| Autor: |
Zhang, Helen, Lee, Irene A., Moore, Katherine Strong, Shah, Sheikh Ahmad |
| Zdroj: |
Proceedings of the ASEE Annual Conference & Exposition; 2023, p1-6, 6p |
| Abstrakt: |
The rapid expansion of Artificial Intelligence (AI) necessitates a need for educating students to become knowledgeable of AI and aware of its interrelated technical, social, and human implications. The latter (ethics) is particularly important to K-12 students because they may have been interacting with AI through everyday technology without realizing it. They may be targeted by AI generated fake content on social media and may have been victims of algorithm bias in AI applications of facial recognition and predictive policing. To empower students to recognize ethics related issues of AI, this paper reports the design and implementation of a suite of ethics activities embedded in the Developing AI Literacy (DAILy) curriculum. These activities engage students in investigating bias of existing technologies, experimenting with ways to mitigate potential bias, and redesigning the YouTube recommendation system in order to understand different aspects of AI-related ethics issues. Our observations of implementing these lessons among adolescents and exit interviews show that students were highly engaged and became aware of potential harms and consequences of AI tools in everyday life after these ethics lessons. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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