Workshop on Trustworthy Algorithmic Decision-Making

算法越来越多地被用于做出影响人们的决策的系统中，包括过滤我们看到的新闻和更新、为商品设定价格、为简历和信用申请打分、推荐路线和地点，以及控制智能家居和自动驾驶汽车。当算法做出这些决定时，我们自然会问我们是否应该信任它们，何时以及为什么应该信任它们，并考虑如何提高它们的可信度。为此，研究人员、监管机构和行业越来越多地呼吁采用审计和核算算法决策的方法，以确保其透明度和公平性。这个项目的目标是整合这些观点，将设计和研究这些算法的人聚集在一起，进行为期两天的研讨会，以展示算法可信度的问题空间和可能的前进方向。研讨会的组织者将强调视角的多样性，招募来自不同学科、工作和背景的参与者，特别关注将代表不足的群体的人纳入计算机和博士生。重点将是通过将致力于问题的不同方面和不同领域的研究人员、设计师和政策制定者聚集在一起，开发关于算法决策的跨学科和趋同的观点，目标是整合他们的想法，以更大程度地了解这些算法在社会中的可信度这一更大的问题。主要输出将是一份报告，描述值得信赖的算法决策的问题空间，概述需要研究的主要问题，以推动这些算法及其做出的决定朝着值得信赖的方向发展，并确定研究这些问题的有希望的机会和方法。它还将确定将使在这些问题上取得进展变得困难的一些主要挑战和制约因素，并将进一步讨论如何克服这些挑战。除报告外，与会者还将制作一套白皮书，说明这一问题的重要方面，以及与会者的回应和其他反思。

Algorithms are increasingly being used in systems that make decisions that affect people, including filtering news and updates we see, setting prices for items, scoring resumes and credit applications, recommending routes and places, and controlling smart homes and autonomous cars. As algorithms make these decisions, it is natural to ask whether, when, and why we should trust them, and to consider ways to improve their trustworthiness. To this end, researchers, regulators, and industry have increasingly called for methods to audit and account for algorithmic decisions to ensure their transparency and fairness. This project's goal is to integrate these perspectives, bringing together people who design and study these algorithms for a two-day workshop to lay out the problem space and possible ways forward for algorithmic trustworthiness. The workshop organizers will emphasize diversity of perspectives, recruiting participants from a wide variety of disciplines, jobs, and backgrounds with a particular focus on including people from underrepresented groups in computing and PhD students. The focus will be on developing interdisciplinary and convergent perspectives on algorithmic decision-making by bringing together researchers, designers, and policy-makers working on different aspects of the problem and different domains, with the goal of integrating their ideas to get a bigger picture of the larger question of trustworthiness of these algorithms in society. The main output will be a report describing the problem space of trustworthy algorithmic decision-making, outlining the major issues that need research to move these algorithms and the decisions they make toward being trustworthy, and identifying promising opportunities and approaches for studying these issues. It will also identify some of the major challenges and constraints that will make progress on these issues difficult, and will further the discussion of moving past these challenges. In addition to the report, the participants will produce a set of whitepapers that will illuminate important aspects of this problem, along with responses and additional reflections by attendees.