Human and AI Collaborative Intelligence at Work

Course Overview
Collaborative Intelligence brings human thinking and artificial intelligence together to leverage the strengths of both to achieve better outcomes. In this insightful course, we will examine the principles of human and artificial intelligence collaboration and how to develop human and AI synergy. You will learn how to implement HCAI strategies in your workplace to solve problems, create efficiency, and enhance performance.
Learning Objectives
- Examine the fundamentals of Collaborative Intelligence.
- Develop a strategy for a human plus AI environment at work.
- Apply strategies for effective collaboration.
- Utilize the HCAI Model and collaborative feedback loops.
- Identify challenges and solutions for tomorrow’s HCAI.
Who It's For
- Business leaders and managers exploring how to integrate AI into workplace operations.
- Team leaders who want to improve collaboration between employees and AI tools.
- HR and learning and development (L&D) professionals preparing teams for AI-supported work environments.
- Business professionals interested in using AI to improve problem-solving, efficiency, and performance.
- IT professionals and digital transformation specialists involved in implementing human-centered AI solutions.
Course Agenda
Five modules · 23 topics1The Principles of HI-AI CollaborationTopics 1–4
2Creating Human-AI SynergyTopics 5–9
3Principles of Effective CollaborationTopics 10–13
4The Importance of Human-Centered AITopics 14–19
5Strategies, Solutions, and What’s UpcomingTopics 20–23
About our Trainers



Our Mission
Our facilitators are committed to delivering the latest industry trends, job-specific best practices, and the essential soft and hard skills needed in today’s workforce. PTR offers small and large organizations the choice between onsite and virtual training. Collaborate with our specialists to address challenges, bridge skill gaps, and tailor the learning experience to meet your company’s goals.
This course explores how human intelligence and artificial intelligence can work together to achieve better workplace outcomes. It focuses on developing effective human-AI collaboration strategies to improve problem-solving, efficiency, and performance. Collaborative Intelligence refers to combining the strengths of people and AI systems to solve problems, generate ideas, and achieve better results. It emphasizes cooperation between human thinking and AI capabilities. Human-AI synergy describes how people and AI systems complement each other during workplace tasks. The course explores different aspects of synergy, including interfacing, context, and workflow. Collaborative AI refers to using artificial intelligence as a partner or support system in completing tasks and solving problems. The course examines how people can work effectively with AI tools to improve workplace outcomes. Human-Centered AI focuses on designing and using AI systems in ways that keep human needs, judgment, and oversight central. The course explores HCAI principles and their application in workplace environments. The HCAI Model is a framework covered in the course for understanding and supporting human-centered AI collaboration. Participants explore how it relates to feedback loops, human involvement, and maintaining AI applications. Collaborative feedback loops allow people and AI systems to improve their interactions through ongoing input and evaluation. The course explores how feedback loops support effective collaboration and human-centered AI practices. Human-AI collaboration is expected to influence how teams solve problems, manage workflows, and complete tasks. The course explores emerging HCAI developments and the future of human-machine teams.Frequently Asked Questions
What is the Human and AI Collaborative Intelligence at Work course?
What is Collaborative Intelligence?
What is human-AI synergy?
What is Collaborative AI?
What is Human-Centered AI (HCAI)?
What is the HCAI Model?
What are collaborative feedback loops in human-AI systems?
How can human-AI collaboration shape the future of work?
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