AI Business Ethics Course Syllabus

Overview: This course provides a comprehensive introduction to AI business ethics, designed for beginners interested in understanding the ethical implications of AI in organizational settings. The curriculum spans approximately 15-20 hours of content, combining conceptual learning with practical applications through case studies, labs, and project work. Learners will explore key ethical challenges such as bias, privacy, transparency, and compliance, with a focus on real-world business contexts. No technical background is required, making it accessible to professionals across functions.

Module 1: Foundations of Computing & Algorithms

Estimated time: 2 hours

• Review of tools and frameworks commonly used in practice
• Introduction to ethical decision-making in computing
• Interactive lab: Building practical solutions with ethical considerations
• Hands-on exercises applying foundations of computing & algorithms techniques

Module 2: Neural Networks & Deep Learning

Estimated time: 3 hours

• Understanding ethical implications of neural network models
• Hands-on exercises applying neural networks & deep learning techniques
• Guided project work with instructor feedback
• Assessment: Quiz and peer-reviewed assignment

Module 3: AI System Design & Architecture

Estimated time: 3-4 hours

• Introduction to key concepts in AI system design & architecture
• Case study analysis with real-world examples
• Review of tools and frameworks commonly used in practice
• Guided project work with instructor feedback

Module 4: Natural Language Processing

Estimated time: 1-2 hours

• Introduction to key concepts in natural language processing
• Hands-on exercises applying natural language processing techniques
• Interactive lab: Building practical solutions
• Case study analysis with real-world examples

Module 5: Computer Vision & Pattern Recognition

Estimated time: 4 hours

• Hands-on exercises applying computer vision & pattern recognition techniques
• Review of tools and frameworks commonly used in practice
• Assessment: Quiz and peer-reviewed assignment
• Ethical considerations in visual data processing

Module 6: Deployment & Production Systems

Estimated time: 2-3 hours

• Introduction to key concepts in deployment & production systems
• Hands-on exercises applying deployment & production systems techniques
• Guided project work with instructor feedback
• Assessment: Quiz and peer-reviewed assignment

Prerequisites

• Familiarity with basic business concepts
• No prior technical experience required
• Interest in AI and ethical decision-making

What You'll Be Able to Do After

• Identify ethical risks in AI systems within business environments
• Apply principles of fairness, accountability, and transparency in AI projects
• Analyze real-world case studies involving AI bias, privacy, and compliance
• Communicate effectively with technical teams about ethical AI design
• Support responsible AI adoption and governance in organizations