Some critical and ethical perspectives on the empirical turn of AI interpretability

Embodying algorithms, enactive artificial intelligence and the extended cognition: You can see as much as you know about algorithm

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Artificial Intelligence (AI) Ethics

(2020) Keng Siau et al.   JOURNAL OF DATABASE MANAGEMENT

The Effects of Explainability and Causability on Perception, Trust, and Acceptance: Implications for Explainable AI

(2020) Full Professor Donghee Shin   INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES

From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles into Practices

(2019) Jessica Morley et al.   SCIENCE AND ENGINEERING ETHICS

Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

(2019) Alejandro Barredo Arrieta et al.   Information Fusion

Deep neural networks understand investors better

(2018) Nader Mahmoudi et al.   DECISION SUPPORT SYSTEMS

Peeking inside the black-box: A survey on Explainable Artificial Intelligence (XAI)

(2018) Amina Adadi et al.   IEEE Access

Explanation in artificial intelligence: Insights from the social sciences

(2018) Tim Miller   ARTIFICIAL INTELLIGENCE

Understanding customers' loyalty intentions towards online shopping: an integration of technology acceptance model and fairness theory

(2009) Chao-Min Chiu et al.   BEHAVIOUR & INFORMATION TECHNOLOGY