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Generative AI : Ethics and Generative AI

Guidance and resources for AI chatbots and other types of Generative AI

Vice Provost for Information Technology and Chief Information Officer Lois Brooks

Like any new tool, we need to approach using it with care. For all of the great potential AI has, it is also imbued with a host of new risks. AI has the potential to be the vector for a tsunami of new cybersecurity threats, including phishing attacks, spam, malware, deepfakes and embedded vulnerabilities in machine-generated code. Large language models can magnify our human failings, like xenophobia, racism, sexism, ableism, transphobia, ethnocentrism and other prejudices and biases. And many people are justifiably concerned about what advancements in AI will mean for their lives and livelihoods.

AI has opened the door to a new world. What it looks like is up to us (July 18, 2023)

Ethical Considerations

The ethical considerations of AI technologies are substantial and evolving. These include, but are not limited to:

  • bias perpetuated in the training data and code
  • inequitable access based on socioeconomic status, language, location, etc.
  • use of personal data and intellectual property without consent or permission
  • environmental sustainability of big data systems
  • transparency in the use of generative AI
  • research responsibility, authorship, and copyright
  • inaccuracy and disinformation
  • unfair labor practices
  • academic integrity
  • data security

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