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- ![image/png](https://cdn-uploads.huggingface.co/production/uploads/66fe42863d38ec1404eb6845/K-KlnuXi_u2PiQDfRiakD.png)
 
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- **WORKBank (AI Agent Worker Outlook and Readiness Knowledge Bank)** is a database that captures preferences from 1,500 domain workers and capability assessments from AI experts across over 844 tasks spanning 104 occupations. This database stems from our project detailed in Future of Work with AI Agents: Auditing Automation and Augmentation Potential across the U.S. Workforce that presents a systematic audit of worker attitudes and AI capability across occupations in the US workforce. We introduce a novel auditing framework to assess which occupational tasks workers want AI agents to automate or augment, and how those desires align with the current technological capabilities. Using this framework, we construct the WORKBank database, building on the U.S. Department of Labor's O*NET database, to capture preferences from both domain workers and capability assessments from AI experts across over a diverse set of tasks and occupations.
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- ## WorkBank Database and Code
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- We share our dataset here. Our [github repository](https://github.com/shaoyijia/work-bank/tree/main) contains our [Code Book](https://github.com/shaoyijia/work-bank/blob/readme-draft/codebook.pdf) and the code used for analysis and plotting of diagrams.
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  To download a data file, use:
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- ```
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  from datasets import load_dataset
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- dataset = load_dataset("SALT-NLP/WORKBank", data_files="worker_data/domain_worker_metadata.csv")
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  ```
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  ## Citation
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  Please cite our paper if you use this code or part of it in your work:
 
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+ ![image/png](https://raw.githubusercontent.com/SALT-NLP/workbank/main/assets/workbank.png
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+ )
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+ **WORKBank (AI Agent Worker Outlook and Readiness Knowledge Bank)** is a database that captures worker desire and technological capability of AI agents for occupational tasks.
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+ The current version of WORKBank includes preferences from 1,500 U.S. domain workers and capability assessments from AI experts, covering over 844 tasks across 104 occupations collected between January and May 2025. This database stems from our project detailed in [*Future of Work with AI Agents: Auditing Automation and Augmentation Potential across the U.S. Workforce*](https://arxiv.org/abs/2506.06576) that introduces a novel auditing framework to assess which occupational tasks workers want AI agents to automate or augment, and how those desires align with the current technological capabilities.
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+ ## WorkBank Database and Code
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  To download a data file, use:
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+ ```python
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  from datasets import load_dataset
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+ worker_desire = load_dataset("SALT-NLP/WORKBank", data_files="worker_data/domain_worker_desires.csv")["train"]
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+ expert_ratings = load_dataset("SALT-NLP/WORKBank", data_files="expert_ratings/expert_rated_technological_capability.csv")["train"]
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+ task_meta_data = load_dataset("SALT-NLP/WORKBank", data_files="task_data/task_statement_with_metadata.csv")["train"]
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  ```
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+ Our [github repository](https://github.com/SALT-NLP/workbank/tree/main) contains our [Code Book](https://github.com/SALT-NLP/workbank/blob/main/codebook.pdf) and the code used for analysis and plotting of diagrams.
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  ## Citation
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  Please cite our paper if you use this code or part of it in your work: