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Title: Exploring the Power of Deep Learning

Grade level: High school

Subject: Computer science

Objectives:

Students will be able to explain the significance of AlphaGo’s victory in the game of Go.
Students will understand the limitations of traditional programming in domains where humans know more than they can tell.
Students will be able to describe the process of deep learning and reinforcement learning and their applications.
Students will be able to evaluate the implications of deep learning on society and the economy.

Materials:

Access to the article “A Breakthrough for AI Technology: Building Machines That Learn Like Humans” by Gary Marcus and Ernest Davis
Whiteboard and markers
Video clips of AlphaGo playing against human champions

Procedure:

Warm-up (5 minutes): Ask students if they have ever played the game of Go. If not, show them a brief video clip of AlphaGo playing against a human champion and ask them to share their observations and thoughts.
Introduction (10 minutes): Provide students with a brief background on the significance of AlphaGo’s victory and how it differs from Deep Blue’s victory in chess. Discuss why Go is a more complex game and why it is difficult for humans to explain how they play at the highest levels.
Reading and discussion (20 minutes): Have students read the article “A Breakthrough for AI Technology: Building Machines That Learn Like Humans” by Gary Marcus and Ernest Davis. Ask them to underline key points and discuss them in pairs. Then, as a class, review the article and discuss the following questions:

What is Polanyi’s Paradox and how does it relate to the limitations of traditional programming in domains where humans know more than they can tell?
What is deep learning and how is it different from traditional programming?
What are some applications of deep learning and reinforcement learning?
What are the implications of deep learning on society and the economy?

Activity (30 minutes): Divide students into small groups and ask them to research one specific application of deep learning, such as speech recognition or radiology. Have them create a short presentation to share with the class, including examples of how this technology is used, its benefits and drawbacks, and potential implications for society.
Conclusion (10 minutes): Summarize the key takeaways from the lesson and ask students to reflect on their own opinions about the implications of deep learning on society and the economy. Encourage them to share their thoughts and engage in a class discussion.

Assessment:

Participation in class discussion and group activity
Quality of group presentation and ability to articulate key points
Written reflection on the implications of deep learning on society and the econom