Schedule

Topics Covered:

• What is AI: Agents, perceptions, actions, and environment
• AI Timeline: From 1900s to 2025+ (AI winters, transformers, LLMs, AGI)
• Example AI Models:
  • Natural Language Processing (LLM): Transformer, code generation
  • Computer Vision: CLIP, image captioning, medical segmentation
  • Robotics: Vision-Language-Action models (RT-2)
• AI Responsibility Challenges:
  • Explainability: Understanding model decisions (from linear models to LLMs), Chain-of-Thought limitations, mechanistic interpretability
  • Uncertainty: Aleatoric vs. epistemic uncertainty, impact on LLM performance, robotics navigation, self-driving vehicles
  • AI Harms: Safety (hallucination, jailbreaking, prompt injection, data poisoning), privacy (data leakage, memorization), fairness

Topics Covered:

• Transformer Architecture: Positional embedding, Multi-head attention, Feed-forward layers, Residual connections, Layer normalization
• Vision Transformer (ViT): Applying transformers to images, patch embedding, scaling laws
• ViT Variants: MAE (self-supervised pre-training), Swin Transformer (multi-scale patches), DeiT (distillation)
• CLIP: Contrastive language-image pre-training, zero-shot classification
• SAM: Segment Anything Model, promptable segmentation
• LLaVA: Visual instruction tuning, multi-modal reasoning
• Responsibility Issues: Uncertainty estimation, out-of-distribution detection, fairness, hallucination

Topics Covered:

• Local vs. Global Explanations
• LIME (Local Interpretable Model-agnostic Explanations)
• Shapley Values & SHAP
• Properties of SHAP

Topics Covered:

• Gradient-based explanations
• Perturbation & counterfactual explanations
• Chain-of-Thought, Tree / Graph of Thoughts, and adaptive reasoning

Topics Covered:

• Adversarial Examples
• Attack Methods
• Defensive Strategies

Topics Covered:

• Backdoor Attack Mechanism
• Attack vs. Adversarial Examples
• Poisoning Strategies

Topics Covered:

• Data Leakage Risks
• Membership Inference Attacks
• Reconstruction Attacks

Topics Covered:

• Environmental impact of AI
• Social and economic implications
• Sustainable AI practices

Topics Covered:

• AI Regulation Frameworks
• Risk Categorization
• Intellectual Property

Topics Covered:

• From Mean to Distribution
• Aleatoric vs. Epistemic Uncertainty

Topics Covered:

• From LLM to Agent
• Agentic Architectures
• Multi-Agent Systems

Topics Covered:

• From LLM to Agent
• Agentic Architectures
• Multi-Agent Systems