Track A: ‘AI’ as a knowledge-making power in the majority worlds
In track A we investigate digital powers as knowledge making powers: who has it, what does this mean for the thriving of knowledge practices world wide, and how should rules makers respond?
The governance of ‘AI’ as a knowledge-making power comes with system-level challenges that are not well addressed by existing governance frameworks, or emerging technology regulation. This for example includes the marginalization, exclusion, or colonization of knowledge communities and types of expertise, and oppressive norm setting. Think also about the room for experimentation given to digital tech, in comparison with other forms of knowledge making (e.g., medical research).
Among legal expressions of this lack of address are the regulatory focus on AI applications rather than its development, on outcomes of automated decisions rather than on fair and insightful processes, and on individual legal redress rather than on protecting relationally situated interests. This track looks at such choices in relation to how AI knowledge making powers have been allowed to remain in the hands of a small group of highly local, resourceful, and non-diverse parties, and how (this) epistemic dominance supports other forms of structural oppression.
This track invites contributions that address the knowledge related dimensions of AI specifically. We especially encourage people who engage with the following themes to apply for this track:
- Exploring relations of Epistemic In/Justice, AI, and the governance of technology.
- Conceptual and definitional discussions around AI (including anthropomorphizing).
- Indigenous forms of knowledge and the coloniality of AI development and deployment.
- Language discrimination in the construction of AI: Implications for knowledge and world-making.
- Structural discrimination (Caste, Class, Race) in AI repeating in AI governance.
- Feminist and other AI methodologies to further data justice and/or epistemic justice.
- Subjecting people in/to digital experimentation.
- Land, climate injustice and questions of extraction in AI development.
- Interdisciplinary challenges for researching and governing AI as a knowledge-making power.
- The trustworthiness of AI, focusing on processes of generation.
Deadline for submitting extended abstracts and proposals for panels/interactive workshops via the EasyChair conference system: January 31, 2024
For questions about possible presentations for this track, please contact Dr. Aviva de Groot: aviva.degroot@tilburguniversity.edu