mlsanityData to 7 Oct 2026

Human-AI Symbiosis: A Survey of Current Approaches

arXiv 2103.09990 ↗First posted 18 Mar 2021cs.AIcited by 8

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Abstract (arXiv)

In this paper, we aim at providing a comprehensive outline of the different threads of work in human-AI collaboration. By highlighting various aspects of works on the human-AI team such as the flow of complementing, task horizon, model representation, knowledge level, and teaming goal, we make a taxonomy of recent works according to these dimensions. We hope that the survey will provide a more clear connection between the works in the human-AI team and guidance to new researchers in this area.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 15 of its 54 references that are in the map. First posted on arXiv 18 Mar 2021.

Builds on

15 of 54 references.

References · 15

  1. 2020Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performancecited by 396
  2. 2020Learning to Complement Humanscited by 123
  3. 2018Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failurecited by 49
  4. 2018Explicability? Legibility? Predictability? Transparency? Privacy? Security? The Emerging Landscape of Interpretable Agent Behaviorcited by 30
  5. 2015Plan Explicability and Predictability for Robot Task Planningcited by 26
  6. 2018Investigating Human + Machine Complementarity for Recidivism Predictionscited by 19
  7. 2016On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systemscited by 18
  8. 2018A Unified Framework for Planning in Adversarial and Cooperative Environmentscited by 15
  9. 2018Expressing Robot Incapabilitycited by 12
  10. 2019Signaling Friends and Head-Faking Enemies Simultaneously: Balancing Goal Obfuscation and Goal Legibilitycited by 9
  11. 2020Is the Most Accurate AI the Best Teammate? Optimizing AI for Teamworkcited by 9
  12. 2019Expectation-Aware Planning: A Unifying Framework for Synthesizing and Executing Self-Explaining Plans for Human-Aware Planningcited by 8
3 more
  1. 2017Balancing Explicability and Explanation in Human-Aware Planningcited by 6
  2. 2019Nonverbal Robot Feedback for Human Teacherscited by 4
  3. 2020Model Elicitation through Direct Questioningcited by 4

Built on by

Cited by year

Citing papers per year: 2021: 1; 2022: 1; 2023: 3; 2024: 2; 2025: 1.

8 papers.

  1. 2023LEGO-Prover: Neural Theorem Proving with Growing Librariescited by 108
  2. 2021Combining Human Predictions with Model Probabilities via Confusion Matrices and Calibrationcited by 40
  3. 2024Evaluating Human-AI Collaboration: A Review and Methodological Frameworkcited by 25
  4. 2023Agent Teaming Situation Awareness (ATSA): A Situation Awareness Framework for Human-AI Teamingcited by 3
  5. 2022Modeling Human Behavior Part I -- Learning and Belief Approachescited by 1
  6. 2023Updating Clinical Risk Stratification Models Using Rank-Based Compatibility: Approaches for Evaluating and Optimizing Clinician-Model Team Performancecited by 1
  7. 2025The Morality of Probability: How Implicit Moral Biases in LLMs May Shape the Future of Human-AI Symbiosiscited by 1
  8. 2024Expansion of situations theory for exploring shared awareness in human-intelligent autonomous systemscited by 0