Job crafting is key to improving crowdworking

Job crafting is key to improving crowdworking

L'IA Potemkine et le futur du travail, une conversation avec Antonio Casilli | Le Grand Continent

L’intelligence artificielle est-elle un leurre ? Selon Antonio Casilli, il y a une continuité entre les espaces de travail peu qualifié dans lesquels les données sont produites et ceux dans lesquels la base minérale de l’intelligence artificielle est extraite. Il est temps de sortir du mythe et de penser l’articulation des infrastructures humaines et matérielles de l’IA.

ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks

Many NLP applications require manual data annotations for a variety of tasks, notably to train classifiers or evaluate the performance of unsupervised models. Depending on the size and degree of complexity, the tasks may be conducted by crowd-workers on platforms such as MTurk as well as trained annotators, such as research assistants. Using a sample of 2,382 tweets, we demonstrate that ChatGPT outperforms crowd-workers for several annotation tasks, including relevance, stance, topics, and frames detection. Specifically, the zero-shot accuracy of ChatGPT exceeds that of crowd-workers for four out of five tasks, while ChatGPT's intercoder agreement exceeds that of both crowd-workers and trained annotators for all tasks. Moreover, the per-annotation cost of ChatGPT is less than $0.003 -- about twenty times cheaper than MTurk. These results show the potential of large language models to drastically increase the efficiency of text classification.

A bot that watched 70,000 hours of Minecraft could unlock AI’s next big thing

Online videos are a vast and untapped source of training data—and OpenAI says it has a new way to use it.