Aware is a web application that helps Facebook users retrieve their personal data, understand their Facebook activity, and adjust their privacy settings. Our team was inspired to create Aware because we noticed that young adults do not understand their Facebook data and how to protect it, despite their deep concern for information privacy. Aware solves this problem by helping Facebook users make sense of various personal data, including ads, groups, politics, and interests information, and helping them manage their privacy settings. Our hope is that through Aware, users experience a greater sense of safety and control over their Facebook experience.

Over the past ten years, tensions have grown between libraries and the publishing industry as eBooks have become more popular and as eBook costs have risen. As library workers, we are motivated by the core mission of libraries to provide access to information, which is threatened by current licensing models. In this project, we assess the current practices and power imbalances in eBook licensing through interviews with 40 stakeholders. Our research suggests that legislation is one of many possible strategies to achieve a sustainable and equitable system of access to information for future generations.

Your library needs its own Climate Action Plan now. Few North American libraries undertake proprietary climate action planning. LibCAPs is a simple guide to help libraries develop and implement their own Climate Action Plans (CAPs). LibCAPS synthesizes climate policy research, government agency guidelines, domestic and international climate action plan templates, library responses to climate change, and incorporates climate risk assessment tools. LibCAPs provides: Best Practices for writing and implementing CAPs Recommended risk assessment and modelling tools Roadmaps for actionable tasks Examples of collaboration Advocacy guidance for funding Policy ideas for your library and local government

Academic research materials are a key resource for students and educators. Authorized actions - for example, making digital or print copies, scholarly sharing with colleagues, or disseminating works to other libraries (interlibrary loan) - are described in their legal licenses. For this project, we reviewed, amended, and categorized 698 licenses and legal materials in order to assist students, faculty, and staff in utilizing content in their academic research. With the conclusion of this project, the updated Alma database will better inform individuals on matters of Fair Use, Data Privacy, and Accessibility.

Plurality is a safe and welcoming platform providing a space for political dialogue to bridge partisan divides. Based in research demonstrating the power of storytelling to elicit empathy, Plurality allows users to share and learn about diverse perspectives through first hand accounts. Plurality encourages users to see people as more than their political party and seeks to ameliorate the current environment of hyper-partisanship.

To establish trust between the public and the Seattle Police Department (SPD), it is imperative that there is accountability and transparency with SPD’s processes and procedures. In this project, we build a machine learning model that can be used to predict and audit adequate Use of Force (UOF) by officers based on the nature of a dispatch event. The model developed through this project can serve as a tool for the SPD to identify and understand deviance from regular trends to guide police training and will also help to identify whether UOF is being accurately reported.

Current discussions about ethical use of artificial intelligence for cultural heritage focus on bias, privacy, and surveillance. This paper illustrates how ethics of heritage AI should expand beyond those themes into broader human and environmental exploitation AI causes that put it at odds with efforts toward decolonization. This paper suggests a holistic, interdisciplinary approach that examines the broader effects of AI used for heritage work and focuses on AI that is used for collections and exhibits. It focuses on AI use by heritage organizations such as libraries, museums, and archives, in addition to non-heritage groups participating in heritage work.