Ethical AI and Librarianship
A Resource Guide
Programming Historian
|
Field
|
Description |
|---|---|
| Title | Programming Historian |
| Type | Projects & Institutions |
| Creator | ProgHist Ltd. |
| Link | https://programminghistorian.org/ |
| Creation Date | 2008 |
| Last Updated Date | 2025 |
| Summary | The Programming Historian is an open-source, peer-reviewed journal that publishes tutorials and lessons on digital research methods for humanities scholars. It focuses on teaching practical skills in digital tools, techniques, and workflows to support both research and teaching in the digital humanities. The project is overseen by an editorial board and administered by ProgHist Ltd, a registered charity in England and Wales. Lessons published are available in English, Spanish, French, and Portuguese. Two notable lessons specifically address ethical concerns in AI applications: 1) “Facial Recognition in Historical Photographs with Artificial Intelligence in Python" by Charles Goldberg and Zach Haala explores ethical challenges in using computer vision for facial recognition. It highlights algorithmic bias in race and gender, and provides recommendations for more ethical practices. 2) "Interrogating a National Narrative with GPT-2" by Chantal Brousseau examines the ethical implications of training large-scale language models. It addresses biases in training data, the reliability of news sources used, and the static nature of datasets that may reflect outdated world views. |
| Topic | AI and Archive. Ethical AI. |
| Source and Link | Programming Historian (PH). https://programminghistorian.org/ |
| Access | Open |
| Accessibility | Open |
| Audience | Information professionals. Scholars and Students. |
| Platform or Format | Web |
| Length | -- |
| Geography | GBR/USA/Europe |
| Language | ENG/FRE/SPA/PRT |
| Description Date | 06/03/2025 |