Explainable ai is dead, long live explainable ai! hypothesis-driven decision support using evaluative ai

T Miller - Proceedings of the 2023 ACM conference on fairness …, 2023 - dl.acm.org
In this paper, we argue for a paradigm shift from the current model of explainable artificial
intelligence (XAI), which may be counter-productive to better human decision making. In …

Approaches and challenges for a sustainable low-carbon mushroom industry

SS Patel, A Bains, K Sridhar, R Kaushik… - … and Sustainable Energy …, 2025 - Elsevier
Sustainable agriculture holds a key role in attaining a balanced approach to increase
productivity, especially for growing industries like mushroom production. Producers like …

What is critical for human-centered AI at work?–Toward an interdisciplinary theory

A Mazarakis, C Bernhard-Skala, M Braun… - Frontiers in Artificial …, 2023 - frontiersin.org
Human-centered artificial intelligence (HCAI) has gained momentum in the scientific
discourse but still lacks clarity. In particular, disciplinary differences regarding the scope of …

Interpretability is in the eye of the beholder: Human versus artificial classification of image segments generated by humans versus XAI

R Müller, M Thoß, J Ullrich, S Seitz… - International Journal of …, 2024 - Taylor & Francis
The evaluation of explainable artificial intelligence is challenging, because automated and
human-centred metrics of explanation quality may diverge. To clarify their relationship, we …

First impressions of a financial AI assistant: differences between high trust and low trust users

S Schreibelmayr, L Moradbakhti… - Frontiers in Artificial …, 2023 - frontiersin.org
Calibrating appropriate trust of non-expert users in artificial intelligence (AI) systems is a
challenging yet crucial task. To align subjective levels of trust with the objective …

Transitioning to Human‐Centered AI: A Systematic Review of Theories, Scenarios, and Hypotheses in Human‐AI Interactions

D Wang, K Zheng, C Li, J Guo - Proceedings of the Association …, 2024 - Wiley Online Library
This study conducted a systematic review of human‐AI interaction (HAI) over the past
decade for the implemented theories and scenarios, and the tested hypotheses to discover …

What are the differences between student and ChatGPT-generated pseudocode? Detecting AI-generated pseudocode in high school programming using explainable …

Z Liu, W Xing, X Jiao, C Li, W Zhu - Education and Information …, 2025 - Springer
The ability of large language models (LLMs) to generate code has raised concerns in
computer science education, as students may use tools like ChatGPT for programming …

The Impact of Imperfect XAI on Human-AI Decision-Making

K Morrison, P Spitzer, V Turri, M Feng, N Kühl… - Proceedings of the …, 2024 - dl.acm.org
Explainability techniques are rapidly being developed to improve human-AI decision-
making across various cooperative work settings. Consequently, previous research has …

How Much Wearable Data is Enough for the Utility and Trust of Augmented Artificial Intelligence Systems? A Scenario-Based Interview with Medical Professionals

Y Abdelaal, M Aupetit, A Baggag, M Bashir… - … Journal of Human …, 2024 - Taylor & Francis
The paper explores the synergy between wearable data and augmented Artificial
Intelligence (AI) through findings from two interconnected studies. The first study (study 1) …

User Preferences on a Generative AI User Interface Through a Choice Experiment

J Yeon, Y Jung, Y Baek, D Lee, J Shin… - International Journal of …, 2024 - Taylor & Francis
Since the launch of ChatGPT in November 2022, the number of services providing
generative AI has been steadily increasing. As different services enter the market, the …