How might you adapt “The Most Likely Machine” for your own students to help them think critically about how AI makes decisions? This activity lends very well to AI and how we understand it. Current AIs are only as good as the information they are trained on, and are subject to bias just as algorithms are because people are, and people are the ones who design these technologies. I would adapt this activity by replacing "algorithm" and any information about them with "AI" and more information about these technologies.

How can you design follow-up activities that empower students to question, test, or improve AI systems rather than simply use them? If students use AI often enough in my classroom, I may do frequent check-ins with them to see if they think the information they're getting from the AI platform is accurate and/or biased.

If you were to repeat this lesson with your students, what supports or modifications would you add to ensure that all learners can engage meaningfully with the concept of bias in AI? I would add in people/celebrities that my students would know so that they would be better able to engage with the activity.

How might you adapt “The Most Likely Machine” for your own students to help them think critically about how AI makes decisions? I would have them work in pairs, then talk to a group of 4 while interacting with the activity, to promote communication & collaboration. Perceptions are based on human bias, AI is programmed by people, and it will be important for them to "connect the dots" and realize that they always need to question and be critical of AI outputs.

How can you design follow-up activities that empower students to question, test, or improve AI systems rather than simply use them? I would spend time with explicit lessons showing data, algorithms, and outputs from tokening language to show students what is reallly happening behind the scenes. I would have a bank of prompts of varying complexity and language choice to have them explore how it impacts the outputs.

If you were to repeat this lesson with your students, what supports or modifications would you add to ensure that all learners can engage meaningfully with the concept of bias in AI? I would ask the students to brainstorm celebrities, athletes, other famous people that exhibit these qualities and we would "build" a new version together.

How might you adapt “The Most Likely Machine” for your own students to help them think critically about how AI makes decisions?

How can you design follow-up activities that empower students to question, test, or improve AI systems rather than simply use them?

If you were to repeat this lesson with your students, what supports or modifications would you add to ensure that all learners can engage meaningfully with the concept of bias in AI?

• I would have to adapt this activity for an elementary age level. That would need to include a "read-to-me" feature. I am not sure all my students would even recognize these famous people. I would need to modify it to include people they would be able to recognize and describe. It would need to also use adjectives that are familiar to them.

• My students do recognize what an algorithm is, but might have difficulty translating it from a coding setting to a way of sorting/categorizing "real" people. They would struggle with it not being completely black and white with the possibility biase.