XAI—Explainable artificial intelligence
Bibliographic Data
| ID | 23337783 |
|---|---|
| Authors | David Gunning (0000-0001-5435-796X, Defense Advanced Research Projects Agency, corresponding author), Mark Stefik (0000-0003-3134-6031, Palo Alto Research Center), Jaesik Choi (0000-0002-4663-3263, Korea Advanced Institute of Science and Technology), T Miller (0000-0003-4908-6063, The University of Melbourne), Simone Stumpf (0000-0001-6482-1973, City, University of London), Guang-Zhong Yang (0000-0003-4060-4020, Shanghai Jiao Tong University, corresponding author) |
| Year | 2019 |
| Volume | 4 |
| Issue | 37 |
| Publication date | 2019-12-18 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Science Robotics (JOURNAL) |
| Journal identifiers | ISSN: 2470-9476 • E-ISSN: 2470-9476 |
| Publisher | American Association for the Advancement of Science (AAAS) (PUBLISHER) |
| DOI | 10.1126/scirobotics.aay7120 |
| PMID | 33137719 |
| OpenAlex | W2995523160 |
| Language | EN |
| Citations received | 93 |
| References cited | 7 |
Explainability is essential for users to effectively understand, trust, and manage powerful artificial intelligence applications.
Artificial Intelligence System · Data science · Artificial Intelligence · Computer Science · Explainable Artificial Intelligence (XAI · Machine Learning in Healthcare · Scientific Computing and Data Management
The missing link for AI at work
Leveraging ChatGPT to optimize depression intervention through explainable deep learning
Datafizierung (in) der Bildung
What is AI Literacy? Competencies and Design Considerations
Thinking responsibly about responsible AI and ‘the dark side’ of AI
Taxonomy of Risks posed by Language Models
Managing Artificial Intelligence
Beyond semantic distance
Using cognitive psychology to understand GPT-3
Shared Minds
Artificial intelligence and the public arena
Visual Diagnostics of Dental Caries through Deep Learning of Non-Standardised Photographs Using a Hybrid Yolo Ensemble and Transfer Learning Model
Knowledge Gaps and Explanation Design in AI Advice
Explaining AI-Generated News
Designing algorithms to manage deep uncertainty in infrastructure projects
Path To Gain Functional Transparency In Artificial Intelligence With Meaningful Explainability
Reflexivity and positionality statements
Leverage zones in Responsible AI
Communicating Missing Causal Information to Explain a Robot’s Past Behavior
Prompt the problem – investigating the mathematics educational quality of AI-supported problem solving by comparing prompt techniques
Explainable Cyberbullying Detection in Hinglish
Cna-TCC
Crixp
An Explainable AI Approach for the Rapid Diagnosis of Covid-19 Using Ensemble Learning Algorithms
The Effects of Explainability and User Control on Algorithmic Transparency
The possibilities and limits of explicable artificial intelligence (XAI) in education
Modeling Dynamics of Community Resilience to Extreme Events with Explainable Deep Learning
Why converging technologies need converging international regulation
Explainable AI in the military domain
From critical technical practice to reflexive data science
Interdisciplinary Confusion and Resolution in the Context of Moral Machines
Who needs explanation and when? Juggling explainable AI and user epistemic uncertainty
F-RecX
User judgment of an AI model is biased by its description
When more is less
The effects of explainability and causability on perception, trust, and acceptance
Using a Chatbot to learn English via Charades
Artificial intelligence in financial institutions
The Virtues of Interpretable Medical Artificial Intelligence
Philosophical Foundations of Sciences and Prospects of Multivalued Logic in Describing Thinking
Does transparency matter when an AI system meets performance expectations? An experiment with an online dating site
Simulating large-scale urban land-use patterns and dynamics using the U-Net deep learning architecture
Flawed Like Us and the Starry Moral Law
Venturing ChatGPT's lens to explore human values in software artifacts
Investigating the Impact of Design Thinking, Content Strategy, and Artificial Intelligence
On the Opacity of Deep Neural Networks
Opening the black box
To trust or not to trust? An assessment of trust in AI-based systems
Exploring the impact of responsible AI governance on corporate performance
Can AI make scientific discoveries
Cyber-governance of the natural world the implications of digital twins in environmental governance
Enabling Artificial Intelligence Adoption through Assurance
Why Does Explainability Matter in News Analytic Systems? Proposing Explainable Analytic Journalism
The perception of humanness in conversational journalism
Artificial intelligence in medicine
Combining uncertainty information with AI recommendations supports calibration with domain knowledge
Social media insights into spatio-temporal emotional responses to Covid-19 crisis
Managing the tension between opposing effects of explainability of artificial intelligence
Lost in Transduction
Dynamics of Reliance on Algorithmic Advice
Explainable AI for government
What type of algorithm is perceived as fairer and more acceptable? A comparative analysis of rule-driven versus data-driven algorithmic decision-making in public affairs
Explaining machine learning practice
Explainable AI and trust
The representation problem in AI ethics
Intentionality gap and preter-intentionality in generative artificial intelligence
Shaping the future of education
Educational pathways for enhancing algorithmic transparency
The democratic ethics of artificially intelligent polling
Cognitive architectures for artificial intelligence ethics
Externalist XAI
Unveiling the multifaceted concept of cognitive security
Beyond purchase patterns
AI, Radical Ignorance, and the Institutional Approach to Consent
When Doctors and AI Interact
Criminal Justice and Artificial Intelligence
AI as Guardians of the Commons
Neuroadaptive Technology and the Self
Potencialidades e desafios do uso da Inteligência artificial no manejo das dores crônicas
Potencialidades y desafíos del uso de la inteligencia artificial en el manejo del dolor crónico
Potentialities and challenges of using artificial intelligence in chronic pain management
Explanatory AI Predicts the Diet Adopted Based on Nutritional and Lifestyle Habits in the Spanish Population
Trade-offs in AI assistant choice
Explainable AI for all - A roadmap for inclusive XAI for people with cognitive disabilities
Deep Learning Opacity in Scientific Discovery
Explanation strategies in humans versus current explainable artificial intelligence
Disciplining Deliberation
Les quatre éthiques de l'intelligence artificielle
Ground truth tracings (GTT)
Identifying discernible indications of psychological well-being using ML
Bad machines corrupt good morals
GeoShapley
A Inteligência Artificial e os desafios da Ciência Forense Digital no século XXI
| Unique citing works | 93 |
|---|---|
| Citations per year | 15.5 |
| Citation span | 2020 - 2026 (7) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 91 |