Human + AI: Collaboration, Human Judgment & Responsible Use

Human + AI: Collaborative Intelligence, Human Judgment & Responsible AI Use

This course focuses on managing risk, strengthening human judgment, and demonstrating mastery through execution. It brings together ethical considerations, future readiness, and practical application into a cohesive framework for responsible AI use.

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Course curriculum

1. Segment 00: Welcome Reading - Welcome to the Course: Course Overview
2. Segment 01: Intro Video to Course
3. Segment 02: Module Introduction
4. Segment 03: Ethical Risks in AI Systems
5. Segment 04: Impact of Bias on Decision Making
6. Segment 05: Designing Ethical AI Practices
1. Segment 06: Privacy Risks in AI Workflows
2. Segment 07: Applying Security Controls to AI Use
3. Segment 08: Compliance Considerations for AI Systems
1. Segment 09: Building Responsible AI Guidelines
2. Segment 10: Operationalizing Risk Management
3. Segment 11: Ensuring Accountability in AI Usage
4. Segment 12: Reading - Petar Radlineiev, Privacy, Ethics, Transparency, and Accountability in AI Systems for Wearable Devices
5. Segment 13: Hands-On-Learning: Assessing AI Risks and Controls
6. Segment 14: Quiz - Responsible AI and Risk Management
1. Segment 15: Module Introduction
2. Segment 16: Human Skills in the AI Era
3. Segment 17: Emotional Intelligence in AI Collaboration
4. Segment 18: Creativity and Judgment as Differentiators
1. Segment 19: Trends Shaping the Future of Work
2. Segment 20: Exploring Career Opportunities with AI
3. Segment 21: Preparing for Workforce Transformation
1. Segment 22: Designing a Personal Skill Strategy
2. Segment 23: Building Continuous Learning Plans
3. Segment 24: Adapting to Change in AI Environments
4. Segment 25: Reading - World Economic Forum – Future of Jobs Report
5. Segment 26: Hands-On-Learning: Designing a Personal AI Skill Strategy
6. Segment 27: Quiz - Human Advantage and Future Readiness
1. Segment 28: Module Introduction
2. Segment 29: Defining Scope and Objectives for AI Workflows
3. Segment 30: Selecting Tools and Metrics for Success
4. Segment 31: Aligning AI Workflows to Business Goals
1. Segment 32: Building AI Workflow Prototypes
2. Segment 33: Testing and Refining AI Outputs
3. Segment 34: Improving Workflow Efficiency and Accuracy
1. Segment 35: Structuring AI Workflow Presentations
2. Segment 36: Demonstrating Measurable Outcomes
3. Segment 37: Building a Professional AI Portfolio .mp4
4. Segment 38: Reading - From AI Hype to Workflow Reality: A Strategic Framework for Integrating Generative AI Across Organizational Functions
5. Segment 39: Hands-On-Learning: Building an AI Workflow Project
6. Segment 40: Quiz - Capstone – Designing and Delivering AI Workflows
7. Segment 41: Course Wrap-up
8. Segment 42: Project - Building and Presenting a Responsible AI Workflow

About this course

Free
43 lessons
3.5 hours of video content

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Human + AI: Collaborative Intelligence, Human Judgment & Responsible AI Use

Course curriculum

Chapter 1: Understanding Ethical Risks in AI

Chapter 2: Privacy, Security, and Compliance in AI

Chapter 3: Building Responsible AI Practices

Chapter 4: Human Skills That Matter in the AI Era

Chapter 5: Preparing for the Future of Work with AI

Chapter 6: Building a Future-Ready Skill Strategy

Chapter 7: Planning Your AI Collaboration Workflow

Chapter 8: Building and Testing Your Workflow

Chapter 9: Presenting Results and Building Your AI Portfolio

About this course

Discover your potential, starting today