Bibliography

Every work this repository cites, once: Key, citation, and a stable link.

Shape: references

Key Citation Link
Akata 2020 Akata, Balliet, de Rijke, Dignum and others (2020). A research agenda for hybrid intelligence. Computer 53(8). Abstract read https://doi.org/10.1109/MC.2020.2996587
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Anthropic 2024 Anthropic (2024-12-19). Building effective agents. Engineering post. Read in full https://www.anthropic.com/engineering/building-effective-agents
Agentic AI Foundation 2026 Agentic AI Foundation (accessed 2026). AGENTS.md: a simple, open format for guiding coding agents. Agentic AI Foundation, Linux Foundation https://agents.md
Berretta 2023 Berretta, Tausch, Ontrup, Gilles and others (2023). Defining human-AI teaming the human-centered way: a scoping review and network analysis. Frontiers in Artificial Intelligence 6. Abstract read https://doi.org/10.3389/frai.2023.1250725
Case 2018 Case (2018). How to become a centaur. Journal of Design and Science. Abstract read https://doi.org/10.21428/61b2215c
Dell'Acqua 2023 Dell'Acqua, McFowland, Mollick, Lifshitz-Assaf and others (2023). Navigating the jagged technological frontier: field experimental evidence of the effects of AI on knowledge worker productivity and quality. Working paper. Abstract read https://doi.org/10.2139/ssrn.4573321
Dellermann 2019 Dellermann, Ebel, Söllner, Leimeister (2019). Hybrid intelligence. Business and Information Systems Engineering 61. Definition read in the author copy https://doi.org/10.1007/s12599-019-00595-2
Engelbart 1962 Engelbart (1962). Augmenting human intellect: a conceptual framework. SRI Summary Report AFOSR-3223. Read in part: the definition and H-LAM/T https://www.dougengelbart.org/pubs/augment-3906.html
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González 2026 González, Donahue, Goldstein, Heidari, Jalali, Schelble and others (2026). Toward a science of human-AI teaming for decision making: a complementarity framework. PNAS Nexus. Abstract read https://doi.org/10.1093/pnasnexus/pgag030
Gómez 2025 Gómez, Cho, Ke, Huang, Unberath (2025). Human-AI collaboration is not very collaborative yet: a taxonomy of interaction patterns in AI-assisted decision making from a systematic review. Frontiers in Computer Science. Abstract read https://doi.org/10.3389/fcomp.2024.1521066
Hassani 2020 Hassani, Silva, Unger, TajMazinani, Mac Feely (2020). Artificial intelligence (AI) or intelligence augmentation (IA): what is the future? AI 1(2). Abstract read https://doi.org/10.3390/ai1020008
Hemmer 2025 Hemmer, Schemmer, Kühl, Vössing, Satzger and others (2025). Complementarity in human-AI collaboration: concept, sources, and evidence. European Journal of Information Systems. Abstract read https://doi.org/10.1080/0960085x.2025.2475962
Kim 2025 Kim, Gu, Park et al. (2025). Towards a science of scaling agent systems. Preprint. Read in full arXiv:2512.08296
Licklider 1960 Licklider (1960). Man-computer symbiosis. IRE Transactions on Human Factors in Electronics. Abstract read https://doi.org/10.1109/THFE2.1960.4503259
Mosqueira-Rey 2022 Mosqueira-Rey, Hernández-Pereira, Alonso-Ríos, Bobes-Bascarán and others (2022). Human-in-the-loop machine learning: a state of the art. Artificial Intelligence Review. Abstract read https://doi.org/10.1007/s10462-022-10246-w
Noy 2023 Noy, Zhang (2023). Experimental evidence on the productivity effects of generative artificial intelligence. Science. Abstract read https://doi.org/10.1126/science.adh2586
O'Neill 2020 O'Neill, McNeese, Barron, Schelble (2020). Human-autonomy teaming: a review and analysis of the empirical literature. Human Factors. Abstract read https://doi.org/10.1177/0018720820960865
Parasuraman 2000 Parasuraman, Sheridan, Wickens (2000). A model for types and levels of human interaction with automation. IEEE Transactions on Systems, Man, and Cybernetics A 30(3). Abstract read https://doi.org/10.1109/3468.844354
Peng 2023 Peng, Kalliamvakou, Cihon, Demirer (2023). The impact of AI on developer productivity: evidence from GitHub Copilot. Preprint. Abstract read https://arxiv.org/abs/2302.06590
Raisch 2021 Raisch, Krakowski (2021). Artificial intelligence and management: the automation-augmentation paradox. Academy of Management Review. Abstract read https://doi.org/10.5465/amr.2018.0072
Richardson 2025 Richardson, Fidock, Gunawan (2025). Systematic literature review of levels of automation (autonomy) taxonomy: critiques and recommendations. International Journal of Human-Computer Interaction. Abstract read https://doi.org/10.1080/10447318.2025.2502978
Seeber 2020 Seeber, Bittner, Briggs, de Vreede and others (2020). Machines as teammates: a research agenda on AI in team collaboration. Information and Management. Abstract read https://doi.org/10.1016/j.im.2019.103174
Shneiderman 2020 Shneiderman (2020). Human-centered artificial intelligence: reliable, safe and trustworthy. International Journal of Human-Computer Interaction. Abstract read https://doi.org/10.1080/10447318.2020.1741118
Vaccaro 2024 Vaccaro, Almaatouq, Malone (2024). When combinations of humans and AI are useful: a systematic review and meta-analysis. Nature Human Behaviour 8, 2293-2303. Abstract read https://doi.org/10.1038/s41562-024-02024-1
Wu 2022b Wu, Xiao, Sun, Zhang and others (2022). A survey of human-in-the-loop for machine learning. Future Generation Computer Systems. Abstract read https://doi.org/10.1016/j.future.2022.05.014
Xu 2026 Xu, Wu (2026). Stale instruction files override the code in coding agents: a one-sentence fix. Preprint. Abstract read https://arxiv.org/abs/2610.30571
Zou 2025 Zou and others (2025). LLM-based human-agent collaboration and interaction systems: a survey. Preprint. Abstract read https://arxiv.org/abs/2505.00753