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Generative AI : Ethics and Generative AI

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

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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.

Vice Provost for Information Technology and Chief Information Officer Lois Brooks | AI has opened the door to a new world. What it looks like is up to us (July 18, 2023)

Ethical Considerations

Generative AI technology is evolving quickly and so are the ethical questions about it. These include, but are not limited to:

  • Bias perpetuated in the training data and code that can harm individuals and violate human rights
  • Inequitable access based on socioeconomic status, language, location, etc.
  • Use of personal data and intellectual property without consent or permission
  • Transparency of the use of generative AI in content creation and decision making
  • Research responsibility, authorship, and copyright
  • Job market impacts and unfair labor practices 
  • Education, learning loss, and academic integrity
  • Inaccuracy and disinformation
  • Environmental impacts 
  • Mental health
  • Cybersecurity

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