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1. Developing a Playbook of Equitable Grading Practices

   https://doi.org/10.1145/3649409.3691071  

   Edwards, Stephen H; Largent, David L; Schafer, Ben; Basu, Debarati; Dalal, Amy Csizmar; Garcia, Dan; Harrington, Brian; Lin, Kevin; Myers, Dan S; Roberson, Christian; et al (December 2024, ACM)
2. Think about the stakeholders first! Toward an algorithmic transparency playbook for regulatory compliance

   https://doi.org/10.1017/dap.2023.8  

   Bell, Andrew; Nov, Oded; Stoyanovich, Julia (January 2023, Data & Policy)

   Abstract Increasingly, laws are being proposed and passed by governments around the world to regulate artificial intelligence (AI) systems implemented into the public and private sectors. Many of these regulations address the transparency of AI systems, and related citizen-aware issues like allowing individuals to have the right to an explanation about how an AI system makes a decision that impacts them. Yet, almost all AI governance documents to date have a significant drawback: they have focused on what to do (or what not to do) with respect to making AI systems transparent, but have left the brunt of the work to technologists to figure out how to build transparent systems. We fill this gap by proposing a stakeholder-first approach that assists technologists in designing transparent, regulatory-compliant systems. We also describe a real-world case study that illustrates how this approach can be used in practice. 

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3. Automated Playbook for UAV Traffic Management Based on Spatiotemporal Scenario Data

   https://doi.org/10.1142/S2301385022500145  

   He, Chenyuan; Wan, Yan; Xie, Junfei (November 2021, Unmanned Systems)

   This paper develops a decision framework to automate the playbook for UAS traffic management (UTM) under uncertain environmental conditions based on spatiotemporal scenario data. Motivated by the traditional air traffic management (ATM) which uses the playbook to guide traffic using pre-validated routes under convective weather, the proposed UTM playbook leverages a database to store optimal UAS routes tagged with spatiotemporal wind scenarios to automate the UAS trajectory management. Our perspective is that the UASs, and many other modern systems, operate in spatiotemporally evolving environments, and similar spatiotemporal scenarios are tied with similar management decisions. Motivated by this feature, our automated playbook solution integrates the offline operations, online operations and a database to enable real-time UAS trajectory management decisions. The solution features the use of similarity between spatiotemporal scenarios to retrieve offline decisions as the initial solution for online fine tuning, which significantly shortens the online decision time. A fast query algorithm that exploits the correlation of spatiotemporal scenarios is utilized in the decision framework to quickly retrieve the best offline decisions. The online fine tuning adapts to trajectory deviations and subject to collision avoidance among UASs. The solution is demonstrated using simulation studies, and can be utilized in other applications, where quick decisions are desired and spatiotemporal environments play a crucial role in the decision process. 

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4. The Algorithmic Transparency Playbook: A Stakeholder-first Approach to Creating Transparency for Your Organization’s Algorithms

   https://doi.org/10.1145/3544549.3574169  

   Bell, Andrew; Nov, Oded; Stoyanovich, Julia (April 2023, 2023 CHI Conference on Human Factors in Computing Systems)
5. “Show Them the Playbook That These Companies Are Using”: Youth Voices about Why Computer Science Education Must Center Discussions of Power, Ethics, and Culturally Responsive Computing

   https://doi.org/10.1145/3660645  

   Ryoo, Jean J; Blunt, Takeria (September 2024, ACM Transactions on Computing Education)

   Culturally responsive computing (CRC), that centers sociopolitical issues and transformational uses of technology, has been described as valuable for increasing engagement with computing, especially for historically underrepresented minoritized students. But what do high school students think? Through a sociocultural lens prioritizing student voices recorded in 56 interviews over a period of 2 years (1–3 years after students’ first experience with computer science (CS) education through Exploring Computer Science or Advanced Placement CS Principles in high school), this study centers the perspectives of 39 primarily low-income, Latine and Black youth from urban California and rural Mississippi public schools to understand what they perceive as the role of technology in our world and what they subsequently desire of their computing education. While none have studied CRC before, the majority responded with CRC ideas about the kind of pedagogy they believe would make for a more meaningful computing learning experience: They see computing as a form of power that impacts both good and bad in the world and want computing educators to prepare them to take on these issues of equity, ethics, social responsibility, and underrepresentation in the field. The students’ perspectives offer important pedagogical insight into how to support deeper engagement with computing in current CS for All initiatives, while also preparing youth for the rapidly evolving and increasingly complex computing landscape that impacts all of our lives. 

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