scholar?q=Renee+Shelby%2C+Shalaleh+Rismani%2C+Kathryn+Henne%2C+AJung+Moon%2C+Negar+Rostamzadeh%2C+Paul+Nicholas%2C+N%E2%80%99Mah+Yilla%2DAkbari%2C+Jess+Gallegos%2C+Andrew+Smart%2C+Emilio+Garcia%2C+et+al%2E+2023%2E+Sociotechnical+harms+of+algori)
78. Jiayue Melissa Shi, Dong Whi Yoo, Keran Wang, Violeta J Rodriguez, Ravi Karkar, and Koustuv Saha. 2025. Mapping caregiver needs to ai chatbot design: Strengths and gaps in mental health support for alzheimer’s and dementia caregivers. ArXiv preprint, abs/2506.15047. — [arXiv:2506.15047](https://arxiv.org/abs/2506.15047) [find](https://scholar.google.com/scholar?q=Jiayue+Melissa+Shi%2C+Dong+Whi+Yoo%2C+Keran+Wang%2C+Violeta+J+Rodriguez%2C+Ravi+Karkar%2C+and+Koustuv+Saha%2E+2025%2E+Mapping+caregiver+needs+to+ai+chatbot+design%3A+Strengths+and+gaps+in+mental+health+support+for+al)
79. Ben Shneiderman. 2020. Human-centered artificial intelligence: Reliable, safe & trustworthy. International Journal of Human–Computer Interaction, 36(6):495–504. [find](https://scholar.google.com/scholar?q=Ben+Shneiderman%2E+2020%2E+Human%2Dcentered+artificial+intelligence%3A+Reliable%2C+safe+%26+trustworthy%2E+International+Journal+of+Human%E2%80%93Computer+Interaction%2C+36%286%29%3A495%E2%80%93504%2E)
80. Gemma Team, Aishwarya Kamath, Johan Ferret, Shreya Pathak, Nino Vieillard, Ramona Merhej, Sarah Perrin, Tatiana Matejovicova, Alexandre Ramé, Morgane Rivière, Louis Rouillard, Thomas Mesnard, Geoffrey Cideron, Jean bastien Grill, Sabela Ramos, Edouard Yvinec, Michelle Casbon, Etienne Pot, Ivo Penche… [find](https://scholar.google.com/scholar?q=Gemma+Team%2C+Aishwarya+Kamath%2C+Johan+Ferret%2C+Shreya+Pathak%2C+Nino+Vieillard%2C+Ramona+Merhej%2C+Sarah+Perrin%2C+Tatiana+Matejovicova%2C+Alexandre+Ram%C3%A9%2C+Morgane+Rivi%C3%A8re%2C+Louis+Rouillard%2C+Thomas+Mesnard%2C+Geoffrey)
81. David R Thomas. 2006. A general inductive approach for analyzing qualitative evaluation data. American journal of evaluation, 27(2):237–246. [find](https://scholar.google.com/scholar?q=David+R+Thomas%2E+2006%2E+A+general+inductive+approach+for+analyzing+qualitative+evaluation+data%2E+American+journal+of+evaluation%2C+27%282%29%3A237%E2%80%93246%2E)
82. Andreas Triantafyllidis, Haridimos Kondylakis, Konstantinos Votis, Dimitrios Tzovaras, Nicos Maglaveras, and Kazem Rahimi. 2019. Features, outcomes, and challenges in mobile health interventions for patients living with chronic diseases: A review of systematic reviews. International journal of medic… [find](https://scholar.google.com/scholar?q=Andreas+Triantafyllidis%2C+Haridimos+Kondylakis%2C+Konstantinos+Votis%2C+Dimitrios+Tzovaras%2C+Nicos+Maglaveras%2C+and+Kazem+Rahimi%2E+2019%2E+Features%2C+outcomes%2C+and+challenges+in+mobile+health+interventions+for+p)
83. Sandra Wachter, Brent Mittelstadt, and Chris Russell. 2021. Why fairness cannot be automated: Bridging the gap between eu non-discrimination law and ai. Computer Law & Security Review, 41:105567. [find](https://scholar.google.com/scholar?q=Sandra+Wachter%2C+Brent+Mittelstadt%2C+and+Chris+Russell%2E+2021%2E+Why+fairness+cannot+be+automated%3A+Bridging+the+gap+between+eu+non%2Ddiscrimination+law+and+ai%2E+Computer+Law+%26+Security+Review%2C+41%3A105567%2E)
84. Ruoyao Wang, Graham Todd, Xingdi Yuan, Ziang Xiao, Marc-Alexandre Côté, and Peter Jansen. 2023. Bytesized32: A corpus and challenge task for generating task-specific world models expressed as text games. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages… [find](https://scholar.google.com/scholar?q=Ruoyao+Wang%2C+Graham+Todd%2C+Xingdi+Yuan%2C+Ziang+Xiao%2C+Marc%2DAlexandre+C%C3%B4t%C3%A9%2C+and+Peter+Jansen%2E+2023%2E+Bytesized32%3A+A+corpus+and+challenge+task+for+generating+task%2Dspecific+world+models+expressed+as+text+gam)
85. Zhenhailong Wang, Shaoguang Mao, Wenshan Wu, Tao Ge, Furu Wei, and Heng Ji. 2024a. [Unleashing the emergent cognitive synergy in large language models: A task-solving agent through multi-persona self-collaboration](https://md.research.elamur.ai/free/en/papers/wang-2023-unleashing-emergent-cognitive-synergy-large/). In Proceedings of the 2024 Conference of the North American Chapter of the Association…
86. Zijie J. Wang, Chinmay Kulkarni, Lauren Wilcox, Michael Terry, and Michael Madaio. 2024b. Farsight: Fostering responsible AI awareness during AI application prototyping. In Proceedings of the CHI Conference on Human Factors in Computing Systems, CHI 2024, Honolulu, HI, USA, May 11-16, 2024, pages 97… [find](https://scholar.google.com/scholar?q=Zijie+J%2E+Wang%2C+Chinmay+Kulkarni%2C+Lauren+Wilcox%2C+Michael+Terry%2C+and+Michael+Madaio%2E+2024b%2E+Farsight%3A+Fostering+responsible+AI+awareness+during+AI+application+prototyping%2E+In+Proceedings+of+the+CHI+Conf)
87. Laura Weidinger, Maribeth Rauh, Nahema Marchal, Arianna Manzini, Lisa Anne Hendricks, Juan Mateos-Garcia, Stevie Bergman, Jackie Kay, Conor Griffin, Ben Bariach, et al. 2023. Sociotechnical safety evaluation of generative ai systems. ArXiv preprint, abs/2310.11986. — [arXiv:2310.11986](https://arxiv.org/abs/2310.11986) [find](https://scholar.google.com/scholar?q=Laura+Weidinger%2C+Maribeth+Rauh%2C+Nahema+Marchal%2C+Arianna+Manzini%2C+Lisa+Anne+Hendricks%2C+Juan+Mateos%2DGarcia%2C+Stevie+Bergman%2C+Jackie+Kay%2C+Conor+Griffin%2C+Ben+Bariach%2C+et+al%2E+2023%2E+Sociotechnical+safety+eva)
88. Kaige Xie and Mark Riedl. 2024. Creating suspenseful stories: Iterative planning with large language models. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2391–2407, St. Julian’s, Malta. Association for C… [find](https://scholar.google.com/scholar?q=Kaige+Xie+and+Mark+Riedl%2E+2024%2E+Creating+suspenseful+stories%3A+Iterative+planning+with+large+language+models%2E+In+Proceedings+of+the+18th+Conference+of+the+European+Chapter+of+the+Association+for+Comput)
89. Kaige Xie, Ian Yang, John Gunerli, and Mark Riedl. 2025. Making large language models into world models with precondition and effect knowledge. In Proceedings of the 31st International Conference on Computational Linguistics, pages 7532–7545. [find](https://scholar.google.com/scholar?q=Kaige+Xie%2C+Ian+Yang%2C+John+Gunerli%2C+and+Mark+Riedl%2E+2025%2E+Making+large+language+models+into+world+models+with+precondition+and+effect+knowledge%2E+In+Proceedings+of+the+31st+International+Conference+on+C)
90. Lili Yao, Nanyun Peng, Ralph M. Weischedel, Kevin Knight, Dongyan Zhao, and Rui Yan. 2019. Plan-and-write: Towards better automatic storytelling. In The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, The Thirty-First Innovative Applications of Artificial Intelligence Conference,… [find](https://scholar.google.com/scholar?q=Lili+Yao%2C+Nanyun+Peng%2C+Ralph+M%2E+Weischedel%2C+Kevin+Knight%2C+Dongyan+Zhao%2C+and+Rui+Yan%2E+2019%2E+Plan%2Dand%2Dwrite%3A+Towards+better+automatic+storytelling%2E+In+The+Thirty%2DThird+AAAI+Conference+on+Artificial+Inte)
91. Tian Yu, Ken Shi, Zixin Zhao, and Gerald Penn. 2025. Multi-agent based character simulation for story writing. In Proceedings of the Fourth Workshop on Intelligent and Interactive Writing Assistants (In2Writing 2025), pages 87–108. [find](https://scholar.google.com/scholar?q=Tian+Yu%2C+Ken+Shi%2C+Zixin+Zhao%2C+and+Gerald+Penn%2E+2025%2E+Multi%2Dagent+based+character+simulation+for+story+writing%2E+In+Proceedings+of+the+Fourth+Workshop+on+Intelligent+and+Interactive+Writing+Assistants+%28)
92. Chunpeng Zhai, Santoso Wibowo, and Lily D Li. 2024. The effects of over-reliance on ai dialogue systems on students’ cognitive abilities: a systematic review. Smart Learning Environments, 11(1):28. [find](https://scholar.google.com/scholar?q=Chunpeng+Zhai%2C+Santoso+Wibowo%2C+and+Lily+D+Li%2E+2024%2E+The+effects+of+over%2Dreliance+on+ai+dialogue+systems+on+students%E2%80%99+cognitive+abilities%3A+a+systematic+review%2E+Smart+Learning+Environments%2C+11%281%29%3A28%2E)
93. Qizheng Zhang, Changran Hu, Shubhangi Upasani, Boyuan Ma, Fenglu Hong, Vamsidhar Kamanuru, Jay Rainton, Chen Wu, Mengmeng Ji, Hanchen Li, et al. 2025a. Agentic context engineering: Evolving contexts for self-improving language models. arXiv preprint arXiv:2510.04618. [find](https://scholar.google.com/scholar?q=Qizheng+Zhang%2C+Changran+Hu%2C+Shubhangi+Upasani%2C+Boyuan+Ma%2C+Fenglu+Hong%2C+Vamsidhar+Kamanuru%2C+Jay+Rainton%2C+Chen+Wu%2C+Mengmeng+Ji%2C+Hanchen+Li%2C+et+al%2E+2025a%2E+Agentic+context+engineering%3A+Evolving+contexts+f)
94. Runhua Zhang, Jiaqi Gan, Shangyuan Gao, Siyi Chen, Xinyu Wu, Dong Chen, Yulin Tian, Qi Wang, and Pengcheng An. 2025b. Walk in their shoes to navigate your own path: Learning about procrastination through a serious game. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems,… [find](https://scholar.google.com/scholar?q=Runhua+Zhang%2C+Jiaqi+Gan%2C+Shangyuan+Gao%2C+Siyi+Chen%2C+Xinyu+Wu%2C+Dong+Chen%2C+Yulin+Tian%2C+Qi+Wang%2C+and+Pengcheng+An%2E+2025b%2E+Walk+in+their+shoes+to+navigate+your+own+path%3A+Learning+about+procrastination+thro)

*Updated 2 November 2026*