Researchers are increasingly turning to Large Language Models (LLMs) such as GPT-3 for HCI research projects. However, these tools raise ethical concerns, particularly when engaging with human subjects. The paper “I’m categorizing LLM as a productivity tool”: Examining ethics of LLM use in HCI research practices provides a critical examination of how HCI researchers approach the ethical dimension of LLMs.

Findings from interviews and surveys reveal that while researchers recognize ethical issues, actions to address them are limited or non-existent.

Key Insights:

• LLMs offer robust productivity benefits but create ethical puzzles in application within HCI.
• The responsibility is distributed across the LLM supply chain, leading to inaction or remedial workarounds.
• There’s a need for establishing clear norms and guidelines for ethical LLM usage in HCI research.

In my opinion, this research is essential for framing the conversation about ethics in HCI. It provides a foundation for future guidelines and policy-making, encouraging more responsible research practices. Through awareness and discussion, we can shape the field to address complex ethical questions, ensuring the technology serves humanity positively.