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BMA: AI Strategy & Digital Transformation
Generative AI Ethics and Practice
Curriculum
1 Section
51 Lessons
30 hours
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Unit 2 — Generative AI Ethics and Practice
51
1.1
Exponential Progress in Computing
20 mins
1.2
Exponential Growth in Data
20 mins
1.3
Exponential Patterns in Research, Development, and Financial Allocations
20 mins
1.4
Requirements for Growth
20 mins
1.5
Intellectual Property and the Generative AI Platform
20 mins
1.6
Bias and Fairness in AI‐Generated Data
20 mins
1.7
Misinformation and Misuse of Generative AI
20 mins
1.8
Privacy, Safety, and Security
20 mins
1.9
Generative AI’s Impact on Jobs and Industry
20 mins
1.10
The Dependency on AI
20 mins
1.11
Environmental Concerns
20 mins
1.12
AI Oversight and Self‐Regulation
20 mins
1.13
On a Positive Note
20 mins
1.14
Notes
20 mins
1.15
What Is Next in Generative AI?
20 mins
1.16
Scaled Utilization of AI: Autonomous AI Agents
20 mins
1.17
Embodiment of AGI: (Humanoid) Robots
20 mins
1.18
The Human Potential Is Boundless; Optimism Helps
20 mins
1.19
Unveiling the BIG Secret to Working Successfully with GenAI
20 mins
1.20
Revealing the Secret Behind Successful Prompting
20 mins
1.21
Knowing Who’s at Fault for Mishaps, Misfortunes, and Law-Breaking
20 mins
1.22
Getting GenAI that Plays Nice with Other Technologies
20 mins
1.23
Getting a Visual Assist from GenAI
20 mins
1.24
Lying to the Model for Increased Productivity
20 mins
1.25
Developing White Papers and Reports Using Generative AI
20 mins
1.26
Balancing Expertise and Creativity in GenAI-Based Writing
20 mins
1.27
Enhancing Blogging
20 mins
1.28
Writing Prompts to Create Artistic Outputs
20 mins
1.29
Using GenAI to Check Character Traits and Actions
20 mins
1.30
Tailoring GenAI Models for Specialized Topics
20 mins
1.31
Finding Mini GPTs and GPT App Stores
20 mins
1.32
Giving GenAI Multiple Personalities for Better Perspective
20 mins
1.33
Applying Journalism Ethics to GenAI-Generated Content
20 mins
1.34
Implementing Quality Control through Human Oversight
20 mins
1.35
The Muse in the Machine: Finding Inspiration with AI Content Generators
20 mins
1.36
Structure Prompts Logically
20 mins
1.37
1.2 Computing Sharpe Ratio
20 mins
1.38
2.2 Summarizing a Trading Strategy Paper and Creating Backtest Codes from It
20 mins
1.39
3.2 Supervised Learning
20 mins
1.40
4.2 Difference with Discriminative Models
20 mins
1.41
5.2 Representation and Complexity Reduction
20 mins
1.42
6.2 Latent Variable Models
20 mins
1.43
7.2 Model Training
20 mins
1.44
8.2 Training
20 mins
1.45
9.2 Data: Video + Market Prices
20 mins
1.46
10.2 Scaling Large Language Models: High Performance, High Computational Cost, and Emergent Abilities
20 mins
1.47
11.2 Combining Generative Model Variants
20 mins
1.48
Understanding the Infamous Finger Problem and Other GenAI Quirks
20 mins
1.49
Crafting Effective Prompts for Diverse AI Applications
20 mins
1.50
Understanding Your Role in Responsible AI
20 mins
1.51
Keeping Up with the Pace of GenAI Advancements
20 mins
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