arXiv subjects

Richmond Wong

Publications and source records attributed to Richmond Wong.

3 recordsLinked to original sources

arXiv2026

Governing Together: Toward Infrastructure for Community-Run Social Media

Decentralizing the governance of social computing systems to communities promises to empower them to make independent decisions, with nuance and in accordance with their values. Yet, communities do not govern in isolation. Many problems communities face are common, or move across their boundaries. We therefore propose designing for "inter-community governance:" mechanisms that support relationships and interactions between communities to coordinate on governance issues. Drawing from workshops with 24 individuals on decentralized, community-run social media, we present six challenges in designing for inter-community governance surfaced through ideas proposed in workshops. Together, these ideas come together as an ecosystem of resources, infrastructures, and tools that highlight three key principles for designing for inter-community governance: modularity, forkability, and polycentricity. We end with a discussion of how the ideas proposed in workshops might be implemented in future work aiming to support community governance in social computing systems broadly.

cs.HC↗

arXiv2024

Thinking Upstream: Ethics and Policy Opportunities in AI Supply Chains

After children were pictured sewing its running shoes in the early 1990s, Nike at first disavowed the "working conditions in its suppliers' factories", before public pressure led them to take responsibility for ethics in their upstream supply chain. In 2023, OpenAI responded to criticism that Kenyan workers were paid less than $2 per hour to filter traumatic content from its ChatGPT model by stating in part that it had outsourced the work to a subcontractor, who managed workers' payment and mental health concerns. In this position paper, we argue that policy interventions for AI Ethics must consider AI as a supply chain problem, given how the political economy and intra-firm relations structure AI production, in particular examining opportunities upstream.

cs.CY↗

arXiv2018

A Window into the Soul: Biosensing in Public

Biosensed information represents an emerging class of data with the potential for massive, systematic, and remote or casual collection of personal information about people. Biosensors capture physiological signals in addition to kinesthetic data to draw intimate inferences about individuals' mental states. The proliferation of sensors makes detection, interpretation, and inference of these previously subtle - or otherwise invisible - emotional and physiological signals possible from proximate and remote locations. These sensors pose unprecedented challenges to individual privacy in public through remote, precise, and passively collected data. This paper examines the unique nature and inferential potential of biosensed data by creating a taxonomy of signals that may be collected remotely, via casual contact, or from traces left behind, and considers how these data may be collected and used to create novel privacy concerns - particularly in public. Since biosignals may often be deduced from visual data, this paper uses historic and recent photography cases to explore how social norms evolved in response to remote collection in public. A contextual integrity privacy heuristic is then used to probe the need for new norms and remedies specifically for biosensing privacy threats. This analysis examines the extensibility of relevant legal frameworks in the European Union (EU) and United States (US) as a privacy remedy, and conclude with a brief outline of possible legal or social remedies that may address privacy needs in public with biosensing technologies.

cs.CY↗