Creating meaningful work in the age of AI: explainable AI, explainability, and why it matters to organizational designers

Humanizing work in the digital age: Lessons from socio-technical systems and quality of working life initiatives

(2022) David Guest et al.   HUMAN RELATIONS

Shedding Light on the Black Box: Explaining Deep Neural Network Prediction of Clinical Outcomes

(2021) Yijun Shao et al.   JOURNAL OF MEDICAL SYSTEMS

Is AI Ground Truth Really True? The Dangers of Training and Evaluating AI Tools Based on Experts’ Know-What

(2021) Sarah Lebovitz et al.   MIS QUARTERLY

Explainable artificial intelligence: a comprehensive review

(2021) Dang Minh et al.   ARTIFICIAL INTELLIGENCE REVIEW

Algorithms as work designers: How algorithmic management influences the design of jobs

(2021) Xavier Parent-Rocheleau et al.   HUMAN RESOURCE MANAGEMENT REVIEW

The strategic impacts of Intelligent Automation for knowledge and service work: An interdisciplinary review

(2020) Crispin Coombs et al.   JOURNAL OF STRATEGIC INFORMATION SYSTEMS

Explaining the black-box model: A survey of local interpretation methods for deep neural networks

(2020) Yu Liang et al.   NEUROCOMPUTING

Developing a unified definition of digital transformation

(2020) Cheng Gong et al.   TECHNOVATION

Artificial intelligence, Autonomy, and Human-Machine Teams — Interdependence, Context, and Explainable AI

(2019) William F. Lawless et al.   AI MAGAZINE

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

(2019) Alejandro Barredo Arrieta et al.   Information Fusion

A Survey of Methods for Explaining Black Box Models

(2018) Riccardo Guidotti et al.   ACM COMPUTING SURVEYS

Detection of Breast Cancer with Mammography: Effect of an Artificial Intelligence Support System

(2018) Alejandro Rodríguez-Ruiz et al.   RADIOLOGY

Explanation in artificial intelligence: Insights from the social sciences

(2018) Tim Miller   ARTIFICIAL INTELLIGENCE

Conscientious Classification: A Data Scientist's Guide to Discrimination-Aware Classification

(2017) Brian d'Alessandro et al.   Big Data

Can we open the black box of AI?

(2016) Davide Castelvecchi   NATURE

Machine learning: Trends, perspectives, and prospects

(2015) M. I. Jordan et al.   SCIENCE

Sub-systems on the road to vehicle automation: Hands and feet free but not ‘mind’ free driving

(2013) Victoria A. Banks et al.   SAFETY SCIENCE

Cybernetically sound organizational structures I: de Sitter's design theory

(2011) Dirk Vriens et al.   KYBERNETES

Cybernetically sound organizational structures II

(2011) Jan Achterbergh et al.   KYBERNETES