Complex behavioral design and possible AI-driven applications
This lecture will present an introduction to the framework of behavioral diagnosis to be used in applying behavioral economics to drive individual and population behavior in business, policy, and organizations. We will discuss current practice in behavior diagnosis. We will define the key variables of behavior change, key behaviors, the most common heuristics such as availability, scarcity and affect heuristics, cognitive biases, such as confirmation bias, anchoring bias, framing bias, and status quo bias. We will use examples to identify barriers which add friction to the desired behavior and benefits which will increase the subject’s desire to complete the new behavior. We will introduce three different ways to prompt behavior.
We will then discuss the present state of research in applied behavior science. How advanced framework for behavioral diagnosis can be used in driving complex behavior change in product development and management, policy development and organizations, particularly in the areas of environmental behaviors, health behaviors, finance behaviors and public policy interventions.
Fluency in English is required!