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AI at WWF: A Learning Journey
Welcome to the course!
Course introduction
Starting Survey
Module 1: Foundational AI Literacy
1. Let's begin with history - AI, Tech & Productivity
2. AI Terminologies
3. What is Artificial Intelligence (AI) and Generative AI? (4:49)
4. AI Technologies behind GenAI
5. AI at WWF (10:29)
Module 2: Becoming Aware
1. Which image is AI-generated?
2. Answers: Which image is AI-generated?
3. Audio & Video Examples
Module 3: Understanding AI Risks
1. What is a risk? How does WWF define risk?
2. What is an AI risk? (5:27)
3. Security risks of AI
4. Privacy Risks
5. Social Risks of AI
6. AI Copyrights & IP risks
7. Environmental Risks of AI
Module 4: AI Ethics & Data protection
1. Introduction
2. Ethical AI
3. Key concepts
4. Techniques & Assessment
5. Data protection
6. Conclusion
Module 5: Productivity AI
1. Introduction to AI for Operational Efficiency
2. How are offices piloting AI for Efficiency? (6:23)
3. Introduction: AI for Fundraising & Donor Engagement
4. Experiment: AI for Fundraising & Donor Engagement
5. Case Studies: AI for Fundraising & Donor Engagement (7:57)
6. Introduction: AI for Communications
7. Experiment: AI for Communications
8. Case Studies: AI for Communications (10:37)
Module 6: Conservation Impact AI
1. How AI is shaping the world of conservation?
2. A step ahead: AI for unlocking Green Transformation (7:19)
3. Case Studies: AI in Conservation
Case Study 1: Seaweed Sentiment (8:11)
Case Study 2: Climate Adaptation Plans & ManglarAI (7:38)
Case Study 3: GhostNetZero (10:02)
Case Study 4: Illegal Wildlife Trade Hub efforts (14:00)
Case Study 5: Illegal Wildlife Trade & Social Media Monitoring (14:19)
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4. Privacy Risks
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