Intro
Preface
Organization
Contents
Part I
Contents
Part II
AI and Machine Learning
Understanding the Evolution of the Concept of Artificial Intelligence in Different Publication Venues
1 Introduction
2 Methodology
2.1 Data Set
2.2 Method
3 Results and Discussion
3.1 Co-occurrence Network of Noun Phrase of AI in Different Stages
3.2 The Concept of AI Changes over Time
4 Conclusion
References
Understanding Team Collaboration in Artificial Intelligence from the Perspective of Geographic Distance
1 Introduction
2 Methodology

2.1 Data and Processing
2.2 Measuring Geographic Distance
3 Results
3.1 Overview of Team Collaboration in AI
3.2 Geographic Distance Analysis
4 Conclusion
References
Something New Versus Tried and True: Ensuring 'Innovative' AI is 'Good' AI
1 Introduction
2 Methods
3 Findings
3.1 Innovation Versus Reliability
3.2 Innovation Versus Security
3.3 Innovation Versus Regulation
4 Discussion
5 Conclusion
References
Insights from People's Experiences with AI: Privacy Management Processes
1 Introduction
2 Methods
2.1 Recruitment
2.2 Sample

2.3 Interview Protocol
2.4 Analysis
3 Results
4 Discussion
5 Conclusion
References
People's Perceptions of AI Utilization in the Context of COVID-19
1 Introduction
2 Methods
3 Results
3.1 Positive Thoughts and Opinions
3.2 Negative Thoughts and Opinions
4 Discussion
5 Limitations and Future Work
6 Conclusion
References
Characterizing Dementia Caregivers' Information Exchange on Social Media: Exploring an Expert-Machine Co-development Process
1 Introduction
2 Literature Review
2.1 ADRD Caregivers' Online Information Exchange

2.2 Active Learning and Interactive Learning
3 Expert Analysis of ADRD Caregivers' Information Exchange
3.1 Reddit Dataset
3.2 Process
4 Automatic Exploration (AE) of ADRD Caregivers' Information Behaviors
4.1 Objective
4.2 The AE Component Design
4.3 The Experiment on Improving AE Performance
4.4 Usability Experiment with Human Experts
5 Discussion
5.1 Classification Models' Gains from the EMC Process
5.2 Human Experts' Gains from the EMC Process
5.3 Limitations and Future Directions
6 Conclusions
A Appendix
A.1 Importance Score calculation

A.2 Abbreviations
References
Bimodal Music Subject Classification via Context-Dependent Language Models
1 Introduction
2 Related Work
3 The Proposed Method
3.1 Dataset
3.2 Classification Setup
4 Experimental Results and Discussion
5 Conclusion and Future Work
References
Spatio-Temporal Deepfake Detection with Deep Neural Networks
1 Introduction
2 Means and Methods of Processing Human Images
2.1 Manipulation of Human Face Images
2.2 Deepfake Detection Capabilities
2.3 Databases of Fake and Real Content
2.4 Existing Methods
3 Proposed Method