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Edward G. Miner Library

AI: Ethics and Policy

A Comprehensive Resource on Artificial Intelligence Applications, Innovations, and Academic Pursuits

The Ethics of Using Large Language Models (LLMs)

  • Researchers should disclose their use of LLMs and indicate which parts of the text were written or co-written by LLMs.
  • Generated content should be checked by a domain expert.

 

 

  • When content of a publication has been impacted (even in the absence of using AI-generated text), this should be disclosed.
  • Researchers should not use LLMs to fabricate or falsify data.
   

OpenAI Model Behavior Feedback & Bug Bounty Program

  1. OpenAI Model Behavior Feedback: Share feedback on AI model behavior & learn about ongoing improvements

  2. OpenAI User Data Usage Opt-Out Request: Opt-out of data usage for model enhancement, acknowledging potential impacts on tailored model performance

  3. OpenAI Bug Bounty Program: Report vulnerabilities in AI systems via Bugcrowd & earn rewards.

Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence

Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence -- This addresses the critical aspects of ensuring the secure and trustworthy development and utilization of artificial intelligence, with potential implications for healthcare advancements.

  • This EO is accompanied by a draft memorandum, now open for public comment, from the Office of Management and Budget (OMB) with additional guidance for the federal government to manage risks and mandate accountability while advancing innovation in AI.

UR Arts Sciences and Engineering Instructors' Guide to using AI in the Classroom



Feb, 2023 ... AS&E encourages instructors to adopt ChatGPT/AI only after they consider: (a) how the tools support course learning goals, and (b) how they can create alternative assignment options for students who want to avoid uploading their personal details and/or intellectual property into these platforms.

Detection versus Disclosure

Detection is complicated, encouraging disclosure is recommended.

  • As part of the methods section (describing who used the system, when and using which prompts)
  • AND among references

AI Disclosure Recommendations

  • AI model used
  • Model training data
  • Potential bias and limitations
  • AI's role in the project (e.g., Info retrieval, data analysis, decision-making)