AI for Social Good Using Artificial Intelligence to Save the World
| Autor principal: | |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Newark :
John Wiley & Sons, Incorporated
2024.
|
| Edición: | 1st ed |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009811331306719 |
Tabla de Contenidos:
- Cover
- Title Page
- Copyright Page
- Contents
- Acknowledgments
- About the Author
- Introduction
- Chapter 1 A Brief History of Artificial Intelligence
- How Innovators Throughout History Paved the Way for Modern AI: From Babbage to Turing
- Charles Babbage
- Ada Lovelace
- John von Neumann
- Alan Turing
- The Emergence of Modern AI
- The Dartmouth Conference: A Turning Point
- From Optimism to Pessimism: The Story of the AI Winter
- The Rise of Expert Systems
- AI Revival: A Fitful Resurgence
- The Birth of Modern AI
- AI Today
- Driver of the 21st Century Economy
- Final Thoughts
- References
- Chapter 2 AI Explained: A Non-Technical Guide
- Definition of AI
- Machine Learning
- How Machines Learn
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
- Neural Networks
- Structure of a Neuron
- Layers in a Neural Network
- Training a Neural Network
- Backpropagation: Learning from Mistakes
- Beyond Backpropagation
- Common Deep Learning Models
- Convolutional Neural Networks (CNN)
- Recurrent Neural Networks (RNN)
- Transformers
- Foundational Models
- Handle with Caution
- Vision and Sound
- Explainable AI
- Final Thoughts
- References
- Chapter 3 AI for Good
- Responding to Natural Disasters
- Floods
- SEEDS
- Earthquake in Syria and Turkey
- Role of AI in Disaster Resiliency
- Data for Environment Monitoring
- Food and Water Security
- Emerging Uses of AI to Combat Food and Water Insecurity
- Medicine
- Medical Imaging
- Pathology
- Education
- Final Thoughts
- References
- Chapter 4 AI for Good: Pursuit of Scientific Knowledge
- Biodiversity
- Beluga Whales
- Rainforests
- Satellites
- Bioacoustics
- Camera Traps
- Proteomics
- Astronomy
- Final Thoughts
- References
- Chapter 5 When Good AI Goes Bad
- The Surveillance Society.
- The Dual Nature of AI Drones: Saving Lives or Restricting Freedom?
- The Quandary of Facial Recognition
- Predictive Policing: Safeguarding Society or Violating Rights?
- Surveillance Capitalism
- Magnifying Societal Ills
- Deepfakes and Disinformation
- Image Deepfakes
- Automated Misinformation
- Checks on Disinformation
- Evolution of Cybercrime
- Amplifying Discrimination and Social Biases
- Gender Bias
- Racial Bias
- Economic Bias
- Final Thoughts
- References
- Chapter 6 Putting Safeguards Around AI
- The Need for Ethical Development
- Safety and Security
- Accountability and Transparency
- Data Protection and Privacy
- Balancing Innovation and Regulation
- Economic and Social Impact
- Teachers and Educators
- Healthcare Professionals
- Office Workers
- Manufacturers and Factory Workers
- Transportation
- Farmers
- Creative Professionals
- AI Governance
- Military Weapons
- Finance
- Final Thoughts
- References
- Chapter 7 Getting the Best Out of Your AI Team
- Roles in an AI Team
- A Three-Way Conversation
- The Project Manager
- The Domain Expert
- The AI Expert
- Setting Expectations About AI
- Case Study: Breast Cancer Example
- Project Scoping
- The Reality of Running AI: Cost, Connectivity, and Context
- Understanding the Role of Environmental Context in AI Deployment
- Technology Resources
- Data: Quantity and Quality, Annotations, Biases
- Type of Data: Format and Relevance
- Quality of Data
- Quantity of Data
- Real-World Examples
- Modeling
- Accuracy
- Accuracy: Balancing Precision and Sensitivity
- Human-in-the-loop
- Consequences for Wrong Outcomes Are More Severe
- Final Thoughts
- References
- Chapter 8 The Future
- New Technologies
- Quantum Computing
- DNA Storage
- AI Teams in the Near Future
- AI-Specific Jobs
- Societal Change
- Final Thoughts
- References.
- Index
- EULA.
