Introduction: In 2025, Oxford University Press will be launching a new type of resource: Oxford Intersections. Oxford Intersections reflects the critical role that peer-reviewed interdisciplinary research plays in helping policy- and decision-makers tackle the world’s most complex and urgent environmental, cultural, political, and social challenges.
Topics of Interest: I invite abstracts for new interdisciplinary research articles on a range of topics related to Culture, Art and Knowledge Work section for the AI in Society Intersection.
This unit investigates how AI intersects with culture, art and knowledge work by understanding how it positively or negatively impacts creative practice and industries. This unit brings forward the challenges and possible solutions to such intersections. At a time when AI is seen as a threat that could potentially overtake many industries, a counterargument pertaining to creative practices is that AI does not have the potential to be as creative as the human mind and soul. AI is, instead, forecast to work alongside the creative human through collaboration or augmentation. Culture, art and knowledge work are concepts that share the common attribute of adding value to creativity. Knowledge work provides creative knowledge contribution, which either creates an original knowledge product or adds obvious value to an existing one. The main capital of knowledge work is therefore ‘knowledge’. It produces work that cannot be done by computational means and, in turn, requires what AI might not have the ability to do, such as acquired expertise, learned experiences, critical thinking, and problem-solving skills – in other words creative capabilities. This unit, therefore, is interested in how AI’s involvement in the creative fields is evolving. It aims to capture the debates and discussions in relation to the role and impact of AI on culture, art and knowledge work.
Of interest to this unit are also the global conversations that surround the intersection of AI with fine arts, performing arts, handcrafts, music and sound, museums and galleries, game design, architecture, media and communication, and literature and publishing.
Questions this unit seeks to provide responses to relate to how AI is understood or misunderstood in relation to culture, art and knowledge work, unpacking the implications resulting from computational culture and society, education, innovation, policy, ethics and the economy.
Specifically, I’m seeking articles on topics such as:
- Computational Culture and Society: preservation of identity, representation and diversity, indigenous cultures, social movements and social justice.
- Creative Knowledge and Transfer: challenges in the preservation of culture through AI training, global learning, and R&D.
- Creativity and Innovation: navigating adaptive and generative AI for knowledge and creative work, human-AI collaboration, and AI as disruptor to creative practices.
- Creative Policy and Regulation: global policy for AI and the arts, AI and cultural change in the Global South, role of government in computational creative policy and regulation, and role of AI in cultural exchange and diplomacy.
- Ethics and Privacy: data security and knowledge work, surveillance and censorship by algorithms and social media, and understanding intellectual property and copyright in computational culture.
- Augmentation and collaboration of AI and the Creative Arts: challenges and opportunities in relation to the intersection of AI in the visual arts, handcrafts, performing arts, music and sound production, museums and galleries, humangame AI interaction, human-centred AI in architecture, AI assisted journalism, and impact of AI on literature and publishing.
Authorship: Oxford Intersections welcomes contributors from diverse backgrounds, spanning disciplines, institutions, geographies, and career stages. Authors may include researchers, academics, professionals, practitioners, and PhD students.
Submission Guidelines:
- Manuscripts should be original and not previously published or under consideration elsewhere.
- If accepted, articles should run between 5-8K words and will be rigorously peer reviewed before publication.
- To be considered, submit abstracts of no more than 500 words with CVs to Saba Bebawi on: sababebawi@gmail.com
Key Dates:
- Abstract Submission Deadline: 11th November 2024.
- Notification of Acceptance: 22nd November 2024.
- Final Manuscript Due: 28th February 2025.
We are ready to receive and publish articles whenever they are ready, so you are welcome to submit earlier than the timeline outlined above.
More about AI in Society
AI in Society will bring together scholarly research that explores how AI has transformed (and continues to transform) the world we live in, both positively and negatively, and the challenges and debates it brings along with it. An increasingly ubiquitous topic in news and media, how AI is understood—or misunderstood—in the global conversation, how researchers, consumers, and citizens contend with its implications for privacy, trust, security, and governance, will drive innovation and policy at the local, national, and international level for generations to come.
Accepted manuscripts will undergo a rigorous peer-review process to ensure academic standards and relevance to the overall ethos of the Intersections project. Please see more here: https://academic.oup.com/intersections/pages/about
General Editor: Philipp Hacker, Chair for Law and Ethics of the Digital Society, European University Viadrina in Frankfurt (Oder), Germany
Section Editor: Saba Bebawi, Professor in Journalism and Chair of Journalism and Writing,
University of Technology (UTS), Australia