In the face of rapidly advancing technologies, evidence of harms they can exacerbate, and insufficient policy to ensure accountability from tech companies, what are HCI opportunities for advancing policymaking of technology? In this paper, we explore challenges and opportunities for tech policymaking through a case study of app-based rideshare driving. We begin with background on rideshare platforms and how they operate. Next, we review literature on algorithmic management about how rideshare drivers actually experience platform features -- often to the detriment of their well-being -- and ways they respond. In light of this, researchers and advocates have called for increased worker protections, thus we turn to rideshare policy and regulation efforts in the U.S. Here, we differentiate the political strategies of platforms with those of drivers to illustrate the conflicting narratives policymakers face when trying to oversee gig work platforms. We reflect that past methods surfacing drivers' experiences may be insufficient for policymaker needs when developing oversight. To address this gap and our original inquiry -- what are HCI opportunities for advancing tech policymaking -- we briefly explore two paths forward for holding tech companies accountable in the rideshare context: (1) data transparency initiatives to enable collective auditing by workers and (2) legal frameworks for holding platforms accountable.

翻译：面对技术的飞速发展、技术可能加剧危害的证据以及确保科技公司问责的政策不足，人机交互领域在推进技术政策制定方面存在哪些机遇？本文通过基于应用程序的网约车驾驶案例研究，探讨技术政策制定面临的挑战与机遇。我们首先概述网约车平台的背景及其运营模式。接着，我们回顾有关算法管理的文献，探讨网约车司机如何实际体验平台功能——通常对其福祉产生负面影响——以及他们的应对方式。鉴于此，研究人员和倡导者呼吁加强劳动者保护，因此我们将视角转向美国的网约车政策与监管实践。在此，我们区分平台与司机的政治策略，以阐明政策制定者在试图监管零工平台时面临的相互冲突的叙事。我们反思认为，过去揭示司机体验的方法在制定监管政策时可能无法满足政策制定者的需求。为填补这一空白并回应我们的核心问题——人机交互在推进技术政策制定方面存在哪些机遇——我们简要探讨在网约车背景下实现科技公司问责的两条路径：(1) 通过数据透明化倡议实现劳动者集体审计；(2) 建立追究平台责任的法律框架。