AI Horizons : Shaping a Better Future Through Responsible Innovation and Human Collaboration.
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| Format: | eBook |
| Language: | English |
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Boston, Massachusetts
Mercury Learning and Information
2023
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| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Cover
- Half Title
- Title
- Copyright
- Dedication
- Contents
- Preface
- Introduction
- Chapter 1: Focusing On AI Ethics and Social Impact
- Introduction
- Privacy Concerns in AI
- Data Collection and Usage
- Data Protection and Security
- Consent and Control
- Regulatory Challenges
- Addressing These Concerns
- Solutions and Strategies
- Role of Various Stakeholders in AI Privacy
- Ethical Considerations in AI Development and Deployment
- Case Studies
- Future Outlook
- Fairness, Bias, and Accountability
- Introduction to Fairness
- Understanding Fairness in AI
- Techniques for Enhancing Transparency and Explainability
- Real-World Examples of Transparent and Explainable AI
- Future Prospects
- Digital Divide and Inclusivity
- Impact of the Digital Divide
- Role of AI in Bridging the Digital Divide
- Challenges in Promoting Inclusivity in AI
- Best Practices for Inclusive AI
- Case Studies
- Autonomy and Decision-Making
- Definitions and Difference
- Human-AI Interaction Models
- The Evolution of Decision-Making
- The Role of AI in Decision-Making
- Implementing AI in Organizational Structure
- Measuring Decision-Making Effectiveness
- Choosing the Right System
- Impact of AI/ML
- Challenges and Risks
- Ethical Considerations in AI Decision-Making
- Corporate Interests and AI Decision-Making
- Balancing Convenience and Autonomy
- Designing AI for Human Autonomy
- The Role of Humans in the AI Decision-Making Process
- Impact of AI on Human Agency
- AI and Decision-Making Skills
- AI, Autonomy, and Governance
- Legal and Regulatory Considerations
- Trust in AI Decision-Making
- Bias and Fairness
- Global Perspectives on AI and Autonomy
- Future Trends
- The Next Phase in Evolution
- Human-Centric AI
- Designing AI for Human Well-Being
- Ensuring AI Serves Human Needs
- AI and Emotional Intelligence
- Collaborative AI
- Explainable AI (XAI)
- Personalized AI Experiences
- Accessibility and Inclusivity in AI Design
- Human Oversight and Control
- Continuous Learning and Feedback Loops
- Societal Impact of AI
- Impact on Employment and Economic Inequality
- Effects on Social Interactions and Cultural Values
- Ethical Considerations in AI Development
- Ethical Responsibilities of AI Developers and Operators
- Ethical Guidelines and Frameworks for AI Development