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Academic Publishing in an Era of ChatGPT

In this episode of Generative Dialogues, Mark Carrigan and Helen Beetham discuss the implications of recent developments in academic publishing and generative AI. Key topics include:

  1. The Taylor & Francis deal with Microsoft: Discussion of the £8 million agreement for AI access to the publisher’s library and its implications for academic publishing.
  2. The changing landscape of academic journals: How the traditional journal system is evolving towards platform-based models and the role of AI in this transition.
  3. The political economy of academic publishing: Analysis of the profit motives driving publishers and how AI fits into their business strategies.
  4. Peer review challenges: Examination of existing issues in the peer review process and how AI might exacerbate or potentially address these problems.
  5. The impact on academic careers and reputation: How AI and platform-based publishing may affect scholarly visibility, citation metrics, and career progression.
  6. Inequalities in academic publishing: Discussion of how AI and data-driven systems may reinforce existing hierarchies and inequalities in academia.
  7. Environmental concerns: Brief mention of the ecological impact of AI-driven publishing and research practices.
  8. Alternatives to traditional publishing: Exploration of potential alternatives, including open-access models, artisanal approaches to academic writing, and community-led publishing initiatives.
  9. The role of theory in digital education: Reflection on how theoretical frameworks can inform our understanding of these technological shifts in academia.

Throughout the conversation, Mark and Helen balance critical analysis of current trends with cautious exploration of potential positive developments and alternatives. They emphasize the need for academics to engage critically with these changes while recognizing the complex systemic nature of the challenges faced.

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