Nathan J. McNeese

Exploring the Relationship Between Ethics and Trust in Human–Artificial Intelligence Teaming: A Mixed Methods Approach

2022 · 52 Zit. · Journal of Cognitive Engineering and Decision Making

Modeling and Guiding the Creation of Ethical Human-AI Teams

2021 · 38 Zit.

Special Issue on Human-AI Teaming and Special Issue on AI in Healthcare

2022 · 17 Zit. · Journal of Cognitive Engineering and Decision Making

The complex relationship of AI ethics and trust in human–AI teaming: insights from advanced real-world subject matter experts

2023 · 9 Zit. · AI and Ethics

LLM-based Smart Reply (LSR): Enhancing Collaborative Performance with ChatGPT-mediated Smart Reply System

2023 · 8 Zit. · arXiv (Cornell University)

The Effect of AI Teammate Ethicality on Trust Outcomes and Individual Performance in Human-AI Teams

2023 · 6 Zit. · Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences

Designing High-Impact Experiments for Human–Autonomy / AI Teaming

2025 · 4 Zit. · Journal of Cognitive Engineering and Decision Making

Exploring Trust, Acceptance, and Behavioral Differences When Humans Collaborate with Large Language Models as Tools and Teammates

2025 · 1 Zit. · ACM Transactions on Interactive Intelligent Systems

Balancing the Scales of Explainable and Transparent AI Agents within Human-Agent Teams

2023 · 0 Zit. · Proceedings of the Human Factors and Ergonomics Society Annual Meeting

Ethical adaptation: exploring the use of adaptive autonomy in the design of ethical AI teammates in healthcare

2025 · 0 Zit. · AI and Ethics

Preparing for Tomorrow's Teamwork: Insights From eSports on How Human Expertise Shapes Training Needs for AI‐Integrated Work

2025 · 0 Zit. · Journal of Organizational Behavior