mlsanityData to 7 Oct 2026

A Beautiful Mind: Principles and Strategies for AI-Augmented Human Reasoning

arXiv 2503.15530 ↗First posted 5 Feb 2025cs.HC cs.AIcited by 0

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Abstract (arXiv)

Amidst the race to create more intelligent machines there is a risk that we will rely on AI in ways that reduce our own agency as humans. To reduce this risk, we could aim to create tools that prioritize and enhance the human role in human-AI interactions. This paper outlines a human-centered augmented reasoning paradigm by 1. Articulating fundamental principles for augmented reasoning tools, emphasizing their ergonomic, pre-conclusive, directable, exploratory, enhancing, and integrated nature; 2. Proposing a 'many tasks, many tools' approach to ensuring human influence and control, and 3. Offering examples of interaction modes that can serve as bridges between human reasoning and AI algorithms.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 12 of its 92 references that are in the map. First posted on arXiv 5 Feb 2025.

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12 of 92 references.

References · 12

  1. 2017Towards A Rigorous Science of Interpretable Machine Learningcited by 1,400
  2. 2020Questioning the AI: Informing Design Practices for Explainable AI User Experiencescited by 251
  3. 2023SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Taskscited by 166
  4. 2021Human-Centered Explainable AI (XAI): From Algorithms to User Experiencescited by 123
  5. 2019Human-Centered Tools for Coping with Imperfect Algorithms during Medical Decision-Makingcited by 109
  6. 2020Human-centered Explainable AI: Towards a Reflective Sociotechnical Approachcited by 90
  7. 2019Digital Twin: Values, Challenges and Enablerscited by 81
  8. 2023Explainable AI is Dead, Long Live Explainable AI! Hypothesis-driven decision supportcited by 65
  9. 2021The future of human-AI collaboration: a taxonomy of design knowledge for hybrid intelligence systemscited by 39
  10. 2021Transitioning to human interaction with AI systems: New challenges and opportunities for HCI professionals to enable human-centered AIcited by 38
  11. 2020Leveraging Rationales to Improve Human Task Performancecited by 20
  12. 2023Abductive Reasoning with the GPT-4 Language Model: Case studies from criminal investigation, medical practice, scientific researchcited by 6

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