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DTSTAMP:20260404T165932Z
DTSTART;TZID=Europe/London:20251115T230000
DTEND;TZID=Europe/London:20251115T230000
SUMMARY:Artificial Intelligence in Research & Education (AI & Society\, Oxford University Press)
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DESCRIPTION:<p><strong>Artificial Intelligence in Research &amp\; Education</strong></p>\n<p><strong>AI &amp\; Society\, Oxford Intersections (Oxford University Press)</strong></p>\n<p><strong>Call for Papers:</strong></p>\n<p>Artificial intelligence (AI) is reshaping research and education in ways that will endure for decades. While predictive AI has long supported scientific inquiry\, the rise of generative AI is transforming how researchers\, teachers\, and students work each day. AI assistants are now poised to become everyday tools across universities and schools\, requiring urgent philosophical reflection. This transformation not only raises well-known ethical concerns &ndash\; plagiarism\, deskilling\, bias\, and privacy violations &ndash\; but also epistemological questions about the nature of knowledge and the tools we use to discover the world. These questions include: How can we assess the trustworthiness of knowledge produced with AI? How might unequal access to AI exacerbate existing educational inequalities? Can automated systems for writing\, grading\, or evaluating research ever be transparent and fair? What becomes of creativity and originality when AI acts as co-author\, collaborator\, or evaluator?</p>\n<p>We invite full-length articles that address the ethical and epistemic dimensions of AI in research and education. Contributions may engage with\, but are not limited to\, the following themes:</p>\n<ul>\n<li>Transparency and accountability in AI-supported research and education</li>\n<li>Epistemic justice: fairness in knowledge creation\, access\, and authority</li>\n<li>Creativity and originality in academic and student work involving AI</li>\n<li>Automated evaluation\, grading\, and peer review in research and education</li>\n<li>Trustworthiness\, reliability\, and integrity of AI-driven knowledge production</li>\n</ul>\n<p>We welcome submissions from philosophy of education\, philosophy of technology\, and related fields\, as well as interdisciplinary contributions from education\, AI studies\, and the social sciences.</p>\n<p><strong>Submission Guidelines</strong></p>\n<p>Abstracts: up to 400 words. Deadline: 15th&nbsp\;November 2025<br>Full papers: 6\,000&ndash\;8\,000 words. Deadline: 31st&nbsp\;May 2026</p>\n<p><strong>Editors</strong></p>\n<p>Section Editors: Matthew Dennis (TU/e) &amp\; Vlasta Sikimić (TU/e)</p>\n<p>General editor: Philipp Hacker (European University Viadrina)</p>\n<p><strong>Questions?</strong></p>\n<p>Please contact Matthew Dennis (m.j.dennis@tue.nl)&nbsp\;</p>
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