Crowdsourced Evaluation in AI

A Crowdsourced Evaluation in AI is an AI evaluation methodology that is a human-in-the-loop benchmarking process leveraging distributed human judgments for assessing AI systems.

• Context:
  • It can collect Crowdsourced AI Evaluation Data through platforms like LMArena.
  • It can employ Crowdsourced AI Evaluation Methods like pairwise preference elicitation.
  • It can mitigate Crowdsourced AI Evaluation Biases through anonymity and randomization.
  • It can scale Crowdsourced AI Evaluation Processes via open participation.
  • ...
  • It can range from being a Vote-Based Crowdsourced Evaluation in AI to being an Annotation-Based Crowdsourced Evaluation in AI, depending on its crowdsourced ai evaluation judgment type.
  • It can range from being a Synchronous Crowdsourced Evaluation in AI to being an Asynchronous Crowdsourced Evaluation in AI, depending on its crowdsourced ai evaluation timing model.
  • ...
  • It can produce Crowdsourced AI Evaluation Metrics like Arena Elo Score.
  • It can integrate with Crowdsourced AI Evaluation Platforms for data collection.
  • ...
• Example(s):
  • LMArena Crowdsourced Evaluation, ranking LLMs via user battles.
  • MTurk AI Evaluation, using mechanical turk workers.
  • ImageNet Crowdsourced Annotation, for computer vision datasets.
  • ...
• Counter-Example(s):
  • Automated AI Evaluation, using metrics without human input.
  • Expert-Only AI Evaluation, limited to domain specialists.
  • Synthetic Benchmark Evaluation, using generated test cases.
• See: Pairwise Preference Elicitation, Human Preference Vote, LMSYS Chatbot Arena.

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