The conference, interrogated how an intercultural approach to ethics can inform the processes of conceiving, designing, and regulating artificial intelligence (AI). It was the first in a series of biennial events organised by the Leverhulme Centre for the Future of Intelligence at the University of Cambridge and the Center for Science and Thought at the University of Bonn, supported by Stiftung Mercator. You can read more about the event here.
The online repository is a curated collection of presentation abstracts and recordings, documenting the range of topics covered during the conference: from the ethics of ‘generative’ AI to legal frameworks for facial recognition, from colonial histories of technology development in India to contemporary patterns of discrimination perpetuated by AI systems in the US, from Buddhist approaches to technology ethics to Indigenous perspectives on AI.
The online repository allows visitors to search for specific presentations and abstracts by region (e.g. “the Middle East and North Africa” or “South America”), country (e.g. “China” or “Brazil”), stakeholder group (e.g. “policymakers” or “designers/developers”), or by a specialist theme – such as “Indigenous perspectives,” “biometrics,” “generative AI,” or “speculative design.”
The website is meant to serve a broad range of users – including, but not limited to, computer scientists and technologists who would like to incorporate an intercultural ethics approach in their development work, lawyers and policymakers interested in international/intercultural dimensions of AI governance and the geopolitics of AI, as well as digital artists and designers looking for cross-cultural collaborations.
The presentations have been organised into four broader categories:
Design and Development: This category explores how to responsibly design, develop, and deploy AI systems, while acknowledging and drawing on ontological, epistemological, and axiological differences between different groups and societies. Some presentations also capture the efforts to decolonise AI systems and resist discriminatory practices and ideologies in AI development.
Philosophy / Fundamental Questions: This section unpacks particular principles, values, and fundamental concepts that shape the contemporary understanding of AI as well as the ethics of AI, acknowledging potential disagreements between different worldviews and highlighting the need for a plurality of visions for ethical frameworks for responsible AI. Presentations in this category discuss how different philosophical stances, religious values, and Indigenous perspectives or anti-discriminatory approaches can inform the ethical scaffolding for AI development.
Policy and Governance: Presentations in this category discuss how legal frameworks and policy guidelines for AI development and deployment are entangled with geopolitical power, how AI systems can inhibit civil rights or undermine human rights, and how community-based and participatory approaches to AI design can allow for more equitable technological futures.
Art / History / Narratives: Presentations in this category highlight the histories that make and remake AI and data-driven systems, contemporary narratives that shape public perceptions of such systems, as well as artistic interventions as a form of response or resistance to AI. The presentations tie the critique of machine learning and data collection practices to the discussion of different socio-technical imaginaries, as well as longer histories of nationalism and colonialism, and present-day climate politics and global power relations. They speak to the relevance of history, art, and digital humanities to the question of responsible AI development.
You can view the proceedings website HERE. Please email desirableAI@lcfi.cam.ac.uk if you have any questions.