Papers catalog¶
Regenerated from
papers/references.bib(the single source of truth for citations) plusdocs/papers/notes/*.md(curator analysis + status) byscripts/build_indexes.py. Do not edit by hand.
Each entry's citation data (title, authors, year, venue, DOI/arXiv) comes
from papers/references.bib;
themes and analysis come from per-paper structured notes in
docs/papers/notes/.
68 bibliographic entries; 63 have curator notes (47 fully read). Filter via the column headers or the search box.
| Year | Authors | Title | Venue | Link | Themes | Citekey | Note |
|---|---|---|---|---|---|---|---|
| 2012 | Aral et al. | Information, Technology, and Information Worker Productivity | Information Systems Research | doi | research-productivity is-methodology sociotechnical |
aral2012itproductivity |
read |
| 2019 | Sarker & others | The Sociotechnical Axis of Cohesion for the IS Discipline: Its Historical Legacy and Its Continued Relevance | MIS Quarterly | doi | sociotechnical is-methodology |
sarker2019sociotechnical |
read |
| 2020 | Maynez & others | On Faithfulness and Factuality in Abstractive Summarization | Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics | doi | hallucination reasoning-faithfulness evaluation-of-ai-research |
maynez2020faithfulness |
read |
| 2023 | Ji & others | Survey of Hallucination in Natural Language Generation | ACM Computing Surveys | doi | hallucination evaluation-of-ai-research |
ji2023hallucination |
read |
| 2023 | Mitchell & Krakauer | The Debate over Understanding in AI's Large Language Models | Proceedings of the National Academy of Sciences | doi | llm-cognition sociotechnical |
mitchell2023understanding |
read |
| 2023 | Noy & Zhang | Experimental Evidence on the Productivity Effects of Generative Artificial Intelligence | Science | doi | research-productivity human-ai-research-collaboration |
noy2023experimental |
read |
| 2023 | Park & others | Generative Agents: Interactive Simulacra of Human Behavior | Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology | doi | autonomous-research-agents sociotechnical llm-cognition |
park2023generative |
read |
| 2023 | Schick & others | Toolformer: Language Models Can Teach Themselves to Use Tools | Advances in Neural Information Processing Systems | doi (arXiv) | agentic-tool-use |
schick2023toolformer |
read |
| 2023 | Susarla et al. | The Janus Effect of Generative AI: Charting the Path for Responsible Conduct of Scholarly Activities in Information Systems | Information Systems Research | doi | is-methodology sociotechnical ai-publishing-ecosystems |
susarla2023janus |
read |
| 2024 | Agrawal et al. | AI in Science | National Bureau of Economic Research | link | research-productivity human-ai-research-collaboration llm-cognition sociotechnical |
agrawal2024aiscience |
read |
| 2024 | Alavi et al. | A Knowledge Management Perspective of Generative Artificial Intelligence | Journal of the Association for Information Systems | doi | sociotechnical is-methodology |
alavi2024kmperspective |
skimmed |
| 2024 | Avital | Digital Transformation of Academic Publishing: A Call for the Decentralization and Democratization of Academic Journals | Journal of the Association for Information Systems | doi | sociotechnical ai-publishing-ecosystems |
avital2024decentralization |
skimmed |
| 2024 | Benbya et al. | Navigating Generative Artificial Intelligence Promises and Perils for Knowledge and Creative Work | Journal of the Association for Information Systems | doi | sociotechnical research-productivity |
benbya2024navigating |
skimmed |
| 2024 | Drori & Te'eni | Human-in-the-Loop AI Reviewing: Feasibility, Opportunities, and Risks | Journal of the Association for Information Systems | doi | ai-peer-review human-ai-research-collaboration |
drori2024humanloop |
skimmed |
| 2024 | Goldberg et al. | Usefulness of LLMs as an Author Checklist Assistant for Scientific Papers: NeurIPS'24 Experiment | arXiv | doi (arXiv) | peer-review ai-publishing-ecosystems evaluation-rigor |
neurips2024checklist |
read |
| 2024 | Gregor | Responsible Artificial Intelligence and Journal Publishing | Journal of the Association for Information Systems | doi | ai-peer-review sociotechnical is-methodology |
gregor2024responsible |
skimmed |
| 2024 | Jarvenpaa & Klein | New Frontiers in Information Systems Theorizing: Human-gAI Collaboration | Journal of the Association for Information Systems | doi | is-methodology human-ai-research-collaboration |
jarvenpaa2024theorizing |
skimmed |
| 2024 | Kankanhalli | Peer Review in the Age of Generative AI | Journal of the Association for Information Systems | doi | ai-peer-review sociotechnical |
kankanhalli2024peerreview |
skimmed |
| 2024 | Latona et al. | The AI Review Lottery: Widespread AI-Assisted Peer Reviews Boost Paper Scores and Acceptance Rates | arXiv | doi (arXiv) | ai-peer-review evaluation-of-ai-research ai-publishing-ecosystems |
latona2024reviewlottery |
read |
| 2024 | Liang et al. | Mapping the Increasing Use of LLMs in Scientific Papers | arXiv | doi (arXiv) | research-productivity evaluation-of-ai-research |
liang2024mapping |
read |
| 2024 | Liang et al. | Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews | arXiv | doi (arXiv) | ai-peer-review evaluation-of-ai-research sociotechnical |
liang2024monitoring |
read |
| 2024 | Lund et al. | The Impact of AI on Academic Research and Publishing | arXiv | doi (arXiv) | ai-publishing-ecosystems research-ethics peer-review |
lund2024aiacademic |
read |
| 2024 | Ngwenyama & Rowe | Should We Collaborate with AI to Conduct Literature Reviews? Changing Epistemic Values in a Flattening World | Journal of the Association for Information Systems | doi | is-methodology human-ai-research-collaboration evaluation-of-ai-research |
ngwenyama2024literature |
skimmed |
| 2024 | Riemer & Peter | Conceptualizing Generative AI as Style Engines: Application Archetypes and Implications | International Journal of Information Management | doi | style-engines is-methodology sociotechnical |
riemer2024styleengines |
read |
| 2024 | Sabherwal & Grover | The Societal Impacts of Generative Artificial Intelligence: A Balanced Perspective | Journal of the Association for Information Systems | doi | sociotechnical |
sabherwal2024societal |
skimmed |
| 2024 | Sarker et al. | Democratizing Knowledge Creation Through Human-AI Collaboration in Academic Peer Review | Journal of the Association for Information Systems | doi | ai-peer-review is-methodology human-ai-research-collaboration |
sarker2024democratizing |
skimmed |
| 2024 | Schwartz & Te'eni | AI for Knowledge Creation, Curation, and Consumption in Context | Journal of the Association for Information Systems | doi | is-methodology human-ai-research-collaboration ai-publishing-ecosystems |
schwartz2024kcc |
read |
| 2024 | Shmueli & Ray | Reimagining the Journal Editorial Process: An AI-Augmented Versus an AI-Driven Future | Journal of the Association for Information Systems | doi | ai-peer-review is-methodology |
shmueli2024editorial |
skimmed |
| 2024 | Watson et al. | Extending the Foresight of Phillip Ein-Dor: Causal Knowledge Analytics | Journal of the Association for Information Systems | doi | is-methodology evaluation-of-ai-research |
watson2024causal |
skimmed |
| 2024 | Weber | The Other Reviewer: RoboReviewer | Journal of the Association for Information Systems | doi | ai-peer-review sociotechnical |
weber2024roboreviewer |
skimmed |
| 2024 | Yoo | Evolving Epistemic Infrastructure: The Role of Scientific Journals in the Age of Generative AI | Journal of the Association for Information Systems | doi | is-methodology sociotechnical evaluation-of-ai-research |
yoo2024epistemic |
skimmed |
| 2025 | Bapna et al. | Agentic AI and Managers' Analytics Capabilities: An Exploration | SSRN Working Paper | link | research-productivity human-ai-research-collaboration agentic-tool-use |
bapna2025analytics |
read |
| 2025 | Brodeur et al. | Assessing Reproducibility in Economics Using Standardized Crowd-Sourced Analysis | National Bureau of Economic Research | link | replication-infrastructure evaluation-of-ai-research |
brodeur2025reproducibility |
read |
| 2025 | Brynjolfsson et al. | Generative AI at Work | Quarterly Journal of Economics | doi | research-productivity human-ai-research-collaboration sociotechnical |
brynjolfsson2025genaiwork |
read |
| 2025 | Chen & others | Reasoning Models Don't Always Say What They Think | arXiv | doi (arXiv) | reasoning-faithfulness agentic-reasoning hallucination evaluation-of-ai-research |
chen2025reasoning |
read |
| 2025 | Collu et al. | Misleading Large Language Models Used (or Misused) in Scientific Peer-Reviewing via Hidden Prompt-Injection Attacks | arXiv | doi (arXiv) | ai-peer-review hallucination sociotechnical |
collu2025misleading |
read |
| 2025 | Cunningham | Claude Code for Causal Inference | Causal Inference Substack | link | cunningham2025claudecode |
— | |
| 2025 | Eberhardt | Claude Code for Applied Economists | Markus Academy Substack | link | eberhardt2025claudecode |
— | |
| 2025 | Editorial | Transparent Peer Review to Be Extended to All Research Papers | Nature Editorial, d41586-025-01880-9 | link | ai-peer-review ai-publishing-ecosystems sociotechnical |
naturePeerReview2025editorial |
read |
| 2025 | Filimonovic et al. | Can GenAI Improve Academic Performance? Evidence from the Social and Behavioral Sciences | arXiv | doi (arXiv) | research-productivity human-ai-research-collaboration evaluation-of-ai-research |
filimonovic2025genai |
read |
| 2025 | Georgiev et al. | Mathematical Exploration and Discovery at Scale | arXiv | doi (arXiv) | georgiev2025alphaevolvemath |
— | |
| 2025 | Gopal & others | Inventing with Machines: Generative AI and the Evolving Landscape of IS Research | Information Systems Research | doi | is-methodology human-ai-research-collaboration autonomous-research-agents sociotechnical |
gopal2025inventing |
read |
| 2025 | Gridach et al. | Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future Directions | arXiv | doi (arXiv) | autonomous-research-agents evaluation-of-ai-research |
gridach2025agenticsurvey |
skimmed |
| 2025 | Ifargan et al. | Autonomous LLM-Driven Research — from Data to Human-Verifiable Research Papers | NEJM AI | doi | agentic-pipelines traceability-verifiability end-to-end-research |
ifargan2024datatopaper |
read |
| 2025 | Keuper | Prompt Injection Attacks on LLM Generated Reviews of Scientific Publications | arXiv | doi (arXiv) | ai-peer-review hallucination |
keuper2025promptinjection |
read |
| 2025 | Kwon & Yang | Large Language Models in Academia: Boosting Productivity but Reinforcing Inequality | Proceedings of the International Conference on Information Systems (ICIS) | link | research-productivity sociotechnical |
kwon2025inequality |
skimmed |
| 2025 | Matton & others | Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations | International Conference on Learning Representations (ICLR) | doi (arXiv) | reasoning-faithfulness hallucination evaluation-of-ai-research |
matton2025walkthetalk |
read |
| 2025 | Mikalef et al. | Responsible AI Starts with the Artifact: Challenging the Concept of Responsible AI in IS Research | European Journal of Information Systems | doi | sociotechnical is-methodology evaluation-of-ai-research |
mikalef2025responsible |
read |
| 2025 | Naddaf | AI Is Transforming Peer Review — and Many Scientists Are Worried | Nature | doi | ai-peer-review ai-publishing-ecosystems sociotechnical |
naddaf2025aipeer |
read |
| 2025 | Novikov et al. | AlphaEvolve: A Coding Agent for Scientific and Algorithmic Discovery | arXiv | doi (arXiv) | novikov2025alphaevolve |
— | |
| 2025 | Peter et al. | The Benefits and Dangers of Anthropomorphic Conversational Agents | Proceedings of the National Academy of Sciences | doi | sociotechnical llm-cognition |
peter2025anthropomorphic |
read |
| 2025 | Tie et al. | A Survey of AI Scientists | arXiv | doi (arXiv) | autonomous-research-agents evaluation-of-ai-research |
tie2025aiscientistsurvey |
read |
| 2025 | Wu & others | Agentic Reasoning: A Streamlined Framework for Enhancing LLM Reasoning with Agentic Tools | Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) | doi | agentic-reasoning agentic-tool-use |
wu2025agenticreasoning |
read |
| 2025 | Zhang & others | aiXiv: A Next-Generation Open Access Ecosystem for Scientific Discovery Generated by AI Scientists | arXiv | doi (arXiv) | ai-publishing-ecosystems autonomous-research-agents ai-peer-review sociotechnical |
zhang2025aixiv |
read |
| 2026 | Abbasi & others | ISR Special Issue: Generative AI and New Methods of Inquiry in Information Systems Research | INFORMS Information Systems Research, Call for Papers | link | abbasi2026isr |
— | |
| 2026 | Acemoglu et al. | AI, Human Cognition and Knowledge Collapse | SSRN Working Paper | link | sociotechnical evaluation-of-ai-research llm-cognition |
acemoglu2026collapse |
read |
| 2026 | Bick et al. | The Rapid Adoption of Generative AI | Management Science | doi | research-productivity sociotechnical ai-publishing-ecosystems |
bick2026rapidadoption |
read |
| 2026 | Dell'Acqua et al. | Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of Artificial Intelligence on Knowledge Worker Productivity and Quality | Organization Science | doi | research-productivity human-ai-research-collaboration evaluation-of-ai-research |
dellacqua2026jagged |
read |
| 2026 | Gartenberg et al. | More Versus Better: Artificial Intelligence, Incentives, and the Emerging Crisis in Peer Review | Organization Science | doi | ai-peer-review ai-publishing-ecosystems research-productivity |
gartenberg2026morebetter |
read |
| 2026 | Ghareeb et al. | A Multi-Agent System for Automating Scientific Discovery | Nature | doi · arXiv | agentic-pipelines multi-agent-systems autonomous-research-agents end-to-end-research |
ghareeb2026robin |
read |
| 2026 | Jarzębowicz et al. | The Landscape of Generative AI in Information Systems: A Synthesis of Secondary Reviews and Research Agendas | arXiv | doi (arXiv) | is-methodology sociotechnical ai-publishing-ecosystems |
jarzebowicz2026landscape |
read |
| 2026 | Kumar et al. | Agentic Artificial Intelligence as a New Frontier in Information Systems: Promise, Peril, and Research Opportunities | Information \& Management | doi | autonomous-research-agents is-methodology sociotechnical |
kumar2025agenticadoption |
read |
| 2026 | Laban et al. | LLMs Corrupt Your Documents When You Delegate | arXiv | doi (arXiv) | agentic-tool-use hallucination evaluation-of-ai-research reasoning-faithfulness |
laban2026llmscorrupt |
read |
| 2026 | Li et al. | Agentic AI and the Rise of in silico Team Science in Biomedical Research | Nature Biotechnology | doi | agentic-pipelines multi-agent-systems autonomous-research-agents sociotechnical |
li2026agenticbiomedical |
read |
| 2026 | Lyu et al. | EvoScientist: Towards Multi-Agent Evolving AI Scientists for End-to-End Scientific Discovery | arXiv | doi (arXiv) | agentic-pipelines multi-agent-systems self-improvement memory-systems |
evoscientist2026techreport |
read |
| 2026 | Ngwenyama et al. | Platform Capture of Scientific Knowledge Production: Publishers' Dominance, Generative AI and Subsumption of Academic Labor | European Journal of Information Systems | doi | sociotechnical ai-publishing-ecosystems |
ngwenyama2026platform |
read |
| 2026 | Novy-Marx & Velikov | Artificial Intelligence–Powered (Finance) Scholarship | Journal of Economic Literature | doi · NBER | autonomous-research-agents research-productivity evaluation-of-ai-research hallucination |
novymarx2026aifinance |
read |
| 2026 | Yang et al. | ARIS: Autonomous Research via Adversarial Multi-Agent Collaboration | arXiv | doi (arXiv) | agentic-pipelines multi-agent-systems evaluation-rigor harness-engineering |
yang2026aris |
read |
Browse by theme
agentic-pipelines¶
- 2025 — Ifargan et al.. Autonomous LLM-Driven Research --- from Data to Human-Verifiable Research Papers
ifargan2024datatopaper - 2026 — Lyu et al.. EvoScientist: Towards Multi-Agent Evolving AI Scientists for End-to-End Scientific Discovery
evoscientist2026techreport - 2026 — Ghareeb et al.. A Multi-Agent System for Automating Scientific Discovery
ghareeb2026robin - 2026 — Li et al.. Agentic AI and the Rise of in silico Team Science in Biomedical Research
li2026agenticbiomedical - 2026 — Yang et al.. ARIS: Autonomous Research via Adversarial Multi-Agent Collaboration
yang2026aris
agentic-reasoning¶
- 2025 — Chen & others. Reasoning Models Don't Always Say What They Think
chen2025reasoning - 2025 — Wu & others. Agentic Reasoning: A Streamlined Framework for Enhancing LLM Reasoning with Agentic Tools
wu2025agenticreasoning
agentic-tool-use¶
- 2023 — Schick & others. Toolformer: Language Models Can Teach Themselves to Use Tools
schick2023toolformer - 2025 — Bapna et al.. Agentic AI and Managers' Analytics Capabilities: An Exploration
bapna2025analytics - 2025 — Wu & others. Agentic Reasoning: A Streamlined Framework for Enhancing LLM Reasoning with Agentic Tools
wu2025agenticreasoning - 2026 — Laban et al.. LLMs Corrupt Your Documents When You Delegate
laban2026llmscorrupt
ai-peer-review¶
- 2024 — Drori & Te'eni. Human-in-the-Loop AI Reviewing: Feasibility, Opportunities, and Risks
drori2024humanloop· skimmed - 2024 — Gregor. Responsible Artificial Intelligence and Journal Publishing
gregor2024responsible· skimmed - 2024 — Kankanhalli. Peer Review in the Age of Generative AI
kankanhalli2024peerreview· skimmed - 2024 — Latona et al.. The AI Review Lottery: Widespread AI-Assisted Peer Reviews Boost Paper Scores and Acceptance Rates
latona2024reviewlottery - 2024 — Liang et al.. Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews
liang2024monitoring - 2024 — Sarker et al.. Democratizing Knowledge Creation Through Human-AI Collaboration in Academic Peer Review
sarker2024democratizing· skimmed - 2024 — Shmueli & Ray. Reimagining the Journal Editorial Process: An AI-Augmented Versus an AI-Driven Future
shmueli2024editorial· skimmed - 2024 — Weber. The Other Reviewer: RoboReviewer
weber2024roboreviewer· skimmed - 2025 — Keuper. Prompt Injection Attacks on LLM Generated Reviews of Scientific Publications
keuper2025promptinjection - 2025 — Naddaf. AI Is Transforming Peer Review --- and Many Scientists Are Worried
naddaf2025aipeer - 2025 — Nature Editorial. Transparent Peer Review to Be Extended to All Research Papers
naturePeerReview2025editorial - 2025 — Zhang & others. aiXiv: A Next-Generation Open Access Ecosystem for Scientific Discovery Generated by AI Scientists
zhang2025aixiv - 2025 — Collu et al.. Misleading Large Language Models Used (or Misused) in Scientific Peer-Reviewing via Hidden Prompt-Injection Attacks
collu2025misleading - 2026 — Gartenberg et al.. More Versus Better: Artificial Intelligence, Incentives, and the Emerging Crisis in Peer Review
gartenberg2026morebetter
ai-publishing-ecosystems¶
- 2023 — Susarla et al.. The Janus Effect of Generative AI: Charting the Path for Responsible Conduct of Scholarly Activities in Information Systems
susarla2023janus - 2024 — Avital. Digital Transformation of Academic Publishing: A Call for the Decentralization and Democratization of Academic Journals
avital2024decentralization· skimmed - 2024 — Latona et al.. The AI Review Lottery: Widespread AI-Assisted Peer Reviews Boost Paper Scores and Acceptance Rates
latona2024reviewlottery - 2024 — Lund et al.. The Impact of AI on Academic Research and Publishing
lund2024aiacademic - 2024 — Goldberg et al.. Usefulness of LLMs as an Author Checklist Assistant for Scientific Papers: NeurIPS'24 Experiment
neurips2024checklist - 2024 — Schwartz & Te'eni. AI for Knowledge Creation, Curation, and Consumption in Context
schwartz2024kcc - 2026 — Bick et al.. The Rapid Adoption of Generative AI
bick2026rapidadoption - 2025 — Naddaf. AI Is Transforming Peer Review --- and Many Scientists Are Worried
naddaf2025aipeer - 2025 — Nature Editorial. Transparent Peer Review to Be Extended to All Research Papers
naturePeerReview2025editorial - 2025 — Zhang & others. aiXiv: A Next-Generation Open Access Ecosystem for Scientific Discovery Generated by AI Scientists
zhang2025aixiv - 2026 — Gartenberg et al.. More Versus Better: Artificial Intelligence, Incentives, and the Emerging Crisis in Peer Review
gartenberg2026morebetter - 2026 — Jarzębowicz et al.. The Landscape of Generative AI in Information Systems: A Synthesis of Secondary Reviews and Research Agendas
jarzebowicz2026landscape - 2026 — Ngwenyama et al.. Platform Capture of Scientific Knowledge Production: Publishers' Dominance, Generative AI and Subsumption of Academic Labor
ngwenyama2026platform
autonomous-research-agents¶
- 2023 — Park & others. Generative Agents: Interactive Simulacra of Human Behavior
park2023generative - 2026 — Novy-Marx & Velikov. Artificial Intelligence--Powered (Finance) Scholarship
novymarx2026aifinance - 2025 — Gopal & others. Inventing with Machines: Generative AI and the Evolving Landscape of IS Research
gopal2025inventing - 2025 — Gridach et al.. Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future Directions
gridach2025agenticsurvey· skimmed - 2025 — Tie et al.. A Survey of AI Scientists
tie2025aiscientistsurvey - 2025 — Zhang & others. aiXiv: A Next-Generation Open Access Ecosystem for Scientific Discovery Generated by AI Scientists
zhang2025aixiv - 2026 — Ghareeb et al.. A Multi-Agent System for Automating Scientific Discovery
ghareeb2026robin - 2026 — Kumar et al.. Agentic Artificial Intelligence as a New Frontier in Information Systems: Promise, Peril, and Research Opportunities
kumar2025agenticadoption - 2026 — Li et al.. Agentic AI and the Rise of in silico Team Science in Biomedical Research
li2026agenticbiomedical
end-to-end-research¶
- 2025 — Ifargan et al.. Autonomous LLM-Driven Research --- from Data to Human-Verifiable Research Papers
ifargan2024datatopaper - 2026 — Ghareeb et al.. A Multi-Agent System for Automating Scientific Discovery
ghareeb2026robin
evaluation-of-ai-research¶
- 2020 — Maynez & others. On Faithfulness and Factuality in Abstractive Summarization
maynez2020faithfulness - 2023 — Ji & others. Survey of Hallucination in Natural Language Generation
ji2023hallucination - 2024 — Latona et al.. The AI Review Lottery: Widespread AI-Assisted Peer Reviews Boost Paper Scores and Acceptance Rates
latona2024reviewlottery - 2024 — Liang et al.. Mapping the Increasing Use of LLMs in Scientific Papers
liang2024mapping - 2024 — Liang et al.. Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews
liang2024monitoring - 2024 — Ngwenyama & Rowe. Should We Collaborate with AI to Conduct Literature Reviews? Changing Epistemic Values in a Flattening World
ngwenyama2024literature· skimmed - 2026 — Novy-Marx & Velikov. Artificial Intelligence--Powered (Finance) Scholarship
novymarx2026aifinance - 2024 — Watson et al.. Extending the Foresight of Phillip Ein-Dor: Causal Knowledge Analytics
watson2024causal· skimmed - 2024 — Yoo. Evolving Epistemic Infrastructure: The Role of Scientific Journals in the Age of Generative AI
yoo2024epistemic· skimmed - 2025 — Brodeur et al.. Assessing Reproducibility in Economics Using Standardized Crowd-Sourced Analysis
brodeur2025reproducibility - 2025 — Chen & others. Reasoning Models Don't Always Say What They Think
chen2025reasoning - 2025 — Filimonovic et al.. Can GenAI Improve Academic Performance? Evidence from the Social and Behavioral Sciences
filimonovic2025genai - 2025 — Gridach et al.. Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future Directions
gridach2025agenticsurvey· skimmed - 2025 — Matton & others. Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations
matton2025walkthetalk - 2025 — Mikalef et al.. Responsible AI Starts with the Artifact: Challenging the Concept of Responsible AI in IS Research
mikalef2025responsible - 2025 — Tie et al.. A Survey of AI Scientists
tie2025aiscientistsurvey - 2026 — Acemoglu et al.. AI, Human Cognition and Knowledge Collapse
acemoglu2026collapse - 2026 — Dell'Acqua et al.. Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of Artificial Intelligence on Knowledge Worker Productivity and Quality
dellacqua2026jagged - 2026 — Laban et al.. LLMs Corrupt Your Documents When You Delegate
laban2026llmscorrupt
evaluation-rigor¶
- 2024 — Goldberg et al.. Usefulness of LLMs as an Author Checklist Assistant for Scientific Papers: NeurIPS'24 Experiment
neurips2024checklist - 2026 — Yang et al.. ARIS: Autonomous Research via Adversarial Multi-Agent Collaboration
yang2026aris
hallucination¶
- 2020 — Maynez & others. On Faithfulness and Factuality in Abstractive Summarization
maynez2020faithfulness - 2023 — Ji & others. Survey of Hallucination in Natural Language Generation
ji2023hallucination - 2026 — Novy-Marx & Velikov. Artificial Intelligence--Powered (Finance) Scholarship
novymarx2026aifinance - 2025 — Chen & others. Reasoning Models Don't Always Say What They Think
chen2025reasoning - 2025 — Keuper. Prompt Injection Attacks on LLM Generated Reviews of Scientific Publications
keuper2025promptinjection - 2025 — Matton & others. Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations
matton2025walkthetalk - 2025 — Collu et al.. Misleading Large Language Models Used (or Misused) in Scientific Peer-Reviewing via Hidden Prompt-Injection Attacks
collu2025misleading - 2026 — Laban et al.. LLMs Corrupt Your Documents When You Delegate
laban2026llmscorrupt
harness-engineering¶
- 2026 — Yang et al.. ARIS: Autonomous Research via Adversarial Multi-Agent Collaboration
yang2026aris
human-ai-research-collaboration¶
- 2023 — Noy & Zhang. Experimental Evidence on the Productivity Effects of Generative Artificial Intelligence
noy2023experimental - 2024 — Agrawal et al.. AI in Science
agrawal2024aiscience - 2024 — Drori & Te'eni. Human-in-the-Loop AI Reviewing: Feasibility, Opportunities, and Risks
drori2024humanloop· skimmed - 2024 — Jarvenpaa & Klein. New Frontiers in Information Systems Theorizing: Human-gAI Collaboration
jarvenpaa2024theorizing· skimmed - 2024 — Ngwenyama & Rowe. Should We Collaborate with AI to Conduct Literature Reviews? Changing Epistemic Values in a Flattening World
ngwenyama2024literature· skimmed - 2024 — Sarker et al.. Democratizing Knowledge Creation Through Human-AI Collaboration in Academic Peer Review
sarker2024democratizing· skimmed - 2024 — Schwartz & Te'eni. AI for Knowledge Creation, Curation, and Consumption in Context
schwartz2024kcc - 2025 — Bapna et al.. Agentic AI and Managers' Analytics Capabilities: An Exploration
bapna2025analytics - 2025 — Brynjolfsson et al.. Generative AI at Work
brynjolfsson2025genaiwork - 2025 — Filimonovic et al.. Can GenAI Improve Academic Performance? Evidence from the Social and Behavioral Sciences
filimonovic2025genai - 2025 — Gopal & others. Inventing with Machines: Generative AI and the Evolving Landscape of IS Research
gopal2025inventing - 2026 — Dell'Acqua et al.. Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of Artificial Intelligence on Knowledge Worker Productivity and Quality
dellacqua2026jagged
is-methodology¶
- 2012 — Aral et al.. Information, Technology, and Information Worker Productivity
aral2012itproductivity - 2019 — Sarker & others. The Sociotechnical Axis of Cohesion for the IS Discipline: Its Historical Legacy and Its Continued Relevance
sarker2019sociotechnical - 2023 — Susarla et al.. The Janus Effect of Generative AI: Charting the Path for Responsible Conduct of Scholarly Activities in Information Systems
susarla2023janus - 2024 — Alavi et al.. A Knowledge Management Perspective of Generative Artificial Intelligence
alavi2024kmperspective· skimmed - 2024 — Gregor. Responsible Artificial Intelligence and Journal Publishing
gregor2024responsible· skimmed - 2024 — Jarvenpaa & Klein. New Frontiers in Information Systems Theorizing: Human-gAI Collaboration
jarvenpaa2024theorizing· skimmed - 2024 — Ngwenyama & Rowe. Should We Collaborate with AI to Conduct Literature Reviews? Changing Epistemic Values in a Flattening World
ngwenyama2024literature· skimmed - 2024 — Riemer & Peter. Conceptualizing Generative AI as Style Engines: Application Archetypes and Implications
riemer2024styleengines - 2024 — Sarker et al.. Democratizing Knowledge Creation Through Human-AI Collaboration in Academic Peer Review
sarker2024democratizing· skimmed - 2024 — Schwartz & Te'eni. AI for Knowledge Creation, Curation, and Consumption in Context
schwartz2024kcc - 2024 — Shmueli & Ray. Reimagining the Journal Editorial Process: An AI-Augmented Versus an AI-Driven Future
shmueli2024editorial· skimmed - 2024 — Watson et al.. Extending the Foresight of Phillip Ein-Dor: Causal Knowledge Analytics
watson2024causal· skimmed - 2024 — Yoo. Evolving Epistemic Infrastructure: The Role of Scientific Journals in the Age of Generative AI
yoo2024epistemic· skimmed - 2025 — Gopal & others. Inventing with Machines: Generative AI and the Evolving Landscape of IS Research
gopal2025inventing - 2025 — Mikalef et al.. Responsible AI Starts with the Artifact: Challenging the Concept of Responsible AI in IS Research
mikalef2025responsible - 2026 — Jarzębowicz et al.. The Landscape of Generative AI in Information Systems: A Synthesis of Secondary Reviews and Research Agendas
jarzebowicz2026landscape - 2026 — Kumar et al.. Agentic Artificial Intelligence as a New Frontier in Information Systems: Promise, Peril, and Research Opportunities
kumar2025agenticadoption
llm-cognition¶
- 2023 — Mitchell & Krakauer. The Debate over Understanding in AI's Large Language Models
mitchell2023understanding - 2023 — Park & others. Generative Agents: Interactive Simulacra of Human Behavior
park2023generative - 2024 — Agrawal et al.. AI in Science
agrawal2024aiscience - 2025 — Peter et al.. The Benefits and Dangers of Anthropomorphic Conversational Agents
peter2025anthropomorphic - 2026 — Acemoglu et al.. AI, Human Cognition and Knowledge Collapse
acemoglu2026collapse
memory-systems¶
- 2026 — Lyu et al.. EvoScientist: Towards Multi-Agent Evolving AI Scientists for End-to-End Scientific Discovery
evoscientist2026techreport
multi-agent-systems¶
- 2026 — Lyu et al.. EvoScientist: Towards Multi-Agent Evolving AI Scientists for End-to-End Scientific Discovery
evoscientist2026techreport - 2026 — Ghareeb et al.. A Multi-Agent System for Automating Scientific Discovery
ghareeb2026robin - 2026 — Li et al.. Agentic AI and the Rise of in silico Team Science in Biomedical Research
li2026agenticbiomedical - 2026 — Yang et al.. ARIS: Autonomous Research via Adversarial Multi-Agent Collaboration
yang2026aris
peer-review¶
- 2024 — Lund et al.. The Impact of AI on Academic Research and Publishing
lund2024aiacademic - 2024 — Goldberg et al.. Usefulness of LLMs as an Author Checklist Assistant for Scientific Papers: NeurIPS'24 Experiment
neurips2024checklist
reasoning-faithfulness¶
- 2020 — Maynez & others. On Faithfulness and Factuality in Abstractive Summarization
maynez2020faithfulness - 2025 — Chen & others. Reasoning Models Don't Always Say What They Think
chen2025reasoning - 2025 — Matton & others. Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations
matton2025walkthetalk - 2026 — Laban et al.. LLMs Corrupt Your Documents When You Delegate
laban2026llmscorrupt
replication-infrastructure¶
- 2025 — Brodeur et al.. Assessing Reproducibility in Economics Using Standardized Crowd-Sourced Analysis
brodeur2025reproducibility
research-ethics¶
- 2024 — Lund et al.. The Impact of AI on Academic Research and Publishing
lund2024aiacademic
research-productivity¶
- 2012 — Aral et al.. Information, Technology, and Information Worker Productivity
aral2012itproductivity - 2023 — Noy & Zhang. Experimental Evidence on the Productivity Effects of Generative Artificial Intelligence
noy2023experimental - 2024 — Agrawal et al.. AI in Science
agrawal2024aiscience - 2024 — Benbya et al.. Navigating Generative Artificial Intelligence Promises and Perils for Knowledge and Creative Work
benbya2024navigating· skimmed - 2024 — Liang et al.. Mapping the Increasing Use of LLMs in Scientific Papers
liang2024mapping - 2026 — Novy-Marx & Velikov. Artificial Intelligence--Powered (Finance) Scholarship
novymarx2026aifinance - 2025 — Bapna et al.. Agentic AI and Managers' Analytics Capabilities: An Exploration
bapna2025analytics - 2026 — Bick et al.. The Rapid Adoption of Generative AI
bick2026rapidadoption - 2025 — Brynjolfsson et al.. Generative AI at Work
brynjolfsson2025genaiwork - 2025 — Filimonovic et al.. Can GenAI Improve Academic Performance? Evidence from the Social and Behavioral Sciences
filimonovic2025genai - 2025 — Kwon & Yang. Large Language Models in Academia: Boosting Productivity but Reinforcing Inequality
kwon2025inequality· skimmed - 2026 — Dell'Acqua et al.. Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of Artificial Intelligence on Knowledge Worker Productivity and Quality
dellacqua2026jagged - 2026 — Gartenberg et al.. More Versus Better: Artificial Intelligence, Incentives, and the Emerging Crisis in Peer Review
gartenberg2026morebetter
self-improvement¶
- 2026 — Lyu et al.. EvoScientist: Towards Multi-Agent Evolving AI Scientists for End-to-End Scientific Discovery
evoscientist2026techreport
sociotechnical¶
- 2012 — Aral et al.. Information, Technology, and Information Worker Productivity
aral2012itproductivity - 2019 — Sarker & others. The Sociotechnical Axis of Cohesion for the IS Discipline: Its Historical Legacy and Its Continued Relevance
sarker2019sociotechnical - 2023 — Mitchell & Krakauer. The Debate over Understanding in AI's Large Language Models
mitchell2023understanding - 2023 — Park & others. Generative Agents: Interactive Simulacra of Human Behavior
park2023generative - 2023 — Susarla et al.. The Janus Effect of Generative AI: Charting the Path for Responsible Conduct of Scholarly Activities in Information Systems
susarla2023janus - 2024 — Agrawal et al.. AI in Science
agrawal2024aiscience - 2024 — Alavi et al.. A Knowledge Management Perspective of Generative Artificial Intelligence
alavi2024kmperspective· skimmed - 2024 — Avital. Digital Transformation of Academic Publishing: A Call for the Decentralization and Democratization of Academic Journals
avital2024decentralization· skimmed - 2024 — Benbya et al.. Navigating Generative Artificial Intelligence Promises and Perils for Knowledge and Creative Work
benbya2024navigating· skimmed - 2024 — Gregor. Responsible Artificial Intelligence and Journal Publishing
gregor2024responsible· skimmed - 2024 — Kankanhalli. Peer Review in the Age of Generative AI
kankanhalli2024peerreview· skimmed - 2024 — Liang et al.. Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews
liang2024monitoring - 2024 — Riemer & Peter. Conceptualizing Generative AI as Style Engines: Application Archetypes and Implications
riemer2024styleengines - 2024 — Sabherwal & Grover. The Societal Impacts of Generative Artificial Intelligence: A Balanced Perspective
sabherwal2024societal· skimmed - 2024 — Weber. The Other Reviewer: RoboReviewer
weber2024roboreviewer· skimmed - 2024 — Yoo. Evolving Epistemic Infrastructure: The Role of Scientific Journals in the Age of Generative AI
yoo2024epistemic· skimmed - 2026 — Bick et al.. The Rapid Adoption of Generative AI
bick2026rapidadoption - 2025 — Brynjolfsson et al.. Generative AI at Work
brynjolfsson2025genaiwork - 2025 — Gopal & others. Inventing with Machines: Generative AI and the Evolving Landscape of IS Research
gopal2025inventing - 2025 — Kwon & Yang. Large Language Models in Academia: Boosting Productivity but Reinforcing Inequality
kwon2025inequality· skimmed - 2025 — Mikalef et al.. Responsible AI Starts with the Artifact: Challenging the Concept of Responsible AI in IS Research
mikalef2025responsible - 2025 — Naddaf. AI Is Transforming Peer Review --- and Many Scientists Are Worried
naddaf2025aipeer - 2025 — Nature Editorial. Transparent Peer Review to Be Extended to All Research Papers
naturePeerReview2025editorial - 2025 — Peter et al.. The Benefits and Dangers of Anthropomorphic Conversational Agents
peter2025anthropomorphic - 2025 — Zhang & others. aiXiv: A Next-Generation Open Access Ecosystem for Scientific Discovery Generated by AI Scientists
zhang2025aixiv - 2026 — Acemoglu et al.. AI, Human Cognition and Knowledge Collapse
acemoglu2026collapse - 2025 — Collu et al.. Misleading Large Language Models Used (or Misused) in Scientific Peer-Reviewing via Hidden Prompt-Injection Attacks
collu2025misleading - 2026 — Jarzębowicz et al.. The Landscape of Generative AI in Information Systems: A Synthesis of Secondary Reviews and Research Agendas
jarzebowicz2026landscape - 2026 — Kumar et al.. Agentic Artificial Intelligence as a New Frontier in Information Systems: Promise, Peril, and Research Opportunities
kumar2025agenticadoption - 2026 — Li et al.. Agentic AI and the Rise of in silico Team Science in Biomedical Research
li2026agenticbiomedical - 2026 — Ngwenyama et al.. Platform Capture of Scientific Knowledge Production: Publishers' Dominance, Generative AI and Subsumption of Academic Labor
ngwenyama2026platform
style-engines¶
- 2024 — Riemer & Peter. Conceptualizing Generative AI as Style Engines: Application Archetypes and Implications
riemer2024styleengines
traceability-verifiability¶
- 2025 — Ifargan et al.. Autonomous LLM-Driven Research --- from Data to Human-Verifiable Research Papers
ifargan2024datatopaper
Browse by year
63/63 notes have been filled with abstract-grounded summaries; 0 remain as stubs marked ⚠️ (front-matter verified, but Summary / Contribution / Method / Critique not yet written).
2026¶
- Acemoglu et al.. AI, Human Cognition and Knowledge Collapse
acemoglu2026collapse - Bick et al.. The Rapid Adoption of Generative AI
bick2026rapidadoption - Dell'Acqua et al.. Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of Artificial Intelligence on Knowledge Worker Productivity and Quality
dellacqua2026jagged - Lyu et al.. EvoScientist: Towards Multi-Agent Evolving AI Scientists for End-to-End Scientific Discovery
evoscientist2026techreport - Gartenberg et al.. More Versus Better: Artificial Intelligence, Incentives, and the Emerging Crisis in Peer Review
gartenberg2026morebetter - Ghareeb et al.. A Multi-Agent System for Automating Scientific Discovery
ghareeb2026robin - Jarzębowicz et al.. The Landscape of Generative AI in Information Systems: A Synthesis of Secondary Reviews and Research Agendas
jarzebowicz2026landscape - Kumar et al.. Agentic Artificial Intelligence as a New Frontier in Information Systems: Promise, Peril, and Research Opportunities
kumar2025agenticadoption - Laban et al.. LLMs Corrupt Your Documents When You Delegate
laban2026llmscorrupt - Li et al.. Agentic AI and the Rise of in silico Team Science in Biomedical Research
li2026agenticbiomedical - Ngwenyama et al.. Platform Capture of Scientific Knowledge Production: Publishers' Dominance, Generative AI and Subsumption of Academic Labor
ngwenyama2026platform - Novy-Marx & Velikov. Artificial Intelligence--Powered (Finance) Scholarship
novymarx2026aifinance - Yang et al.. ARIS: Autonomous Research via Adversarial Multi-Agent Collaboration
yang2026aris
2025¶
- Bapna et al.. Agentic AI and Managers' Analytics Capabilities: An Exploration
bapna2025analytics - Brodeur et al.. Assessing Reproducibility in Economics Using Standardized Crowd-Sourced Analysis
brodeur2025reproducibility - Brynjolfsson et al.. Generative AI at Work
brynjolfsson2025genaiwork - Chen & others. Reasoning Models Don't Always Say What They Think
chen2025reasoning - Collu et al.. Misleading Large Language Models Used (or Misused) in Scientific Peer-Reviewing via Hidden Prompt-Injection Attacks
collu2025misleading - Filimonovic et al.. Can GenAI Improve Academic Performance? Evidence from the Social and Behavioral Sciences
filimonovic2025genai - Gopal & others. Inventing with Machines: Generative AI and the Evolving Landscape of IS Research
gopal2025inventing - Gridach et al.. Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future Directions
gridach2025agenticsurvey· skimmed - Ifargan et al.. Autonomous LLM-Driven Research --- from Data to Human-Verifiable Research Papers
ifargan2024datatopaper - Keuper. Prompt Injection Attacks on LLM Generated Reviews of Scientific Publications
keuper2025promptinjection - Kwon & Yang. Large Language Models in Academia: Boosting Productivity but Reinforcing Inequality
kwon2025inequality· skimmed - Matton & others. Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations
matton2025walkthetalk - Mikalef et al.. Responsible AI Starts with the Artifact: Challenging the Concept of Responsible AI in IS Research
mikalef2025responsible - Naddaf. AI Is Transforming Peer Review --- and Many Scientists Are Worried
naddaf2025aipeer - Nature Editorial. Transparent Peer Review to Be Extended to All Research Papers
naturePeerReview2025editorial - Peter et al.. The Benefits and Dangers of Anthropomorphic Conversational Agents
peter2025anthropomorphic - Tie et al.. A Survey of AI Scientists
tie2025aiscientistsurvey - Wu & others. Agentic Reasoning: A Streamlined Framework for Enhancing LLM Reasoning with Agentic Tools
wu2025agenticreasoning - Zhang & others. aiXiv: A Next-Generation Open Access Ecosystem for Scientific Discovery Generated by AI Scientists
zhang2025aixiv
2024¶
- Agrawal et al.. AI in Science
agrawal2024aiscience - Alavi et al.. A Knowledge Management Perspective of Generative Artificial Intelligence
alavi2024kmperspective· skimmed - Avital. Digital Transformation of Academic Publishing: A Call for the Decentralization and Democratization of Academic Journals
avital2024decentralization· skimmed - Benbya et al.. Navigating Generative Artificial Intelligence Promises and Perils for Knowledge and Creative Work
benbya2024navigating· skimmed - Drori & Te'eni. Human-in-the-Loop AI Reviewing: Feasibility, Opportunities, and Risks
drori2024humanloop· skimmed - Gregor. Responsible Artificial Intelligence and Journal Publishing
gregor2024responsible· skimmed - Jarvenpaa & Klein. New Frontiers in Information Systems Theorizing: Human-gAI Collaboration
jarvenpaa2024theorizing· skimmed - Kankanhalli. Peer Review in the Age of Generative AI
kankanhalli2024peerreview· skimmed - Latona et al.. The AI Review Lottery: Widespread AI-Assisted Peer Reviews Boost Paper Scores and Acceptance Rates
latona2024reviewlottery - Liang et al.. Mapping the Increasing Use of LLMs in Scientific Papers
liang2024mapping - Liang et al.. Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews
liang2024monitoring - Lund et al.. The Impact of AI on Academic Research and Publishing
lund2024aiacademic - Goldberg et al.. Usefulness of LLMs as an Author Checklist Assistant for Scientific Papers: NeurIPS'24 Experiment
neurips2024checklist - Ngwenyama & Rowe. Should We Collaborate with AI to Conduct Literature Reviews? Changing Epistemic Values in a Flattening World
ngwenyama2024literature· skimmed - Riemer & Peter. Conceptualizing Generative AI as Style Engines: Application Archetypes and Implications
riemer2024styleengines - Sabherwal & Grover. The Societal Impacts of Generative Artificial Intelligence: A Balanced Perspective
sabherwal2024societal· skimmed - Sarker et al.. Democratizing Knowledge Creation Through Human-AI Collaboration in Academic Peer Review
sarker2024democratizing· skimmed - Schwartz & Te'eni. AI for Knowledge Creation, Curation, and Consumption in Context
schwartz2024kcc - Shmueli & Ray. Reimagining the Journal Editorial Process: An AI-Augmented Versus an AI-Driven Future
shmueli2024editorial· skimmed - Watson et al.. Extending the Foresight of Phillip Ein-Dor: Causal Knowledge Analytics
watson2024causal· skimmed - Weber. The Other Reviewer: RoboReviewer
weber2024roboreviewer· skimmed - Yoo. Evolving Epistemic Infrastructure: The Role of Scientific Journals in the Age of Generative AI
yoo2024epistemic· skimmed
2023¶
- Ji & others. Survey of Hallucination in Natural Language Generation
ji2023hallucination - Mitchell & Krakauer. The Debate over Understanding in AI's Large Language Models
mitchell2023understanding - Noy & Zhang. Experimental Evidence on the Productivity Effects of Generative Artificial Intelligence
noy2023experimental - Park & others. Generative Agents: Interactive Simulacra of Human Behavior
park2023generative - Schick & others. Toolformer: Language Models Can Teach Themselves to Use Tools
schick2023toolformer - Susarla et al.. The Janus Effect of Generative AI: Charting the Path for Responsible Conduct of Scholarly Activities in Information Systems
susarla2023janus
2020¶
- Maynez & others. On Faithfulness and Factuality in Abstractive Summarization
maynez2020faithfulness
2019¶
- Sarker & others. The Sociotechnical Axis of Cohesion for the IS Discipline: Its Historical Legacy and Its Continued Relevance
sarker2019sociotechnical
2012¶
- Aral et al.. Information, Technology, and Information Worker Productivity
aral2012itproductivity
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