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B. Biira

Publications and source records attributed to B. Biira.

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The Limits of Time

The LIMITS community was founded to foster conversations that move away from growth-oriented visions and values in computing toward a focus on long-term well-being. This orientation, we argue, inherently engages questions of time and temporality. Prior work has shown that temporal frameworks shape how futures are imagined, which problems are understood to be worth attending to, and which solutions or alternatives are pursued. We begin this paper with author observations of time in their lived experience, and then extend these observations to the LIMITS community. Through a systematic literature review of the last decade of LIMITS scholarship, we identify ways that explicit attention to how concepts of time and temporality are understood would enrich Limits scholarship. Within the LIMITS scholarship that does engage with time, we identify five recurring types of temporal engagement: computing time, methodological and design time, politics and ethics of time, biological and ecological time, and afterlife and waste time. Together, these engagement types highlight how implicit assumptions about time are embedded across research practices, design approaches, and accounts of technological impact within LIMITS work. We discuss these findings in relation to cross-disciplinary scholarship that takes time as an analytic concern and consider how these patterns point to a broader need for more explicit, plural, and situated engagements with time in the LIMITS community, and why this matters for the community's commitments.

cs.OH

African Data Ethics: A Discursive Framework for Black Decolonial Data Science

The shift towards pluralism in global data ethics acknowledges the importance of including perspectives from the Global Majority to develop responsible data science practices that mitigate systemic harms in the current data science ecosystem. Sub-Saharan African (SSA) practitioners, in particular, are disseminating progressive data ethics principles and best practices for identifying and navigating anti-blackness and data colonialism. To center SSA voices in the global data ethics discourse, we present a framework for African data ethics informed by the thematic analysis of an interdisciplinary corpus of 50 documents. Our framework features six major principles: 1) Challenge Power Asymmetries, 2) Assert Data Self-Determination, 3) Invest in Local Data Institutions & Infrastructures, 4) Utilize Communalist Practices, 5) Center Communities on the Margins, and 6) Uphold Common Good. We compare our framework to seven particularist data ethics frameworks to find similar conceptual coverage but diverging interpretations of shared values. Finally, we discuss how African data ethics demonstrates the operational value of data ethics frameworks. Our framework highlights Sub-Saharan Africa as a pivotal site of responsible data science by promoting the practice of communalism, self-determination, and cultural preservation.

cs.CY