People with high EQs (emotional quotient) have distinct advantages. They learn other people’s patterns, know how to convey empathy, and carefully weigh responses to choose the best one based on how they anticipate someone will react. EQ helps leaders make better decisions and produce better outcomes.
So, can AI incorporate EQ into decision making, as people do?
“AI can be trained to do the same thing,” wrote Bob Suh in the Harvard Business Review. Suh is the founder of machine learning firm OnCorps and former chief technology strategist at Accenture. He also wrote that “the key to better outcomes is to boost AI’s emotional quotient—its EQ.” The way to do this is to mimic the way people behave in constructive relationships.
In this HBR Webinar, Suh discusses how to boost AI’s EQ in order to achieve better outcomes. Suh will describe promising techniques for creating higher-EQ AI including:
- Training AI to note pattern breaking and nudge behavior changes.
- Using AI to encourage self-awareness with benchmarks, such as deploying AI to increase awareness of sales forecast accuracy and to nudge more accurate forecasts.
- Using game theory to accept or challenge conclusions.
- Leveraging AI to choose the right time of day for making important decisions or taking certain actions.
In describing how to boost AI’s EQ for better decision making, Suh shares examples from companies such as Bank of America, a major mutual fund company, the US Department of Homeland Security, and more.
