Responsible Generative AI Use

Generative AI refers to machine learning models that can generate new, original content like text, images, audio, video, and more. Key points about generative AI:

  • Text: Models generate text based on a given prompt. They are trained on massive volumes of text data and can write content like stories, articles, code, conversational text, and more.
  • Images: Models can create realistic images and art by generating pixel data. The user provides a text description and the AI generates a corresponding image that does not otherwise exist.
  • Audio: Models can generate human-like audio clips based on text descriptions, from speech to music.
  • Video: An emerging generative AI capability is video generation from textual descriptions. Models can generate dynamic pixel data that realistically appears like a video.

The hallmark of generative AI is the ability to produce content powered by the patterns learned from training data. The outputs are getting remarkably realistic and flexible as technology keeps advancing.

Responsible Use

Users should follow best practices for selecting and using AI tools and services, considering the potential risks and benefits of generative AI. This includes being aware of the limitations of AI-generated content and verifying its accuracy before using it in academic or research contexts. Always check with course instructors about when it is appropriate to use generative AI tools. It is the responsibility of the student to know and follow the course policy.

Ethical Considerations

Generative AI use at West Chester University should adhere to ethical principles, including privacy, fairness, transparency, and accountability. Researchers and users should consider the potential societal impacts of AI technologies, such as fairness, bias, and privacy. 

Data Privacy and Security

Users must follow data privacy and security guidelines when using generative AI, protecting personal and institutional data. This includes adhering to West Chester University’s data privacy policies and any applicable laws and regulations.

Faculty

  • Use generative AI to enhance teaching and learning experiences while maintaining academic integrity.
  • Be transparent about the use of AI-generated content in course materials.
  • Encourage students to use AI responsibly and ethically.

Staff

  • Use generative AI to improve administrative processes and decision-making.
  • Ensure data privacy and security when using AI tools in daily tasks.
  • Stay informed about the latest AI developments and best practices.

Students

  • Always check with course instructors about when it is appropriate to use generative AI tools. It is the responsibility of the student to know and follow the course policy.
  • Use generative AI to support learning and research while adhering to academic integrity policies.
  • Generative AI tools should never be a substitute for personal skill development or thinking.
  • Properly cite AI-generated content in academic work.
  • Be aware of the limitations of AI-generated content and verify its accuracy before using it in academic or research contexts.

In the module linked below, students learn what generative AI is - including benefits, pitfalls, and how these tools might be used at WCU:

Example Tools

TBD

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Learn More (LINK)

 

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Training and Support

Resources and support for learning about and using generative AI, such as workshops, tutorials, and help centers:

FAST

TLC

 

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