4 research outputs found
A Multistakeholder Approach Towards Evaluating AI Transparency Mechanisms
Given that there are a variety of stakeholders involved in, and affected by,
decisions from machine learning (ML) models, it is important to consider that
different stakeholders have different transparency needs. Previous work found
that the majority of deployed transparency mechanisms primarily serve technical
stakeholders. In our work, we want to investigate how well transparency
mechanisms might work in practice for a more diverse set of stakeholders by
conducting a large-scale, mixed-methods user study across a range of
organizations, within a particular industry such as health care, criminal
justice, or content moderation. In this paper, we outline the setup for our
study.Comment: Accepted to CHI 2021 Workshop on Operationalizing Human-Centered
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We are the Change that we Seek: Information Interactions During a Change of Viewpoint
There has been considerable hype about filter bubbles and echo chambers influencing the views of information consumers. The fear is that these technologies are undermining democracy by swaying opinion and creating an uninformed, polarised populace. The literature in this space is mostly techno-centric, addressing the impact of technology. In contrast, our work is the first research in the information interaction field to examine changing viewpoints from a human-centric perspective. It provides a new understanding of view change and how we might support informed, autonomous view change behaviour. We interviewed 18 participants about a self-identified change of view, and the information touchpoints they engaged with along the way. In this paper we present the information types and sources that informed changes of viewpoint, and the ways in which our participants interacted with that information. We describe our findings in the context of the techno-centric literature and suggest principles for designing digital information environments that support user autonomy and reflection in viewpoint formation