Responsible and Ethical Implementation

The power of GenAI to produce human-like outputs presents remarkable opportunities for Arizona's schools and classrooms; it also punctuates the need for staff and student training, as well as regulation that is informed by legal and ethical input. At this point in its societal adoption, it is impossible to know the full gamut of ethical considerations - but based on how GenAI is trained, what it produces, and how, some key ethical risks are evident.

To help Arizona's education leaders better understand the ethical terrain of GenAI, we present five key considerations to begin critical dialogue within their institutions. While these may not cover the entire spectrum of ethical challenges posed by GenAI, they reflect some big ideas that LEAs should consider. We end this section with recommendations to address ethical considerations.

Use the Table of Contents below to explore each consideration and review recommendations.

• Consideration #1: Bias

• Consideration #2: Misinformation and Falsehoods

• Consideration #3: Intellectual Property

• Consideration #4: Data Privacy

• Consideration #5: Equitable Access

• Addressing Ethical Considerations (Recommendations)