HOW EMOTIONAL INTELLIGENCE IS ESSENTIAL TO MANAGE ARTIFICIAL INTELLIGENCE
- Sourish Choudhury, Director RAGMHI
In today's rapidly evolving technological landscape, Artificial intelligence (AI) is transforming industries, revolutionizing workflows, and redefining the nature of human work. While AI excels in processing massive amounts of data, performing repetitive tasks, and making predictive analyses, it lacks one crucial human element: emotion. This is where Emotional Intelligence (EI) steps in - not just as a human strength, but as a critical competency to guide, manage, and ethically integrate AI into our lives and workspaces.
Why EI Matters in the Age of AI
1. Making Ethical Decisions with Empathy
AI can follow rules and optimize outcomes, but it cannot weigh moral dilemmas or empathize with human suffering. For example, in sectors like healthcare, law enforcement, or finance, deploying AI without empathetic oversight can lead to biased or harmful decisions. Emotional intelligence enables professionals to ensure that AI applications remain aligned with human values, ethics, and fairness.
Example: An emotionally intelligent HR manager would question an AI hiring tool that appears to disadvantage certain groups, even if the data suggests it's more "efficient."
2. Leading in an AI-Powered Workplace
EI is vital for leaders navigating AI disruptions. They must manage uncertainty, maintain morale, and communicate vision clearly. Emotionally intelligent leaders inspire confidence, foster collaboration, and nurture resilience in their teams-qualities that are irreplaceable by code or algorithms.
EI-focused leadership behavior: Instead of just announcing new AI software adoption, a leader listens to team concerns, offers support during retraining, and celebrates small wins to keep motivation high.
The Rise of “Emotionally Intelligent AI”
There is also growing interest in making AI systems emotionally aware, especially in customer service, mental health support, and education. But ironically, building such AI still depends on humans with high EI. Why?
Because emotional intelligence is not just data—it’s deeply contextual, cultural, and intuitive. Designing emotionally responsive AI systems requires input from professionals who can interpret complex emotional cues and guide ethical programming.
Education and Workforce Implications
The integration of EI training in schools, universities, and workplaces is more urgent than ever. As technical skills become easier to automate, human-centric skills like empathy, communication, and emotional regulation will be the real differentiators. According to the World Economic Forum, emotional intelligence is one of the top 10 skills needed for the future of work. Encouragingly, EI can be learned, practiced, and strengthened over time-making it a key investment area for both individuals and organizations.
Conclusion: Keeping Humanity at the Center of AI
AI may reshape how we work and live, but it cannot replace the emotional wisdom that defines our humanity. As we move forward in this digital age, emotional intelligence is not just “nice to have”- it’s essential.
EI ensures that we don’t just build smart machines, but that we remain wise stewards of how they are used. It empowers us to make ethical choices, lead with compassion, collaborate effectively, and ensure technology serves humanity—not the other way around.
In short, EI is how we make AI truly human-centered.