<p><span>This book explores the subject of artificial psychology from the standpoint of how online Chatbots have infiltrated and affected societies and the world in general. The book explores the psychological effects of depending on an online entity for our needs â even if itâs a reminder of schedu
AI Chatbots: The Good, The Bad, and The Ugly (Synthesis Lectures on Engineering, Science, and Technology)
â Scribed by James Crowder
- Publisher
- Springer
- Year
- 2023
- Tongue
- English
- Leaves
- 162
- Edition
- 1st ed. 2024
- Category
- Library
No coin nor oath required. For personal study only.
⌠Synopsis
This book explores the subject of artificial psychology from the standpoint of how online Chatbots have infiltrated and affected societies and the world in general. The book explores the psychological effects of depending on an online entity for our needs â even if itâs a reminder of scheduled events. The author provides insight into the notion of human-Chatbot exchanges, understanding, and false emotions both from the Chatbot and from the human. He goes on to investigate and discuss the dangers of too much reliance on technology that learns from a variety of sources and how some sources can negatively influence Chatbots, and by doing so, negatively affect people. The book also discusses human-Chatbot interactions and the natural language interface(s) required to respond adequately to humans. Lastly, the author explores the notion of ethical considerations for people, based on their interactions with Chatbots, including information based on cultural differences between different regions of the world.
⌠Table of Contents
Foreword
Preface
Contents
1 Introduction
1.1 Human Fascination with Artificial Entities
1.2 ELIZA: The First Chatbot
1.3 Internet Protocols and the World Wide Web
1.4 Other Early Chatbots
1.4.1 Parry
1.4.2 A.L.I.C.E.
1.4.3 Digital Assistant Chatbots
1.5 Layout of the Book
1.5.1 Section IâThe Rise of the Chatbot
1.5.2 Section IIâChatbots: The Good
1.5.3 Section IIIâChatbots: The Bad
1.5.4 Section IVâChatbots: The Ugly
1.5.5 Section VâThe Future of Chatbots
References
Part I The Rise of the Chatbot
2 Background: What Is a Chatbot?
2.1 Different Notions of a Chatbot
References
3 Categories of Chatbots
3.1 Menu-Based Chatbots
3.2 Rule-Based Chatbots
3.3 Machine Learning-Based Chatbots
3.4 Voice-Based Chatbots
3.5 Cognition-Based Chatbots
3.6 Future Trends in Chatbots
References
4 Chatbots and the Need for Connectivity
4.1 Human Need and Acceptance of Chatbots
4.2 The Psychology of Human-Chatbot Communication
References
5 Chatbots: Do They Fill a Need in Society?
5.1 The Use of Chatbots in Businesses
5.2 The Use of Chatbots in Data Collection
References
Part II Chatbots: The Good
6 Chatbots Like Siri: Your Digital Assistant
6.1 Chatbots and Linguistic Accuracy
6.1.1 Linguistic Accuracy and NLP/NLU
References
7 Chatbots for Casual Interactions
7.1 The Psychology of Chatbot Relationships
7.2 The Need for Artificial Emotions in Personal Chatbots
7.2.1 Emotional Intelligence and the Artificial Limbic System
7.2.2 An Artificial Emotional Intelligence Test for Chatbots
7.2.3 Chatbot Sample Scenarios
7.3 Available Chatbots
References
8 Chatbots That Analyze Data and Provide Valuable Information
8.1 Standard Organizational Uses of Chatbots
8.2 Uses of Chatbots in the Media and Entertainment Industries
8.2.1 Product Branding
8.2.2 Product Discovery
8.3 Industry Perspective
References
Part III Chatbots: The Bad
9 Microsoftâs 2016 Chatbot: What Went Wrong?
9.1 Chatbot Tay: What Went Wrong?
9.2 Implicit Learning in Artificial Intelligent Systems
9.2.1 Implicit Learning Concepts
9.2.2 Implicit Learning in Artificial Intelligent Chatbots
9.2.3 Measuring Implicit Learning Within a Chatbot System
9.2.4 Measuring Implicit Learning Human-Chatbot Interfaces
9.3 Implications of Tay and Other Issues for the Future of Chatbots
References
10 Examples of Issues with Chatbots Over the Last Few Years
10.1 Sophisticated Chatbots, a Hackerâs Dream
10.2 Essay Generating Chatbots: AÂ University Nightmare
10.3 Accuracy and Reliability Issues with Chatbots
References
11 When is Human-AI Interaction Appropriate and When is It Not Appropriate?
11.1 Chatbot Entities for Foundational Counselor Training Sessions
11.1.1 Counselor Training Considerations
11.1.2 A Chatbot Version of a Human Prefrontal Cortex
11.1.3 An Artificial Prefrontal Cortex Architecture for CIPTS
11.1.4 Potential Counselor Training Using the CIPTS
11.1.5 Chatbot Avatar Profile Training Using the CIPTS
11.1.6 Testing Counselor Responses
11.1.7 CIPTS Discussion
11.2 Chatbots and the Arts
11.2.1 Chatbot Art/Image Generation
11.2.2 Chatbot Music Generation
11.2.3 Chatbot Poetry Generation
11.3 The Ugly Side of Chatbots
References
Part IV Chatbots: The Ugly
12 Inherent Bias in Chatbots: Is It Possible to Create and AI Entity Without Any Bias?
12.1 Using Artificial Intelligence to Detect Artificial Intelligence
12.2 Using Artificial Intelligence for Facial Identification
12.3 Unintended Bias in Chatbot Systems
12.4 Hidden Bias in Chatbots
12.5 Chatbots and Bad Actors
References
13 What Happens When a Chatbot Gives Detrimental Advice? Whoâs Responsible?
13.1 Chatbots, Free Speech, and the 1st Amendment
13.2 Chatbot Liabilities, Cyber Insurance, and Measuring Trust: Today and Tomorrow
13.2.1 Mathematical Modeling of Information Relationships
13.3 Chatbots and Emergent Behavior
13.4 Can We Rely on Companies that Create Chatbots to Act Responsibly?
13.4.1 Chinaâs Approach to AI/Chatbot Governance
13.4.2 USAâs Approach to AI/Chatbot Governance
13.4.3 Europeâs Approach to AI/Chatbot Governance
13.4.4 Department of Defenseâs Approach to AI/Chatbot Governance
13.5 Why Regulations Are Doomed to Fail
References
Part V The Future of Chatbots
14 What Does the Future of Chatbots Look Like?
14.1 The Rise and Fall of Human and Chatbot Creativity
14.1.1 The Use of Chatbots in Social Activism
14.1.2 The Use of Chatbots in Research
14.2 Measuring Trust and Human-Chatbot Communication
14.3 Calculating Trust: Mathematical Modeling of Relationships
14.4 The Toulmin Argument Structure: The Art of Developing Factual Trust
14.5 Steps for Building Qualitative Trust Within AI Systems/Chatbots
14.6 Steps for Building Ethical Behavior Within AI Systems/Chatbots
References
15 Can Future Chatbots Show Love and Compassion, and Should They?
15.1 The Rise of Artificial Emotions
15.2 The Basics of Artificial Emotions
15.3 The Artificial Prefrontal Cortex for Chatbot and Robot Systems
15.3.1 What Does Artificial Consciousness Mean?
15.3.2 The Artificial Prefrontal Cortex
15.3.3 The Artificial Prefrontal Cortex and Cognitive Control
15.3.4 The Artificial Prefrontal Cortex Framework
15.3.5 The Artificial Prefrontal Cortex Architecture
15.3.6 The Artificial Prefrontal Cortex Model
15.4 Putting It All Together
References
Index
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