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The Behavioral Sciences In the Age of AI (I) AI世代的人類行為干預
Rating: 4.7 out of 5(6 ratings)
505 students

The Behavioral Sciences In the Age of AI (I) AI世代的人類行為干預

behavioral biases, nudge theory, 輕推理論
Created byYung-Hsiang Hu
Last updated 6/2023
English

What you'll learn

  • Understand what behavioral economics is
  • Understand the factors that influence human behavior.
  • Develop more effective intervention plans for your own predictions.
  • Learn how to create ethical intervention actions for your target audience.

Course content

3 sections • 16 lectures • 1h 52m total length

  • Why are people influenced by others?為什麼人類會受到重要他人的影響?6:57

    Explore how social proof and social norms shape decision making, including how visible others' actions, in-group influence, and positive framing guide behavior, with examples like friends' voting status.

  • Behavioral Science! Why is it important in the AI generation?為什麼行為科學在AI世代很重要6:07
  • Can small changes in people's choice architecture really affect their behavi7:51

    Learn how small changes in choice architecture act as nudges to influence decisions without restricting freedom, using social proof and commitment bias in smartphone apps that enable social sharing.

  • Teaching assistant robots are as effective as human teachers!11:11
  • Quiz 1測驗一

Requirements

  • Without any prerequisite, you will have the opportunity to enhance your essential knowledge of effectively intervening human behavior after taking this course.

Description

This course is conducted in English (with Chinese subtitles 英語發音，中文字幕).

This course introduces you to the science of human behavior, especially the behavioral biases and nudge theory that are essential for precision marketing in business. The course features English pronunciation and Chinese subtitles, and each unit includes a set of multiple-choice questions.

The goal of the course is to cultivate learners who have acquired data-driven decision-making, AI, predictive modeling, and data science skills to combine with behavioral science across disciplines. Through the planning of effective proactive intervention programs, such as "behavioral change technology" and "self-regulation methods," learners can fully demonstrate the behavior science of AI-driven precision decision-making in the digital transformation wave of AI applications (such as precision education and marketing).Unit 1: Introduction to Human Behavioral Science

  • Unit 1: Introduction to Human Behavioral Science

  • Unit 2: Obstacles to Human Behavior

  • Unit3: Nudge Theory

The course is designed for teachers to lead students in understanding and evaluating real-world cases.

Students will be able to design effective and ethical AI precision decision-making intervention plans.

The overall goal of the course:

  1. Students will be able to explain how AI-driven behavior change through precise decision-making can add value to various industries.

  2. Students will be able to design effective and ethical AI precision decision-making intervention plans based on behavioral science.

Who this course is for:

  • This course is suitable for all data scientists and business professionals in management roles who are interested in integrating predictive analytics of artificial intelligence with behavioral economics.

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