💡 Week 4: Intro to AI Ethics Welcome to the Week 4 of the ML Study Jam series! 🌟 This week, we’ll focus on AI Ethics, exploring the critical considerations required to design AI systems that minimize harm, ensure fairness, and serve humanity responsibly.
6 RSVP'd
📅 Date: 2 March
⏰ Time: 4PM
🌐 Location: Virtual
✔️ An introduction to the importance of AI Ethics
✔️ A roadmap for completing Kaggle’s AI Ethics course
✔️ Guidance on applying ethical principles to AI systems in practice
After the session, participants will proceed with self-paced study to dive deeper into these concepts and complete the course exercises independently.
1️⃣ Completion of Week 3’s Intro to Deep Learning 📚
2️⃣ A Kaggle account ✅
3️⃣ Access to a browser (Google Chrome preferred) 🌐
4️⃣ A commitment to understanding the broader impact of AI systems on society 🌍
This session and self-paced study will prepare participants to engage in thoughtful, ethical conversations about AI and its impact, equipping them with the tools to build more responsible AI systems.
This program unfolds across multiple weeks, offering foundational insights and advanced explorations into machine learning and generative AI.
ML Study Jam Weekly Plan:
1️⃣ Week 1: Intro to Machine Learning
2️⃣ Week 2: Intermediate Machine Learning
3️⃣ Week 3: Intro to Deep Learning
4️⃣ Week 4: Intro to AI Ethics
5️⃣ Week 5: Foundational Models & Prompt Engineering
6️⃣ Week 6: Embeddings and Vector Stores/Databases
7️⃣ Week 7: Generative AI Agents
8️⃣ Week 8: Domain-Specific LLMs
9️⃣ Week 9: MLOps for Generative AI
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