Day 5: AI and the Environment (SKIPPED)

Instructions (Part I): Environmentalists gather information about species and habitats from various images. These include close-ups from camera traps, distant satellite images, and photos taken by citizen scientists who share them with researchers. View the video below to learn more about the conservation science of camera trapping specifically.

Instructions (Part II): Camera trap data is valuable but overwhelming for scientists, taking hours to analyze thousands of photos, often leading to outdated information. Artificial Intelligence (AI) can help solve this issue in conservation science. Please view the slide below and reflect on the different types of AI.  

Instructions (Part III): Carefully view the video below and reflect on the role of AI in addressing problems with biodiversity.

Instructions (Part IV): In your browser, navigate to Scroll down to the “How do I use it” guide to see how to use the teachable machine. The tutorials may be helpful. Click “Get Started” to train your own machine!

Instructions (Part V): Use the “image” option to be most like what environmental AI “Camera Trap” does. Write down what you want to happen. Which 2 animals do you want it to recognize? Add samples for your machine by uploading pictures of these animals. You can also take more pictures with the camera option. When you think you’re ready, click “Train Model”. Test with “Preview.” Did your training work? If not, add more samples and train again. How is Teachable Machine similar to the AI described in the videos that goes through satellite and camera trap data?

Instructions (Part VI):  Use Screencastify to your record and share a video explanation of your trained teacahble machine “Camera Trap”.  playing your game below. Type your first name in the “Subject” area.  

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