Align AI to Dynamic Human-AI Workflows | Paper Citation Record

Observation 05b6828d-af61-4d09-b214-554e4620a4e6 · outbound

This paper cites Bennett, Kori Inkpen, Jaime Teevan, Ruth Kikin-Gil, and Eric Horvitz.

Align AI to Dynamic Human-AI Workflows Bennett, Kori Inkpen, Jaime Teevan, Ruth Kikin-Gil, and Eric Horvitz

Reference 1

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Observation a42d32b2-35ee-4913-8519-c8d958b9c376 · outbound

This paper cites Argall, Sonia Chernova, Manuela Veloso, and Brett Browning.

Align AI to Dynamic Human-AI Workflows Argall, Sonia Chernova, Manuela Veloso, and Brett Browning

Reference 2

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Observation 11d306aa-b632-4fb6-aa11-edf2b9b5fd27 · outbound

This paper cites Transactive memory systems: A microfoundation of dynamic capabilities.Journal of Management Studies, 49(8):1375–1382, 2012.

Align AI to Dynamic Human-AI Workflows Transactive memory systems: A microfoundation of dynamic capabilities.Journal of Management Studies, 49(8):1375–1382, 2012

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Observation bae0e4af-24ce-4421-8aeb-a92f73fb7b81 · outbound

This paper cites Ironies of automation.Automatica, 19(6):775–779, 1983.

Align AI to Dynamic Human-AI Workflows Ironies of automation.Automatica, 19(6):775–779, 1983

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Observation 52064b58-71d4-4416-889b-692eaf368f30 · outbound

This paper cites Is the most accurate ai the best teammate? optimizing ai for teamwork.Proceedings of the AAai Conference on Artificial Intelligence, 35(13):11405–11414, 2021.

Align AI to Dynamic Human-AI Workflows Is the most accurate ai the best teammate? optimizing ai for teamwork.Proceedings of the AAai Conference on Artificial Intelligence, 35(13):11405–11414, 2021

Reference 5

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Observation 0cafe71d-6011-4ab4-a828-bfbb5493b9db · outbound

This paper cites Beyond accuracy: The role of mental models in human-ai team performance.Proceedings of the AAai Conference on Human Computation and Crowdsourcing, 7:2–11, 2019.

Align AI to Dynamic Human-AI Workflows Beyond accuracy: The role of mental models in human-ai team performance.Proceedings of the AAai Conference on Human Computation and Crowdsourcing, 7:2–11, 2019

Reference 6

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Observation f090249d-33e9-4de4-b2c9-f4cc64e61798 · outbound

This paper cites Does the whole exceed its parts? the effect of ai explanations on complementary team performance.

Align AI to Dynamic Human-AI Workflows Does the whole exceed its parts? the effect of ai explanations on complementary team performance

Reference 7

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Observation 7d5ff4c3-af33-4c82-97dd-124e7a8ba3e6 · outbound

This paper cites SWE-chat: Coding Agent Interactions From Real Users in the Wild.

Align AI to Dynamic Human-AI Workflows SWE-chat: Coding Agent Interactions From Real Users in the Wild

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Observation 1fa0373e-63b6-446a-8473-1c5fe462af57 · outbound

This paper cites an unresolved cited work.

Align AI to Dynamic Human-AI Workflows Unresolved cited work

Reference 9

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Observation 33cc0c95-fcad-48c5-b418-1de7bc444279 · outbound

This paper cites an unresolved cited work.

Align AI to Dynamic Human-AI Workflows Unresolved cited work

Reference 10

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Observation 5b46869d-764f-4c13-a79c-8125efb6ff7d · outbound

This paper cites Reflections on shared cognition.Journal of Organi- zational Behavior, 22(2):195–202, 2001.

Align AI to Dynamic Human-AI Workflows Reflections on shared cognition.Journal of Organi- zational Behavior, 22(2):195–202, 2001

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Observation 42124eaa-01cf-4351-aa71-30054336bb9d · outbound

This paper cites Ho, Thomas L.

Align AI to Dynamic Human-AI Workflows Ho, Thomas L

Reference 12

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Observation 42303ba2-7bcc-44b7-83d6-9b54902360fa · outbound

This paper cites Vera Liao, Jennifer Wortman Vaughan, and Gagan Bansal.

Align AI to Dynamic Human-AI Workflows Vera Liao, Jennifer Wortman Vaughan, and Gagan Bansal

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Observation cd7aa74d-440d-41ea-a9d4-3e383d2a9439 · outbound

This paper cites How can we assess human-agent interactions? Case studies in software agent design.

Align AI to Dynamic Human-AI Workflows How can we assess human-agent interactions? Case studies in software agent design

Reference 14

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Observation 3fea93e6-d9b6-42bf-89ad-a128cdfcc47f · outbound

This paper cites Christiano, Jan Leike, Tom B.

Align AI to Dynamic Human-AI Workflows Christiano, Jan Leike, Tom B

Reference 15

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Observation 7b0074a2-be3d-4ac0-8f9a-88db3fa69059 · outbound

This paper cites A coordination theory approach to organizational process design.Organization Science, 8(2):157–175, 1997.

Align AI to Dynamic Human-AI Workflows A coordination theory approach to organizational process design.Organization Science, 8(2):157–175, 1997

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Observation 0d90dd25-e1b4-41bd-9426-dd2b95b34791 · outbound

This paper cites Cooperative ai: Machines must learn to find common ground.Nature, 593(7857):33–36, 2021.

Align AI to Dynamic Human-AI Workflows Cooperative ai: Machines must learn to find common ground.Nature, 593(7857):33–36, 2021

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Observation 8aa379a1-2fb0-49b1-9677-5365e50b0c0f · outbound

This paper cites Adiachronic perspective on user trust in ai under uncertainty.

Align AI to Dynamic Human-AI Workflows Adiachronic perspective on user trust in ai under uncertainty

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Observation 9875a2d4-3e0d-46d2-ab44-f0d896855eb2 · outbound

This paper cites Productivity loss in brainstorming groups: Toward the solution of a riddle.Journal of Personality and Social Psychology, 53(3):497–509, 1987.

Align AI to Dynamic Human-AI Workflows Productivity loss in brainstorming groups: Toward the solution of a riddle.Journal of Personality and Social Psychology, 53(3):497–509, 1987

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Observation 10305533-b61f-4ff3-817f-0d3682fc520f · outbound

This paper cites Algorithm aversion: People erro- neously avoid algorithms after seeing them err.Journal of Experimental Psychology: General, 144(1):114–126, 2015.

Align AI to Dynamic Human-AI Workflows Algorithm aversion: People erro- neously avoid algorithms after seeing them err.Journal of Experimental Psychology: General, 144(1):114–126, 2015

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Observation 61fd889c-d99d-4761-b48c-1f0fa65bd63f · outbound

This paper cites The role of trust in organizational settings.Organization Science, 12(4):450–467, 2001.

Align AI to Dynamic Human-AI Workflows The role of trust in organizational settings.Organization Science, 12(4):450–467, 2001

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Observation d978251e-879e-4de4-b290-8669ffe3f1e7 · outbound

This paper cites Psychological safety and learning behavior in work teams.Administrative Science Quarterly, 44(2):350–383, 1999.

Align AI to Dynamic Human-AI Workflows Psychological safety and learning behavior in work teams.Administrative Science Quarterly, 44(2):350–383, 1999

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Observation ec4ddf64-7efc-4902-bcb6-90be8cb4f34a · outbound

This paper cites Observation Interference in Partially Observable Assistance Games.

Align AI to Dynamic Human-AI Workflows Observation Interference in Partially Observable Assistance Games

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Observation b4f130d7-b1a0-4da2-b5c4-7a22120f020c · outbound

This paper cites Coordinating expertise in software development teams.Manage- ment Science, 46(12):1554–1568, 2000.

Align AI to Dynamic Human-AI Workflows Coordinating expertise in software development teams.Manage- ment Science, 46(12):1554–1568, 2000

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Observation 62bc4267-abcf-4502-b186-44915c7a6399 · outbound

This paper cites Coordination in fast-response organizations.Management Science, 52(8):1155–1169, 2006.

Align AI to Dynamic Human-AI Workflows Coordination in fast-response organizations.Management Science, 52(8):1155–1169, 2006

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Observation 0b9a69ee-c1bf-43d0-ad9b-97915357d347 · outbound

This paper cites Technology as teammate: Examining the role of external cognition in support of team cognitive processes.Frontiers in Psychology, 7:1531, 2016.

Align AI to Dynamic Human-AI Workflows Technology as teammate: Examining the role of external cognition in support of team cognitive processes.Frontiers in Psychology, 7:1531, 2016

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Observation b0fc5983-ac17-4391-99c5-55e0f4c866b9 · outbound

This paper cites Foerster, Yannis M.

Align AI to Dynamic Human-AI Workflows Foerster, Yannis M

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Observation 9208c39a-625a-4f43-8637-40cfa0f8804d · outbound

This paper cites Datasheets for datasets.Communications of the ACM, 64(12):86–92, 2021.

Align AI to Dynamic Human-AI Workflows Datasheets for datasets.Communications of the ACM, 64(12):86–92, 2021

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Observation 95835d46-301c-4e78-9964-c31a3b219da1 · outbound

This paper cites Human trust in artificial intelligence: Review of empirical research.Academy of Management Annals, 14(2):627–660, 2020.

Align AI to Dynamic Human-AI Workflows Human trust in artificial intelligence: Review of empirical research.Academy of Management Annals, 14(2):627–660, 2020

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Observation 89d165f3-1c3f-4ef6-8e7f-8bee679df0b4 · outbound

This paper cites A cognitive model of dynamiccooperationwithvariedinterdependencyinformation.Cognitivescience, 39(3):457–495, 2015.

Align AI to Dynamic Human-AI Workflows A cognitive model of dynamiccooperationwithvariedinterdependencyinformation.Cognitivescience, 39(3):457–495, 2015

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Observation 0c457bb0-b91c-4b73-820b-88f2abe99e4e · outbound

This paper cites Toward a science of human–ai teaming for decision making: A complementarity framework.PNAS Nexus, 5(3):pgag030, 03 2026.

Align AI to Dynamic Human-AI Workflows Toward a science of human–ai teaming for decision making: A complementarity framework.PNAS Nexus, 5(3):pgag030, 03 2026

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Observation 6917b6be-bab4-4d68-b5d8-f9632c4b11f1 · outbound

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Align AI to Dynamic Human-AI Workflows A cognitive approach to human–ai complementarity in dynamic decision-making.Nat

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Observation f6d00ff5-ea99-415f-a0c6-1e3be32d177b · outbound

This paper cites The science of teams in the military: Contributions from over 60 years of research.American Psychologist, 73(4):322, 2018.

Align AI to Dynamic Human-AI Workflows The science of teams in the military: Contributions from over 60 years of research.American Psychologist, 73(4):322, 2018

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Observation c843c4b9-cbb3-48df-9f9d-e1476031195f · outbound

This paper cites ai and hci: Two fields divided by a common focus.ai magazine, 30(4):48–48, 2009.

Align AI to Dynamic Human-AI Workflows ai and hci: Two fields divided by a common focus.ai magazine, 30(4):48–48, 2009

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Observation a7ae9924-4949-4c67-896a-8b052ede5e06 · outbound

This paper cites Harvard Business School Press, Boston, MA, 2002.

Align AI to Dynamic Human-AI Workflows Harvard Business School Press, Boston, MA, 2002

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Observation ae09a643-1b94-4d12-8c62-8bafb505589e · outbound

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Align AI to Dynamic Human-AI Workflows Dynamics of human trust in recommender systems

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Observation b9f38e5a-8720-495d-96c4-d25a9c0c9aca · outbound

This paper cites Com- plementarity in human-ai collaboration: Concept, sources, and evidence.European Journal of Information Systems, 34(6):979–1002, 2025.

Align AI to Dynamic Human-AI Workflows Com- plementarity in human-ai collaboration: Concept, sources, and evidence.European Journal of Information Systems, 34(6):979–1002, 2025

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Observation 800e4175-fdeb-4fb2-9ec2-b5172cd1048d · outbound

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Align AI to Dynamic Human-AI Workflows Anempiricalstudyofspeedandcommunicationinglobally distributed software development.IEEE Transactions on Software Engineering, 29(6):481–494, 2003

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Observation 13abf276-4b04-4667-83eb-d211db64cf1b · outbound

This paper cites Trust in automation: Integrating empirical evidence on factors that influence trust.Human Factors, 57(3):407–434, 2015.

Align AI to Dynamic Human-AI Workflows Trust in automation: Integrating empirical evidence on factors that influence trust.Human Factors, 57(3):407–434, 2015

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Observation 2a6dc057-eb58-440f-86ad-ef8ad6fe5c65 · outbound

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Align AI to Dynamic Human-AI Workflows Distributedcognition: Towardanewfoundation for human-computer interaction research.ACM Transactions on Computer-Human Interaction, 7(2):174–196, 2000

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Observation 978cd1b6-1d2e-4db0-846a-21fa08aeaed1 · outbound

This paper cites Improving fairness in machine learning systems: What do industry practitioners need? In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, pages 1–16.

Align AI to Dynamic Human-AI Workflows Improving fairness in machine learning systems: What do industry practitioners need? In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, pages 1–16

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Align AI to Dynamic Human-AI Workflows Principles of mixed-initiative user interfaces

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Observation 84fcfdd2-d664-4495-a3c9-36b1feffcefe · outbound

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Align AI to Dynamic Human-AI Workflows Houghton Mifflin, Boston, MA, 2 edition, 1982

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Observation 18ab9a2e-36d2-4af5-873c-cfd0601cd360 · outbound

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Align AI to Dynamic Human-AI Workflows Artificial intelligence and the future of work: Human-ai symbiosis in organizational decision making.Business Horizons, 61(4):577–586, 2018

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Observation 5cafad61-3b72-411a-a5dd-cc1fc04ece4e · outbound

This paper cites Jimenez, John Yang, Alexander Wettig, Shunyu Yao, Kexin Pei, Ofir Press, and Karthik Narasimhan.

Align AI to Dynamic Human-AI Workflows Jimenez, John Yang, Alexander Wettig, Shunyu Yao, Kexin Pei, Ofir Press, and Karthik Narasimhan

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Observation 4e71ee22-99da-40c4-8ba3-bcb84441ad7b · outbound

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Align AI to Dynamic Human-AI Workflows Reciprocal trust mediates deep transfer of learning between games of strategic interaction.Organizational Behavior and Human Decision Processes, 120(2):206–215, 2013

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Observation 13b71e7e-b25b-4d84-8096-474abce45bde · outbound

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Align AI to Dynamic Human-AI Workflows Unresolved cited work

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Observation 0922864c-9b73-47e8-896c-8317d12bea45 · outbound

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Align AI to Dynamic Human-AI Workflows Algorithms at work: The new contested terrain of control.Academy of Management Annals, 14(1):366–410, 2020

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Observation 63331b6c-a89b-4ef6-8207-b544ae5f224c · outbound

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Align AI to Dynamic Human-AI Workflows Dynabench: Rethinking benchmarking in NLP

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Observation bf31871d-9408-4418-96b4-04ff9302b7d3 · outbound

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Align AI to Dynamic Human-AI Workflows Common ground and coordination in joint activity.Organizational Simulation, 53:139–184, 2005

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Observation 9999557f-7d99-4f84-b1a9-205dc3864105 · outbound

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Align AI to Dynamic Human-AI Workflows Team mental model: Construct or metaphor?Journal of Management, 20(2):403–437, 1994

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Observation 64072ae3-a52d-477f-9058-770279aed46b · outbound

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Align AI to Dynamic Human-AI Workflows Enhancing the effectiveness of work groups and teams

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Observation 4d56e5e0-8fc6-41ab-a896-92488cae1d89 · outbound

This paper cites Trust in automation: Designing for appropriate reliance.Human Factors, 46(1):50–80, 2004.

Align AI to Dynamic Human-AI Workflows Trust in automation: Designing for appropriate reliance.Human Factors, 46(1):50–80, 2004

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Observation 4ddc1830-e942-4133-9c76-c6b0e226505b · outbound

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Align AI to Dynamic Human-AI Workflows Unresolved cited work

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Observation 5490b045-224a-487d-bb9a-59590f43fab3 · outbound

This paper cites Trust, trust development, and trust repair.The handbook of conflict resolution: Theory and practice, 1(1):86–107, 2000.

Align AI to Dynamic Human-AI Workflows Trust, trust development, and trust repair.The handbook of conflict resolution: Theory and practice, 1(1):86–107, 2000

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Observation 4df8ccf3-d9ad-491f-ab9e-4d249bc360f7 · outbound

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Align AI to Dynamic Human-AI Workflows Measuringtransactivememorysystemsinthefield: Scaledevelopmentandvalidation

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Observation 84b1320e-5838-44d3-bb15-9bc69c354f0a · outbound

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Align AI to Dynamic Human-AI Workflows Learning to trust: How humans mentally recalibrate ai confidence signals.arXiv preprint arXiv:2603.22634, 2026

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Observation f5cb842e-e93d-4aa0-9b89-11fb48301f9a · outbound

This paper cites Group versus individual training and group performance: The mediating role of transactive memory.Personality and Social Psychology Bulletin, 21(4):384–393, 1995.

Align AI to Dynamic Human-AI Workflows Group versus individual training and group performance: The mediating role of transactive memory.Personality and Social Psychology Bulletin, 21(4):384–393, 1995

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Observation 0b06fc45-d84b-4544-ace3-6be03d582f8e · outbound

This paper cites Logg, Julia A.

Align AI to Dynamic Human-AI Workflows Logg, Julia A

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Observation 6cf6f1c8-1645-45de-934a-af94ca22cbd5 · outbound

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Align AI to Dynamic Human-AI Workflows Multi-agent actor-critic for mixed cooperative-competitive environments

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Observation f6a610c4-a184-41cc-8074-66865e1b780f · outbound

This paper cites Understanding the performance gap between online and offline alignment algorithms.

Align AI to Dynamic Human-AI Workflows Understanding the performance gap between online and offline alignment algorithms

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Observation 89f9c76f-bffc-4319-baf8-7988bb30e812 · outbound

This paper cites ai-based digital assistants.

Align AI to Dynamic Human-AI Workflows ai-based digital assistants

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Observation 55a03178-f209-4eca-8cb0-13f4da38b5ff · outbound

This paper cites The interdisciplinary study of coordination.ACM Computing Surveys, 26(1):87–119, 1994.

Align AI to Dynamic Human-AI Workflows The interdisciplinary study of coordination.ACM Computing Surveys, 26(1):87–119, 1994

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Observation 894dbccc-857b-4036-a3e6-aea33965c2cd · outbound

This paper cites A temporally based framework and taxonomy of team processes.Academy of Management Review, 26(3):356–376, 2001.

Align AI to Dynamic Human-AI Workflows A temporally based framework and taxonomy of team processes.Academy of Management Review, 26(3):356–376, 2001

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Observation 04e55d5f-c308-4048-9c4b-f017cdfbbb6a · outbound

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Align AI to Dynamic Human-AI Workflows The influence of shared mental models on team process and performance.Journal of Applied Psychology, 85(2):273–283, 2000

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Observation aed444f8-d495-4ef9-acea-37fc26d6b038 · outbound

This paper cites An integrative model of organizational trust.Academy of Management Review, 20(3):709–734, 1995.

Align AI to Dynamic Human-AI Workflows An integrative model of organizational trust.Academy of Management Review, 20(3):709–734, 1995

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Observation fff9962d-02fd-4bb2-961e-70b0e66c7f68 · outbound

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Align AI to Dynamic Human-AI Workflows Trust in developing relationships: from theory to measurement

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Observation 84cc4cab-659e-4b30-a1df-092d54217a33 · outbound

This paper cites Explanation in artificial intelligence: Insights from the social sciences.Artificial Intelligence, 267:1–38, 2019.

Align AI to Dynamic Human-AI Workflows Explanation in artificial intelligence: Insights from the social sciences.Artificial Intelligence, 267:1–38, 2019

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Observation c9743927-f473-4091-8fc5-c134a9c5a207 · outbound

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Align AI to Dynamic Human-AI Workflows Model cards for model reporting

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Observation d86f17af-a656-4c6e-8991-913d58f37699 · outbound

This paper cites The realhumaneval: Evaluating large language models’ abilities to support programmers.Transactions on Machine Learning Research, 2025.

Align AI to Dynamic Human-AI Workflows The realhumaneval: Evaluating large language models’ abilities to support programmers.Transactions on Machine Learning Research, 2025

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Observation 1fce2805-1c91-404a-8e00-dd2931adc620 · outbound

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Observation 47a5da89-5a51-4df5-8e46-bdf94ec8ee5d · outbound

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Observation b7c55e89-6e96-4320-b27b-dfb5b636795f · outbound

This paper cites an unresolved cited work.

Align AI to Dynamic Human-AI Workflows Unresolved cited work

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Observation 3a5e8719-6921-4307-9e70-d321b451718e · outbound

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Align AI to Dynamic Human-AI Workflows Training language models to follow instructions with human feedback.Advances in neural information processing systems, 35:27730–27744, 2022

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Observation f2518011-cedb-49b5-b2a7-8ecade9ec5a5 · outbound

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Align AI to Dynamic Human-AI Workflows Humans and automation: Use, misuse, disuse, abuse.Human Factors, 39(2):230–253, 1997

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Observation edbcbfbe-154c-4aa0-bfc8-1090d07c1455 · outbound

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Align AI to Dynamic Human-AI Workflows Amodelfortypesandlevels of human interaction with automation.IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, 30(3):286–297, 2000

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Observation c6101cd3-fe79-49aa-bd92-5bc7e59acbbb · outbound

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Align AI to Dynamic Human-AI Workflows The Impact of AI on Developer Productivity: Evidence from GitHub Copilot

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Observation adc3edc1-55cd-4831-9427-c0d5faabe15a · outbound

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Align AI to Dynamic Human-AI Workflows ALVINN: An autonomous land vehicle in a neural network

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Observation 508baa59-aabd-4d3f-9c08-ecde2f48e7ff · outbound

This paper cites Data cards: Purposeful and transparent dataset documentation for responsible ai.

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Observation 2cd6ed06-4514-4c61-9fad-ade810417784 · outbound

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Align AI to Dynamic Human-AI Workflows Rabinowitz, Frank Perbet, H

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Observation 880fa4ba-44a2-4eff-b449-0d0a850f6de7 · outbound

This paper cites Manning, Stefano Ermon, and Chelsea Finn.

Align AI to Dynamic Human-AI Workflows Manning, Stefano Ermon, and Chelsea Finn

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Observation 80a91594-5572-49b7-8827-b7dd5d3e3b13 · outbound

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Align AI to Dynamic Human-AI Workflows A taxonomy of human and ml strengths in decision-making to investigate human-ml complementarity

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Observation 69f4e3b4-857d-4849-919e-fcf6c00bb506 · outbound

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Observation a6ef88d7-9b98-48d9-b251-fd232b578a9c · outbound

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Align AI to Dynamic Human-AI Workflows A reduction of imitation learning and structured prediction to no-regret online learning

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Observation 4779c81d-297f-47bf-813e-51e5b299a3ac · outbound

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Observation 62f690fe-54ac-44cb-bf69-403c1b7ce698 · outbound

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Align AI to Dynamic Human-AI Workflows On teams, teamwork, and team perfor- mance: Discoveries and developments.Human Factors, 50(3):540–547, 2008

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Observation bd84fcb8-44e3-476a-9922-7f7197809bd2 · outbound

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Align AI to Dynamic Human-AI Workflows everyone wants to do the model work, not the data work

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Observation 0b207eec-4562-488d-98f1-5dfd4953471a · outbound

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Align AI to Dynamic Human-AI Workflows An integrative model of organizational trust: Past, present, and future, 2007

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Observation 20c8d6e3-9cc4-4d48-bbc4-418e3fd9e4e7 · outbound

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Observation fb48f680-a468-4921-9891-14120e2a6e02 · outbound

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Observation d122e8fc-e8a3-4292-a24a-ff7ec0a4d532 · outbound

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Observation bb07850a-fb14-470f-af8e-245e03147988 · outbound

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Observation 1b40700c-d98c-4d4d-8305-ac578a65dd79 · outbound

This paper cites Ziegler, Ryan Lowe, Chelsea Voss, Alec Radford, Dario Amodei, and Paul Christiano.

Align AI to Dynamic Human-AI Workflows Ziegler, Ryan Lowe, Chelsea Voss, Alec Radford, Dario Amodei, and Paul Christiano

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Observation c9636506-942b-485d-b398-1708361cd45e · outbound

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Observation 4f8b404f-4ec6-4236-b3a1-8fa1d142d964 · outbound

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Align AI to Dynamic Human-AI Workflows When combinations of humans and ai are useful: A systematic review and meta-analysis.Nature Human Behaviour, 8(12):2293– 2303, 2024

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Observation 1f84977f-8853-438d-8181-7f8d75f66a12 · outbound

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Align AI to Dynamic Human-AI Workflows Transactive memory: A contemporary analysis of the group mind

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Observation e01099fa-3f5d-46b6-bad2-2c096d1bb40d · outbound

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Align AI to Dynamic Human-AI Workflows A survey of preference-based reinforcement learning methods.Journal of Machine Learning Research, 18(136):1–46, 2017

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Observation e889475b-65c8-49aa-a7b5-8f4fee20c082 · outbound

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Align AI to Dynamic Human-AI Workflows Tacit coordination in anticipation of small group task completion.Journal of Experimental Social Psychology, 32(2):129–152, 1996

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Observation f404a963-5f42-41d7-8919-281b9a61052e · outbound

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Align AI to Dynamic Human-AI Workflows Evidence for a collective intelligence factor in the performance of human groups.Science, 330(6004):686–688, 2010

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Observation 6b4ee540-9835-44cd-bfe8-8b6a35286496 · outbound

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Align AI to Dynamic Human-AI Workflows Collabllm: From passive responders to active collaborators

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