Jennifer Edmond – författare

Choice Outstanding Academic Title 2023This open access book explores the challenges society faces with big data, through the lens of culture rather than social, political or economic trends, as demonstrated in the words we use, the values that underpin our interactions, and the biases and assumptions that drive us. Focusing on areas such as data and language, data and sensemaking, data and power, data and invisibility, and big data aggregation, it demonstrates that humanities research, focusing on cultural rather than social, political or economic frames of reference for viewing technology, resists mass datafication for a reason, and that those very reasons can be instructive for the critical observation of big data research and innovation.The eBook editions of this book are available open access under a CC BY-NC-ND 4.0 licence on bloomsburycollections.com. Open access was funded by Trinity College Dublin, DARIAH-EU and the European Commission.

Choice Outstanding Academic Title 2023This open access book explores the challenges society faces with big data, through the lens of culture rather than social, political or economic trends, as demonstrated in the words we use, the values that underpin our interactions, and the biases and assumptions that drive us. Focusing on areas such as data and language, data and sensemaking, data and power, data and invisibility, and big data aggregation, it demonstrates that humanities research, focusing on cultural rather than social, political or economic frames of reference for viewing technology, resists mass datafication for a reason, and that those very reasons can be instructive for the critical observation of big data research and innovation.The eBook editions of this book are available open access under a CC BY-NC-ND 4.0 licence on bloomsburycollections.com. Open access was funded by Trinity College Dublin, DARIAH-EU and the European Commission.

This open access book examines the debate on Artificial Intelligence (AI) within the evolving landscape of democratic governance, where technological innovation is reshaping participation, decision-making, and institutional practices. Drawing on four Horizon Europe projects—ORBIS, AI4Gov, ITHACA, and KT4D—it offers concrete insights into how AI can be designed and governed to reflect democratic values of inclusiveness, transparency, and accountability, while also confronting the risks of opacity, bias, and institutional unpreparedness that threaten legitimacy and public trust. Across its chapters, the book combines design-led, participatory, and socio-technical approaches to offer actionable frameworks for: (i) improving data access and understanding; (ii) embedding ethical principles through co-creation and legal foresight; (iii) building human-centered AI systems via multi-stakeholder engagement; and (iv) addressing systemic marginalisation in AI development. Grounded in interdisciplinary research and real-world experimentation across Europe, the volume provides tools, lessons, and frameworks for responsible AI integration into democratic infrastructures. It is intended for policymakers, designers, researchers, and civic tech practitioners seeking to align technological innovation with democratic values of inclusiveness, transparency, and accountability.