Ethical Considerations on using AI and Machine Learning for Libraries
Our Ethics
- Bias and AI
- Academic Fraud and Artificial Intelligence
- Creator Attribution and Copyright
- Privacy Concerns in Large Language Models
- Guidelines for Incorporating AI
Breakout Session Themes
- Identify multiple stakeholders that are impacted by bias? Academic fraud? Privacy? Copyright?
- Given the guidelines, what specific requirements are needed for your team's Use Case?
Social and Existential Risks
- Carbon Footprint of LLMs
- Deepfakes
- AI Slop
- Hallucinations and Generative AI
- p(doom) and Artificial General Intelligence (AGI)
Breakout Session Themes
- What specific requirements are needed for Deepfakes or Hallucinations?