Emotional Intelligence in the Age of AI 2600-DSdz3EIAAIen
This timely and practical course moves beyond the hype and fear surrounding AI to provide a clear human advantage. Grounded in Daniel Goleman's seminal framework of Emotional Intelligence (EI), which includes Self-Awareness, Self-Management, Social Awareness, and Relationship Management, we explore how these core human competencies are not just complementary to AI but are the critical factors for ethical, effective, and fulfilling work in the 21st century.
You will not learn to code AI. Instead, you will learn to lead it, partner with it, and counterbalance it with uniquely human wisdom. This course is designed for professionals, leaders, and teams who want to future-proof their careers by deepening the very capabilities that machines cannot replicate.
Key Learning Objectives:
By the end of this course, participants will be able to:
Diagnose the EI Gap: Identify how over-reliance on AI-driven data and efficiency can erode key emotional and social skills within teams and organizations.
Strengthen the Human Core: Apply Goleman's four EI domains to enhance personal resilience, authentic leadership, and ethical decision-making in a high-tech environment.
Manage the Human-AI Relationship: Use self-awareness and self-management to navigate the emotional responses (frustration, over-dependence, anxiety) triggered by AI tools and workplace transformation.
Practice Augmented Empathy: Employ social awareness to read nuanced human emotions that AI sentiment analysis misses, and foster genuine connection in hybrid (human + AI agent) teams.
Lead with Relational Intelligence: Use relationship management skills to build trust, inspire collaboration, and guide teams through AI integration, ensuring technology serves human and organizational values.
Core Modules:
Module 1: The Human Algorithm: Self-Awareness in an AI World
Tuning into your inner signals vs. outsourcing self-assessment to data.
Recognizing your biases and emotional triggers in AI-mediated decisions.
Module 2: The Regulated Human: Self-Management Amidst Constant Change
Maintaining focus and calm when working with imperfect AI.
Channeling adaptive thinking and initiative in roles augmented by automation.
Module 3: The Empathetic Sensor: Social Awareness Beyond AI Analytics
Detecting unspoken concerns and cultural nuances that AI overlooks.
Practicing empathy and organizational awareness in digital-first communications.
Module 4: The Synergist: Relationship Management for Human-AI Teams
Influencing and inspiring teams where AI is a "team member."
Managing conflict and fostering collaboration in an AI-shaped workplace.
Becoming an advocate for ethical and human-centric AI implementation
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Term 2025L:
This timely and practical course moves beyond the hype and fear surrounding AI to provide a clear human advantage. Grounded in Daniel Goleman's seminal framework of Emotional Intelligence (EI), which includes Self-Awareness, Self-Management, Social Awareness, and Relationship Management, we explore how these core human competencies are not just complementary to AI but are the critical factors for ethical, effective, and fulfilling work in the 21st century. You will not learn to code AI. Instead, you will learn to lead it, partner with it, and counterbalance it with uniquely human wisdom. This course is designed for professionals, leaders, and teams who want to future-proof their careers by deepening the very capabilities that machines cannot replicate. Key Learning Objectives: Diagnose the EI Gap: Identify how over-reliance on AI-driven data and efficiency can erode key emotional and social skills within teams and organizations. Strengthen the Human Core: Apply Goleman's four EI domains to enhance personal resilience, authentic leadership, and ethical decision-making in a high-tech environment. Manage the Human-AI Relationship: Use self-awareness and self-management to navigate the emotional responses (frustration, over-dependence, anxiety) triggered by AI tools and workplace transformation. Practice Augmented Empathy: Employ social awareness to read nuanced human emotions that AI sentiment analysis misses, and foster genuine connection in hybrid (human + AI agent) teams. Lead with Relational Intelligence: Use relationship management skills to build trust, inspire collaboration, and guide teams through AI integration, ensuring technology serves human and organizational values. Core Modules: Module 1: The Human Algorithm: Self-Awareness in an AI World Module 2: The Regulated Human: Self-Management Amidst Constant Change Module 3: The Empathetic Sensor: Social Awareness Beyond AI Analytics Module 4: The Synergist: Relationship Management for Human-AI Teams |
Course coordinators
Type of course
Mode
Learning outcomes
KNOWLEDGE
K_W01 – identifies key theoretical and practical aspects of emotional intelligence in relation to leadership, collaboration, and managing the influence of artificial intelligence in the workplace.
K_W02 – knows the five core emotional intelligence skills (self-awareness, self-regulation, motivation, empathy, and social skills) and understands why each becomes a key human advantage in an AI-enhanced environment.
K_W03 – understands how self-regulation and self-awareness protect against over-reliance on AI, and how empathy and social skills foster bonds that AI cannot replicate.
SKILLS
K_U01 – can recognize and leverage their emotional intelligence abilities to maintain professional appropriateness and ethically integrate AI to achieve career success.
K_U02 – can effectively interpret and respond to human nonverbal signals that may be missed by AI sentiment analysis, ensuring authentic relationships in digital and hybrid teams.
K_U03 – can interpret and manage emotional reactions to AI-driven changes, frustrations with tools, and workplace transformation to maintain resilience.
K_U04 – can improve social and relational skills necessary for collaboration, trust-building, and conflict resolution in teams comprising both humans and AI agents.
K_U07 – can apply emotional intelligence concepts and techniques to design workflows, make decisions, and solve problems in work environments where AI is both a tool and a team member, ensuring technology enhances rather than diminishes human potential.
SOCIAL COMPETENCES
K_K01 – can influence teams and organizational culture to promote human-centered values and ethical standards in AI-related projects.
K_K02 – can connect emotional intelligence concepts with navigating human–AI partnerships, including managing biases, supporting adaptive capacities, and maintaining team morale.
Assessment criteria
Class Participation (30%)
Group Project (70%)
Group Project
Bibliography
Reference Book
Emotional Intelligence – New Perspectives and Applications, Edited by Annamaria Di Fabio ISBN 978-953-307-838-0. Published by InTech Janeza Trdine 9, 51000 Rijeka, Croatia
Reference Research Papers
Gill, A., & Mathur, A. (2024). Emotional Intelligence in the Age of AI: Enhancing Workforce Development for Human-Machine Collaboration. In Sustainable Innovation for Industry 6.0 (pp. 263-285). IGI Global.
Kaur, S., & Sharma, R. (2021, July). Emotion AI: integrating emotional intelligence with artificial intelligence in the digital workplace. In Innovations in Information and Communication Technologies (IICT-2020) Proceedings of International Conference on ICRIHE-2020, Delhi, India: IICT-2020 (pp. 337-343). Cham: Springer International Publishing.
Chatterjee, S. (2020). Emotional intelligence in the era of artificial intelligence. In ARTIFICIAL INTELLIGENCE IN EDUCATION (p. 267).
Bedell, R. E. (2020). Investigating the Relationship between Emotional Intelligence and Workplace Bullying and the Moderating Role of Gender (Doctoral dissertation, Keiser University).