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Author: Daniel Goleman, Co-Director, Consortium for Research on Emotional Intelligence in Organizations, Rutgers, The State University of New Jersey
If you had a symptom of cancer, what kind of doctor would you look for?
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| Photo: Holger Link, Unsplash |
Would you look for a doctor with a high IQ who can diagnose your condition with great accuracy but has an arrogant and demeaning attitude; or a high EQ (emotionally intelligent) doctor who treats you with care and compassion but makes you feel less confident about the diagnosis?
Many people would probably choose the doctor with a high IQ regardless of their bedside manner but what if all doctors had an artificial intelligence (AI) driven diagnostic machine that can give a highly accurate diagnosis of patients? Many people would then likely choose doctors with a high EQ, doctors who would be empathetic to your situation, compassionately communicate with you and your family and treat you with warmth and care.
Yet, you would still want a wise doctor that does not blindly follow an AI-based diagnosis. You would hope that the doctor balances AI’s diagnostic capabilities with good critical reasoning and deep understanding of the strengths and limitations of AI. The doctor should be able to contextualize your circumstances and situation beyond what AI captures in its algorithms, such as your family situation and religious beliefs, demonstrating empathy in not only diagnosis and treatment, but also in how these services are delivered to you.
As such, individuals need to embrace a new form of human intelligence beyond IQ and EQ to be successful in the AI age – digital intelligence (DQ) – that enables individuals to effectively utilize technology for the benefits of themselves, others and society as a whole...
Ironically, this more than 2,000-year-old wisdom applies to the AI
age, not in religious and moral contexts so much as in the practical
competencies needed for daily life and work. It translates into
learnable and practical competencies of DQ, from online safety and AI
literacy to the job readiness that individuals need to be ready for life
and work in the AI age.
Let’s dissect the human decision-making process based on the following five steps:
1) gathering the data we have (information gathering and synthesis);
2) developing information that we do not have (prediction);
3) judging based on prediction (judgement);
4) making decisions based on judgement calls (decision);
and 5) acting based on the chosen decision (action).
In the AI age, machines effectively cover the first two steps: information gathering and synthesis, and prediction.
Source: The European Sting
