
Emotional Intelligence in AI-Augmented Work Environments
Balance human empathy with AI efficiency in team dynamics.
Pillar
People – Mindset, Leadership & Change
Overview
This course helps professionals develop emotional intelligence (EI) skills essential for thriving alongside AI technologies in the workplace. It focuses on maintaining empathy, effective communication, and relationship-building while leveraging AI to enhance productivity and decision-making within teams.
Learning Objectives
Participants will be able to:
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Understand the role of emotional intelligence in AI-augmented environments
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Balance human empathy with AI-driven insights and automation
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Improve interpersonal communication and conflict resolution skills
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Foster collaboration between human and AI team members
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Cultivate self-awareness and adaptability in fast-changing workplaces
Target Audience
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Team leaders and managers
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HR and people development professionals
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Employees working alongside AI tools
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Anyone interested in enhancing EI in AI-integrated work settings
Duration
20 hours over 4 days (5 hours per day)
Delivery Format
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Interactive workshops and EI assessments
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Role-playing and scenario-based learning
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Group discussions and AI tool demonstrations
Materials Provided
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Emotional Intelligence Self-Assessment Toolkit
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Communication and Empathy Guide for AI Workplaces
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Case studies on human-AI collaboration
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Certificate of completion
Outcomes
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Strengthen emotional intelligence to complement AI efficiency
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Enhance team cohesion and trust in AI-supported workflows
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Manage change and uncertainty with emotional resilience
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Lead empathetically in AI-augmented roles
Outline / Content
Day 1: Foundations of Emotional Intelligence in the AI Era
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Overview of EI and its workplace importance
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How AI changes team dynamics and communication
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Self-awareness and emotional regulation
Day 2: Empathy and Communication with AI Tools
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Active listening and empathy in hybrid teams
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Using AI to support, not replace, human connection
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Conflict resolution strategies integrating AI insights
Day 3: Building Collaborative Human-AI Teams
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Understanding AI strengths and limitations
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Creating inclusive environments for humans and AI agents
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Trust-building practices for AI-augmented workflows
Day 4: Developing Resilience and Adaptability
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Managing stress and change alongside AI evolution
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Leading with empathy during digital transformation
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Final workshop: Crafting your EI action plan for AI environments
