The AIAI Data Collective applies Critical AI frameworks to latent questions of AI data storage. We are developing a digital tool that guides users through a decision-making process for ethical AI data management, resulting in recommended practices that address critical and ethical concerns such as labor, privacy, and bias.

This research proposal explores the intersection of Critical Digital Humanities and Generative AI, aiming to enhance critical thinking in education. Through a mixed-methods approach, it will develop practical guidelines for educators, addressing challenges such as bias and transparency while fostering thoughtful engagement with AI technologies.

This paper, though examining discourses on access to digital archives (particularly community digital archives) and discussion on building care in access from the Stories on Contested Histories International Programme 2024, argues that studying challenges of access to digital archives and collections can help in conceptualising frameworks for inclusive access.

The paper invokes three narratives of disruptive digital projects that make comics accessible through AltNarrative, a multilingual digital repository, or the inception of a lab to create a born-digital and an inclusive comic of the future. The issue of web or digital accessibility is evaluating with respect to WCAG2.2 compliance.

This paper presents a framework for integrating LLMs into critical research work flows, addressing legal, ethical, and methodological challenges. Drawing on projects analyzing historical newspapers and court records, it emphasizes aligning LLM use with established hermeneutical practices to navigate automation responsibly and set standards for DH research and beyond.