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Decision-making is a fundamental capability in everyday life.
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Thinking, fast and slow
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Dealing with the positive publication bias: Why you should really publish your negative results
Should i follow ai-based advice? measuring appropriate reliance in human-ai decision-making
M. Schemmer, P. Hemmer, N. Kühl, C. Benz, and G. Satzger · 2022
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Ai-assisted decision-making: a cognitive modeling approach to infer latent reliance strategies
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Explanations can reduce overreliance on AI systems during decision-making
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Integrating transparency, trust, and acceptance: The intelligent systems technology acceptance model (ISTAM)
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alphaXiv searches the wider corpus for related work and actual follow-ups.
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Unified Modeling Language – version 2.5.1
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Heuristic cues for meta-reasoning judgments: Review and methodology
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Chain-of-thought prompting elicits reasoning in large language models
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Taxonomy of risks posed by language models
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AI chains: Transparent and controllable human-AI interaction by chaining large language model prompts
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Artificial intelligence decision-making transparency and employees’ trust: The parallel multiple mediating effect of effectiveness and discomfort
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Skills-in-context prompting: Unlocking compositionality in large language models
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Understanding the role of human intuition on reliance in human-ai decision-making with explanations
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The emergence of economic rationality of GPT
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Investigating the impact of user trust on the adoption and use of ChatGPT: Survey analysis
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Chat-rec: Towards interactive and explainable llms-augmented recommender system
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Ideas are dimes a dozen: Large language models for idea generation in innovation
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Chatgpt is not all you need. a state of the art review of large generative ai models
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In Large Language Models: A Comprehensive Survey of its Applications, Challenges, Limitations, and Future Prospects
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Time-LLM: Time series forecasting by reprogramming large language models
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