Journal Guide

Cambridge Forum on AI: Culture and Society publishes research both about and produced with artificial intelligence (AI): research about the social and cultural implications of AI as well as studies employing AI to develop new methodologies for critical research. Its goal is to understand the social and cultural situatedness of AI, how AI is socially and culturally enacted, how AI influences wider social and cultural formations, and how this might change with different culturally sensitive manifestations of AI. The journal takes up a core challenge of our times: how to make sense of and intervene in our entanglement with the emerging regimes of smart machines in order to both harness their positive potentials and mitigate their harmful effects. Cambridge Forum on AI: Culture and Society will publish humanities and social science research on epistemologies, histories and practices of AI, casting light on how AI applications translate, undermine or advance the diversity of social and cultural values and lifeworlds. Responding to wider public and political debates, and encouraging critical inquiry with AI as well as about AI, the journal will foster new methodologies, critical capacities and computational practices. Importantly, while the journal employs the terms ‘artificial intelligence’ and ‘AI’ , it joins those concerned to probe critically how it is that these terms have come to be established and reproduced uncontroversially. The journal will publish themed issues that tackle questions and problematizations that are shared, disputed and debated across disciplines. Cambridge Forum on AI: Culture and Society is part of the Cambridge Forum series, which progresses cross-disciplinary conversations on issues of global importance. Learn more here.

Cambridge Forum on AI: Law and Governance publishes content focused on the governance of artificial intelligence (AI) from law, rules, and regulation through to ethical behaviour, accountability and responsible practice. It also looks at the impact on society of such governance along with how AI can be used responsibly to benefit the legal, corporate and other sectors.

Following the emergence of generative AI and broader general purpose AI models, there is a pressing need to clarify the role of governance, to consider the mechanisms for oversight and regulation of AI, and to discuss the interrelationships and shifting tensions between the legal and regulatory landscape, ethical implications and evolving technologies. Cambridge Forum on AI: Law and Governance uses themed issues to bring together voices from law, business, applied ethics, computer science and many other disciplines to explore the social, ethical and legal impact of AI, data science, and robotics and the governance frameworks they require.

Cambridge Forum on AI: Law and Governance is part of the Cambridge Forum journal series, which progresses cross-disciplinary conversations on issues of global importance.

Carbon Technologies focuses on innovative and interdisciplinary research aimed at mitigating the impact of climate change by reducing carbon emissions and their environmental impact. The journal serves as a dynamic platform for scientists, engineers, and policymakers, to collaborate on advancing Carbon Capture, Usage, and Storage (CCUS) technologies. Our goal is to foster breakthroughs that contribute to advance the understanding of CCUS strategies and to enable and accelerate their implementation. Special emphasis is placed on studies and analyses that help bridge the gap between discovery, innovation, and the large-scale implementation in CCUS technologies.

Cambridge Prisms: Energy Transitions aims to explore all aspects of energy systems, their complexity and how they are evolving over time. The journal will delve into the various technologies for energy generation, the evolution of energy systems and the relationship with those systems in terms of their transitions, applications, controls, and innovation. In particular, the journal is interested in the dynamics of the integration and interactions of these systems and implications for the future.