Nothing Special   »   [go: up one dir, main page]

skip to main content
10.1145/3593013.3594090acmotherconferencesArticle/Chapter ViewAbstractPublication PagesfacctConference Proceedingsconference-collections
research-article
Open access

Navigating the Audit Landscape: A Framework for Developing Transparent and Auditable XR

Published: 12 June 2023 Publication History

Abstract

“Extended reality” (XR) systems work to blend the physical and digital worlds. This means that XR is highly contextual: its functionality, operation and therefore consequences are driven by a tight, run-time coupling of the technology, the user, and their physical environment. It follows that XR brings particular challenges regarding transparency and accountability, given that it can be difficult to foresee and mitigate all potential issues that might arise from using such systems, given their many potential contexts of use. Further, the physicality of XR can directly result in injury, property damage, or worse, in addition to the more traditionally discussed harms arising from algorithmic systems. Therefore the ability to audit the operation of XR systems is paramount – where information revealing and enabling some reconstruction of an XR system’s use, run-time behaviour, and surrounding context is important for understanding and scrutinising what happens/happened, and why.
Towards this, we present a framework to support those involved in developing XR systems to make them more auditable. The framework focuses on supporting the building and instrumentation of an XR system for transparency aims, elaborating key considerations regarding the capture and management of audit data during system operation. We demonstrate the framework’s efficacy with expert XR developers, who indicate the utility and need for such in practice. In all, we provide practical ways forward on, as well as seek to draw attention to, XR transparency and accountability.

References

[1]
Surin Ahn, Maria Gorlatova, Parinaz Naghizadeh, Mung Chiang, and Prateek Mittal. 2018. Adaptive Fog-Based Output Security for Augmented Reality. In Proceedings of the 2018 Morning Workshop on Virtual Reality and Augmented Reality Network (Budapest, Hungary) (VR/AR Network ’18). Association for Computing Machinery, New York, NY, USA, 1–6. https://doi.org/10.1145/3229625.3229626
[2]
Karan Ahuja, Eyal Ofek, Mar Gonzalez-Franco, Christian Holz, and Andrew D. Wilson. 2021. CoolMoves: User Motion Accentuation in Virtual Reality. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5, 2, Article 52 (June 2021). https://doi.org/10.1145/3463499
[3]
Hasaneen Fathy Al Janabi, Abdullatif Aydin, Sharanya Palaneer, Nicola Macchione, Ahmed Al-Jabir, Muhammad Shamim Khan, Prokar Dasgupta, and Kamran Ahmed. 2020. Effectiveness of the HoloLens Mixed-Reality Headset in Minimally Invasive Surgery: A Simulation-Based Feasibility Study. Surgical Endoscopy 34, 3 (2020), 1143–1149.
[4]
Mike Ananny and Kate Crawford. 2018. Seeing Without Knowing: Limitations of the Transparency Ideal and its Application to Algorithmic Accountability. New Media and Society 20, 3 (2018), 973–989. https://doi.org/10.1177/1461444816676645
[5]
McKane Andrus and Sarah Villeneuve. 2022. Demographic-Reliant Algorithmic Fairness: Characterizing the Risks of Demographic Data Collection in the Pursuit of Fairness. In 2022 ACM Conference on Fairness, Accountability, and Transparency (Seoul, Republic of Korea) (FAccT ’22). Association for Computing Machinery, New York, NY, USA, 1709–1721. https://doi.org/10.1145/3531146.3533226
[6]
Tanzirul Azim and Iulian Neamtiu. 2013. Targeted and Depth-First Exploration for Systematic Testing of Android Apps. In Proceedings of the 2013 ACM SIGPLAN international conference on Object oriented programming systems languages & applications. 641–660.
[7]
Aaron Bangor, Philip Kortum, and James Miller. 2009. Determining What Individual SUS Scores Mean: Adding an Adjective Rating Scale. Journal of usability studies 4, 3 (2009), 114–123.
[8]
BBC Worldwide. 2017. Bear Island. https://www.oculus.com/experiences/rift/1228652173894654. Accessed: 2023-05-09.
[9]
Mafkereseb Kassahun Bekele, Roberto Pierdicca, Emanuele Frontoni, Eva Savina Malinverni, and James Gain. 2018. A Survey of Augmented, Virtual, and Mixed Reality for Cultural Heritage. Journal on Computing and Cultural Heritage (JOCCH) 11, 2 (2018), 1–36.
[10]
Umang Bhatt, Alice Xiang, Shubham Sharma, Adrian Weller, Ankur Taly, Yunhan Jia, Joydeep Ghosh, Ruchir Puri, José M. F. Moura, and Peter Eckersley. 2020. Explainable Machine Learning in Deployment. In Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency (Barcelona, Spain) (FAT* ’20). Association for Computing Machinery, New York, NY, USA, 648–657. https://doi.org/10.1145/3351095.3375624
[11]
Lindsay Blackwell, Nicole Ellison, Natasha Elliott-Deflo, and Raz Schwartz. 2019. Harassment in Social Virtual Reality: Challenges for Platform Governance. Proceedings of the ACM on Human-Computer Interaction 3, CSCW (2019), 1–25.
[12]
Boeing. 2018. Boeing Tests Augmented Reality in the Factory. https://webcache.googleusercontent.com/search?q=cache:GJxEUfXolpgJ:https://www.boeing.com/features/2018/01/augmented-reality-01-18.page. Accessed: 2023-05-09.
[13]
Mark Bovens. 2006. Analysing and Assessing Public Accountability. A Conceptual Framework. European Governance PapersC-06-012006 (2006).
[14]
Mark Bovens. 2010. Two Concepts of Accountability: Accountability as a Virtue and as a Mechanism. West European Politics 33, 5 (2010), 946–967. https://doi.org/10.1080/01402382.2010.486119
[15]
Doug A Bowman and Ryan P McMahan. 2007. Virtual Reality: How Much Immersion is Enough?Computer 40, 7 (2007), 36–43.
[16]
Karen Boyd. 2022. Designing Up with Value-Sensitive Design: Building a Field Guide for Ethical ML Development. In 2022 ACM Conference on Fairness, Accountability, and Transparency (Seoul, Republic of Korea) (FAccT ’22). Association for Computing Machinery, New York, NY, USA, 2069–2082. https://doi.org/10.1145/3531146.3534626
[17]
Virginia Braun and Victoria Clarke. 2006. Using Thematic Analysis in Psychology. Qualitative Research in Psychology 3, 2 (2006), 77–101.
[18]
John Brooke. 1996. SUS-A Quick and Dirty Usability Scale. Usability evaluation in industry 189, 194 (1996), 4–7.
[19]
Chu Cao, Zhenjiang Li, Pengfei Zhou, and Mo Li. 2018. Amateur: Augmented Reality Based Vehicle Navigation System. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2, 4, Article 155 (Dec. 2018). https://doi.org/10.1145/3287033
[20]
Po-Hsuan Cameron Chen, Krishna Gadepalli, Robert MacDonald, Yun Liu, Shiro Kadowaki, Kunal Nagpal, Timo Kohlberger, Jeffrey Dean, Greg S Corrado, Jason D Hipp, 2019. An Augmented Reality Microscope with Real-Time Artificial Intelligence Integration for Cancer Diagnosis. Nature medicine 25, 9 (2019), 1453–1457.
[21]
Yan Chen, Steve Oney, and Walter S. Lasecki. 2016. Towards Providing On-Demand Expert Support for Software Developers. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (San Jose, California, USA) (CHI ’16). Association for Computing Machinery, New York, NY, USA, 3192–3203. https://doi.org/10.1145/2858036.2858512
[22]
Wontae Choi, George Necula, and Koushik Sen. 2013. Guided GUI Testing of Android Apps with Minimal Restart and Approximate Learning. Acm Sigplan Notices 48, 10 (2013), 623–640.
[23]
Bonnie Christian. 2017. HoloLens Trial Gives Doctors ‘X-Ray Vision’ to Allow Them to Peer inside Patients during Surgery. Wired UK (March 2017).
[24]
Richard Cloete, Chris Norval, and Jatinder Singh. 2020. A Call for Auditable Virtual, Augmented and Mixed Reality. In 26th ACM Symposium on Virtual Reality Software and Technology (Virtual Event, Canada) (VRST ’20). Association for Computing Machinery, New York, NY, USA, Article 16. https://doi.org/10.1145/3385956.3418960
[25]
Richard Cloete, Chris Norval, and Jatinder Singh. 2022. Auditable Augmented/Mixed/Virtual Reality: The Practicalities of Mobile System Transparency. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5, 4, Article 149 (Dec 2022). https://doi.org/10.1145/3495001
[26]
Jennifer Cobbe, Michelle Seng Ah Lee, and Jatinder Singh. 2021. Reviewable Automated Decision-Making: A Framework for Accountable Algorithmic Systems. In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency (Virtual Event, Canada) (FAccT ’21). Association for Computing Machinery, New York, NY, USA, 598–609. https://doi.org/10.1145/3442188.3445921
[27]
Amanda Coston, Alan Mishler, Edward H. Kennedy, and Alexandra Chouldechova. 2020. Counterfactual Risk Assessments, Evaluation, and Fairness. In Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency (Barcelona, Spain) (FAT* ’20). Association for Computing Machinery, New York, NY, USA, 582–593. https://doi.org/10.1145/3351095.3372851
[28]
Maria De-Arteaga, Alexey Romanov, Hanna Wallach, Jennifer Chayes, Christian Borgs, Alexandra Chouldechova, Sahin Geyik, Krishnaram Kenthapadi, and Adam Tauman Kalai. 2019. Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting. In Proceedings of the Conference on Fairness, Accountability, and Transparency (Atlanta, GA, USA) (FAT* ’19). Association for Computing Machinery, New York, NY, USA, 120–128. https://doi.org/10.1145/3287560.3287572
[29]
Wesley Hanwen Deng, Manish Nagireddy, Michelle Seng Ah Lee, Jatinder Singh, Zhiwei Steven Wu, Kenneth Holstein, and Haiyi Zhu. 2022. Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits. In 2022 ACM Conference on Fairness, Accountability, and Transparency (Seoul, Republic of Korea) (FAccT ’22). Association for Computing Machinery, New York, NY, USA, 473–484. https://doi.org/10.1145/3531146.3533113
[30]
Nicholas Diakopoulos. 2016. Accountability in Algorithmic Decision Making. Commun. ACM 59, 2 (Jan. 2016), 56–62. https://doi.org/10.1145/2844110
[31]
European Commission. 2021. Proposal for a Regulation Laying Down Harmonised Rules on Artificial Intelligence (Artificial Intelligence Act). https://digital-strategy.ec.europa.eu/en/library/proposal-regulation-laying-down-harmonised-rules-artificial-intelligence-artificial-intelligence Accessed: 2023-05-09.
[32]
European Union. 2016. Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the Protection of Natural Persons with Regard to the Processing of Personal Data and on the Free Movement of Such Data, and Repealing Directive 95/46/EC (General Data Protection Regulation). Official Journal of the European Union L119 (4 May 2016), 1–88.
[33]
European Union. 2017. Regulation (EU) 2017/745 of the European Parliament and of the Council of 5 April 2017 on Medical Devices, Amending Directive 2001/83/EC, Regulation (EC) No 178/2002 and Regulation (EC) No 1223/2009 and Repealing Council Directives 90/385/EEC and 93/42/EEC. Official Journal of the European Union L117 (5 Apr 2017), 1–228.
[34]
Felix & Paul Studios. 2017. The People’s House. https://www.oculus.com/experiences/rift/1258599840927577. Accessed: 2023-05-09.
[35]
Simson Garfinkel, Jeanna Matthews, Stuart S. Shapiro, and Jonathan M. Smith. 2017. Toward Algorithmic Transparency and Accountability. Commun. ACM 60, 9 (Aug 2017), 5. https://doi.org/10.1145/3125780
[36]
Timnit Gebru, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan, Hanna Wallach, Hal Daumé III, and Kate Crawford. 2021. Datasheets for Datasets. Commun. ACM 64, 12, 86–92. https://doi.org/10.1145/3458723
[37]
Trystan S. Goetze. 2022. Mind the Gap: Autonomous Systems, the Responsibility Gap, and Moral Entanglement. In 2022 ACM Conference on Fairness, Accountability, and Transparency (Seoul, Republic of Korea) (FAccT ’22). Association for Computing Machinery, New York, NY, USA, 390–400. https://doi.org/10.1145/3531146.3533106
[38]
Lorenzo Gomez, Iulian Neamtiu, Tanzirul Azim, and Todd Millstein. 2013. Reran: Timing-and Touch-Sensitive Record and Replay for Android. In 2013 35th International Conference on Software Engineering (ICSE). IEEE, 72–81.
[39]
Google Maps. 2019. Introducing Live View, the New Augmented Reality Feature in Google Maps. https://support.google.com/maps/thread/11554255?hl=en. Accessed: 2023-05-09.
[40]
Alex Hadwick. 2019. VRX Industry Insight Report 2019-2020. https://s3.amazonaws.com/media.mediapost.com/uploads/VRXindustryreport.pdf. Accessed: 2023-05-09.
[41]
Matthew Halpern, Yuhao Zhu, Ramesh Peri, and Vijay Janapa Reddi. 2015. Mosaic: Cross-Platform User-Interaction Record and Replay for the Fragmented Android Ecosystem. In 2015 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS). IEEE, 215–224.
[42]
Jude D Hemanth, Utku Kose, Omer Deperlioglu, and Victor Hugo C de Albuquerque. 2020. An Augmented Reality-Supported Mobile Application for Diagnosis of Heart Diseases. The Journal of Supercomputing 76, 2 (2020), 1242–1267.
[43]
Melanie Herschel, Ralf Diestelkämper, and Houssem Ben Lahmar. 2017. A Survey on Provenance: What For? What Form? What From?The VLDB Journal 26 (2017), 881–906.
[44]
HM Government. 2019. Online Harms White Paper. Technical Report. 1–102 pages. https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/793360/Online_Harms_White_Paper.pdf
[45]
HTC. 2021. HTC Vive Health and Safety. https://www.htc.com/eu/sunrise-safety-guide/. Accessed: 2023-05-09.
[46]
Gang Hu, Xinhao Yuan, Yang Tang, and Junfeng Yang. 2014. Efficiently, Effectively Detecting Mobile App Bugs with Appdoctor. In Proceedings of the Ninth European Conference on Computer Systems. 1–15.
[47]
Yongjian Hu, Tanzirul Azim, and Iulian Neamtiu. 2015. Versatile Yet Lightweight Record-and-Replay for Android. In Proceedings of the 2015 ACM SIGPLAN International Conference on Object-Oriented Programming, Systems, Languages, and Applications. 349–366.
[48]
Ben Hutchinson, Andrew Smart, Alex Hanna, Emily Denton, Christina Greer, Oddur Kjartansson, Parker Barnes, and Margaret Mitchell. 2021. Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure. In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency. 560–575.
[49]
XR Safety Initiative. 2020. The XRSI Privacy Framework, version 1.0. https://xrsi.org/wp-content/uploads/2020/09/XRSI-Privacy-Framework-v1_003.pdf. Accessed: 2023-05-09.
[50]
XR Safety Initiative. 2021. An Imperative: Developing Standards for Safety and Security in XR Environments. https://xrsi.org/wp-content/uploads/2021/02/An-Imperative-Emteq-XRSI-Whitepaper-on-Standards-for-safety-and-Security.pdf. Accessed: 2023-05-09.
[51]
Shubham Jain, Carlo Borgiattino, Yanzhi Ren, Marco Gruteser, and Yingying Chen. 2014. On the Limits of Positioning-Based Pedestrian Risk Awareness. In Proceedings of the 2014 workshop on Mobile augmented reality and robotic technology-based systems. 23–28.
[52]
Suman Jana, David Molnar, Alexander Moshchuk, Alan Dunn, Benjamin Livshits, Helen J. Wang, and Eyal Ofek. 2013. Enabling Fine-Grained Permissions for Augmented Reality Applications with Recognizers. In 22nd USENIX Security Symposium (USENIX Security 13). USENIX Association, Washington, D.C., 415–430. https://www.usenix.org/conference/usenixsecurity13/technical-sessions/presentation/jana
[53]
Seyyed Ahmad Javadi, Richard Cloete, Jennifer Cobbe, Michelle Seng Ah Lee, and Jatinder Singh. 2020. Monitoring Misuse for Accountable ‘Artificial Intelligence as a Service’. In Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society. 300–306.
[54]
Seyyed Ahmad Javadi, Chris Norval, Richard Cloete, and Jatinder Singh. 2021. Monitoring AI Services for Misuse. In Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society. 597–607.
[55]
Sarah Jones, Alexander Ball, and Çuna Ekmekcioglu. 2008. The Data Audit Framework: A First Step in the Data Management Challenge. International Journal of Digital Curation 3, 2 (2008), 112–120.
[56]
Sarah Jones, Seamus Ross, and Raivo Ruusalepp. 2018. The Data Audit Framework: A Toolkit to Identify Research Assets and Improve Data Management in Research Led Institutions. In iPRES 2008.
[57]
S Jones, S Ross, R Ruusalepp, and M Dobreva. 2009. Data Audit Framework Methodology. https://www.data-audit.eu/DAF_Methodology.pdf., 70 pages. Accessed: 2023-05-09.
[58]
J. Jung, H. Lee, J. Choi, A. Nanda, U. Gruenefeld, T. Stratmann, and W. Heuten. 2018. Ensuring Safety in Augmented Reality from Trade-off Between Immersion and Situation Awareness. In 2018 IEEE International Symposium on Mixed and Augmented Reality (ISMAR). 70–79. https://doi.org/10.1109/ISMAR.2018.00032
[59]
Ryan K. L. Ko, Bu Sung Lee, and Siani Pearson. 2011. Towards Achieving Accountability, Auditability and Trust in Cloud Computing. In Advances in Computing and Communications, Ajith Abraham, Jaime Lloret Mauri, John F. Buford, Junichi Suzuki, and Sabu M. Thampi (Eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, 432–444.
[60]
P. M. Krafft, Meg Young, Michael Katell, Jennifer E. Lee, Shankar Narayan, Micah Epstein, Dharma Dailey, Bernease Herman, Aaron Tam, Vivian Guetler, Corinne Bintz, Daniella Raz, Pa Ousman Jobe, Franziska Putz, Brian Robick, and Bissan Barghouti. 2021. An Action-Oriented AI Policy Toolkit for Technology Audits by Community Advocates and Activists. In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency (Virtual Event, Canada) (FAccT ’21). Association for Computing Machinery, New York, NY, USA, 772–781. https://doi.org/10.1145/3442188.3445938
[61]
Joshua A. Kroll, Joanna Huey, Solon Barocas, Edward W. Felten, Joel R. Reidenberg, David G. Robinson, and Harlan Yu. 2017. Accountable Algorithms. University of Pennsylvania Law Review 165, 3 (Feb. 2017), 633–705.
[62]
Joshua A Kroll. 2021. Outlining Traceability: A Principle for Operationalizing Accountability in Computing Systems. In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency. 758–771.
[63]
Kiron Lebeck, Tadayoshi Kohno, and Franziska Roesner. 2016. How to Safely Augment Reality: Challenges and Directions. In Proceedings of the 17th International Workshop on Mobile Computing Systems and Applications. 45–50.
[64]
Kiron Lebeck, Kimberly Ruth, Tadayoshi Kohno, and Franziska Roesner. 2017. Securing Augmented Reality Output. In 2017 IEEE Symposium on Security and Privacy (SP). IEEE, San Jose, CA, USA, 320–337. https://doi.org/10.1109/SP.2017.13
[65]
Kiron Lebeck, Kimberly Ruth, Tadayoshi Kohno, and Franziska Roesner. 2018. Towards Security and Privacy for Multi-User Augmented Reality: Foundations with End Users. In 2018 IEEE Symposium on Security and Privacy (SP). IEEE, 392–408.
[66]
Michelle Seng Ah Lee and Jat Singh. 2021. The Landscape and Gaps in Open Source Fairness Toolkits. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (Yokohama, Japan) (CHI ’21). Association for Computing Machinery, New York, NY, USA, Article 699, 13 pages. https://doi.org/10.1145/3411764.3445261
[67]
Michael Xieyang Liu, Aniket Kittur, and Brad A. Myers. 2022. Crystalline: Lowering the Cost for Developers to Collect and Organize Information for Decision Making. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (New Orleans, LA, USA) (CHI ’22). Association for Computing Machinery, New York, NY, USA, Article 68. https://doi.org/10.1145/3491102.3501968
[68]
Eduardo E. Lovo, Juan C. Quintana, Manuel C. Puebla, Gonzalo Torrealba, José L. Santos, Isidro H. Lira, and Patricio Tagle. 2007. A Novel, Inexpensive Method of Image Coregistration for Applications in Image-guided Surgery Using Augmented Reality. Operative Neurosurgery 60, 4 (Apr 2007), 366–372. https://doi.org/10.1227/01.NEU.0000255360.32689.FA
[69]
A. Maiti, M. Jadliwala, and C. Weber. 2017. Preventing Shoulder Surfing Using Randomized Augmented Reality Keyboards. In 2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops). 630–635. https://doi.org/10.1109/PERCOMW.2017.7917636
[70]
Frank Marcinkowski, Kimon Kieslich, Christopher Starke, and Marco Lünich. 2020. Implications of AI (Un-)Fairness in Higher Education Admissions: The Effects of Perceived AI (Un-)Fairness on Exit, Voice and Organizational Reputation. In Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency (Barcelona, Spain) (FAT* ’20). Association for Computing Machinery, New York, NY, USA, 122–130. https://doi.org/10.1145/3351095.3372867
[71]
Philippe Massonet, Syed Naqvi, Christophe Ponsard, Joseph Latanicki, Benny Rochwerger, and Massimo Villari. 2011. A Monitoring and Audit Logging Architecture for Data Location Compliance in Federated Cloud Infrastructures. In 2011 IEEE International Symposium on Parallel and Distributed Processing Workshops and Phd Forum. IEEE, Anchorage, AK, USA, 1510–1517. https://doi.org/10.1109/IPDPS.2011.304
[72]
Anay Mehrotra, Bary S. R. Pradelski, and Nisheeth K. Vishnoi. 2022. Selection in the Presence of Implicit Bias: The Advantage of Intersectional Constraints. In 2022 ACM Conference on Fairness, Accountability, and Transparency (Seoul, Republic of Korea) (FAccT ’22). Association for Computing Machinery, New York, NY, USA, 599–609. https://doi.org/10.1145/3531146.3533124
[73]
Meta. 2019. Explore VR Gaming Experiences. https://www.oculus.com/experiences. Accessed: 2023-05-09.
[74]
Microsoft. 2021. Safety Information. https://support.microsoft.com/en-gb/help/4023454/safety-information. Accessed: 2023-05-09.
[75]
Margaret Mitchell, Simone Wu, Andrew Zaldivar, Parker Barnes, Lucy Vasserman, Ben Hutchinson, Elena Spitzer, Inioluwa Deborah Raji, and Timnit Gebru. 2019. Model Cards for Model Reporting. In Proceedings of the Conference on Fairness, Accountability, and Transparency (Atlanta, GA, USA) (FAT* ’19). ACM, New York, USA, 220–229. https://doi.org/10.1145/3287560.3287596
[76]
NASA’s Jet Propulsion Laboratory/Caltech. 2018. NASA’s Exoplanet Excursions. https://www.oculus.com/experiences/rift/2136785793017883. Accessed: 2023-05-09.
[77]
National Geographic. 2019. National Geographic Explore VR. https://www.oculus.com/experiences/quest/2046607608728563. Accessed: 2023-05-09.
[78]
Terrence Neumann, Maria De-Arteaga, and Sina Fazelpour. 2022. Justice in Misinformation Detection Systems: An Analysis of Algorithms, Stakeholders, and Potential Harms. In 2022 ACM Conference on Fairness, Accountability, and Transparency (Seoul, Republic of Korea) (FAccT ’22). Association for Computing Machinery, New York, NY, USA, 1504–1515. https://doi.org/10.1145/3531146.3533205
[79]
Chris Norval, Jennifer Cobbe, and Jatinder Singh. 2021. Towards an Accountable Internet of Things: A Call for ‘Reviewability’. Privacy by Design for the Internet of Things. The Institution of Engineering and Technology. (2021).
[80]
Chris Norval, Kristin Cornelius, Jennifer Cobbe, and Jatinder Singh. 2022. Disclosure by Design: Designing Information Disclosures to Support Meaningful Transparency and Accountability. In 2022 ACM Conference on Fairness, Accountability, and Transparency (Seoul, Republic of Korea) (FAccT ’22). Association for Computing Machinery, New York, NY, USA, 679–690. https://doi.org/10.1145/3531146.3533133
[81]
Oculus. 2021. Oculus Health and Safety Warnings. https://securecdn.oculus.com/sr/oculusquest-warning-english. Accessed: 2023-05-09.
[82]
Royal Courts of Justice. 2020. R (Bridges) v Chief Constable of South Wales Police & Information Commissioner [2020] EWCA Civ 1058.
[83]
Orestis Papakyriakopoulos, Simon Hegelich, Juan Carlos Medina Serrano, and Fabienne Marco. 2020. Bias in Word Embeddings. In Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency (Barcelona, Spain) (FAT* ’20). Association for Computing Machinery, New York, NY, USA, 446–457. https://doi.org/10.1145/3351095.3372843
[84]
Simon Parkin, George Danezis, Isabel Lopez-Neira, and Trupti Patel. 2018. Implications of the Internet of Things (IoT) on Victims of Gender-Based Domestic Violence and Abuse. Technical Report. https://www.ucl.ac.uk/research/domains/sites/research_domains/files/br_ssp_2017-18_tanczer_internet_of_things_and_gender_based_violence.pdf
[85]
Lindsay Poirier. 2022. Accountable Data: The Politics and Pragmatics of Disclosure Datasets. In 2022 ACM Conference on Fairness, Accountability, and Transparency (Seoul, Republic of Korea) (FAccT ’22). Association for Computing Machinery, New York, NY, USA, 1446–1456. https://doi.org/10.1145/3531146.3533201
[86]
Pokémon Go. 2019. Pokémon Go. https://www.pokemongo.com/en-us/. Accessed: 2023-05-09.
[87]
Dawid Połap, Karolina Kęsik, Kamil Książek, and Marcin Woźniak. 2017. Obstacle Detection as a Safety Alert in Augmented Reality Models by the Use of Deep Learning Techniques. Sensors 17, 12 (2017), 1–16.
[88]
Philip Pratt, Matthew Ives, Graham Lawton, Jonathan Simmons, Nasko Radev, Liana Spyropoulou, and Dimitri Amiras. 2018. Through the HoloLensTM Looking Glass: Augmented Reality for Extremity Reconstruction Surgery using 3D Vascular Models with Perforating Vessels. European radiology experimental 2 (2018), 1–7.
[89]
Mahima Pushkarna, Andrew Zaldivar, and Oddur Kjartansson. 2022. Data Cards: Purposeful and Transparent Dataset Documentation for Responsible AI. In 2022 ACM Conference on Fairness, Accountability, and Transparency (Seoul, Republic of Korea) (FAccT ’22). Association for Computing Machinery, New York, NY, USA, 1776–1826. https://doi.org/10.1145/3531146.3533231
[90]
Zhengrui Qin, Yutao Tang, Ed Novak, and Qun Li. 2016. Mobiplay: A Remote Execution Based Record-and-Replay Tool for Mobile Applications. In Proceedings of the 38th International Conference on Software Engineering. 571–582.
[91]
Fazlay Rabbi, Taiwoo Park, Biyi Fang, Mi Zhang, and Youngki Lee. 2018. When Virtual Reality Meets Internet of Things in the Gym: Enabling Immersive Interactive Machine Exercises. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2, 2, Article 78 (July 2018). https://doi.org/10.1145/3214281
[92]
Inioluwa Deborah Raji, Andrew Smart, Rebecca N. White, Margaret Mitchell, Timnit Gebru, Ben Hutchinson, Jamila Smith-Loud, Daniel Theron, and Parker Barnes. 2020. Closing the AI Accountability Gap: Defining an End-to-End Framework for Internal Algorithmic Auditing. In Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency (Barcelona, Spain) (FAT* ’20). Association for Computing Machinery, New York, NY, USA, 33–44. https://doi.org/10.1145/3351095.3372873
[93]
Bogdana Rakova, Jingying Yang, Henriette Cramer, and Rumman Chowdhury. 2021. Where Responsible AI Meets Reality: Practitioner Perspectives on Enablers for Shifting Organizational Practices. Proceedings of the ACM on Human-Computer Interaction 5, CSCW1 (2021), 1–23.
[94]
Toni Robertson and Jesper Simonsen. 2012. Challenges and Opportunities in Contemporary Participatory Design. Design Issues 28, 3 (2012), 3–9.
[95]
Javier Sánchez-Monedero, Lina Dencik, and Lilian Edwards. 2020. What Does It Mean to ‘Solve’ the Problem of Discrimination in Hiring? Social, Technical and Legal Perspectives from the UK on Automated Hiring Systems. In Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency (Barcelona, Spain) (FAT* ’20). Association for Computing Machinery, New York, NY, USA, 458–468. https://doi.org/10.1145/3351095.3372849
[96]
Qijia Shao, Amy Sniffen, Julien Blanchet, Megan E. Hillis, Xinyu Shi, Themistoklis K. Haris, Jason Liu, Jason Lamberton, Melissa Malzkuhn, Lorna C. Quandt, James Mahoney, David J. M. Kraemer, Xia Zhou, and Devin Balkcom. 2020. Teaching American Sign Language in Mixed Reality. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4, 4, Article 152 (Dec. 2020). https://doi.org/10.1145/3432211
[97]
J. Singh, J. Cobbe, and C. Norval. 2019. Decision Provenance: Harnessing Data Flow for Accountable Systems. IEEE Access 7 (2019), 6562–6574. https://doi.org/10.1109/ACCESS.2018.2887201
[98]
Jatinder Singh, Thomas Pasquier, Jean Bacon, Julia Powles, Raluca Diaconu, and David Eyers. 2016. Big Ideas Paper: Policy-Driven Middleware for a Legally-Compliant Internet of Things. In Proceedings of the 17th International Middleware Conference (Trento, Italy) (Middleware ’16). ACM, New York, NY, USA, Article 13, 13:1–13:15 pages. https://doi.org/10.1145/2988336.2988349
[99]
Jatinder Singh, Julia Powles, Thomas Pasquier, and Jean Bacon. 2015. Data Flow Management and Compliance in Cloud Computing. IEEE Cloud Computing 2, 4 (July 2015), 24–32. https://doi.org/10.1109/MCC.2015.69
[100]
Sean Sirur, Jason R.C. Nurse, and Helena Webb. 2018. Are We There Yet? Understanding the Challenges Faced in Complying with the General Data Protection Regulation (GDPR). In Proceedings of the 2nd International Workshop on Multimedia Privacy and Security (Toronto, Canada) (MPS ’18). Association for Computing Machinery, New York, NY, USA, 88–95. https://doi.org/10.1145/3267357.3267368
[101]
Ivo Sluganovic, Matej Serbec, Ante Derek, and Ivan Martinovic. 2017. HoloPair: Securing Shared Augmented Reality Using Microsoft HoloLens. In Proceedings of the 33rd Annual Computer Security Applications Conference (Orlando, FL, USA) (ACSAC 2017). Association for Computing Machinery, New York, NY, USA, 250–261. https://doi.org/10.1145/3134600.3134625
[102]
Kacper Sokol and Peter Flach. 2020. Explainability Fact Sheets: A Framework for Systematic Assessment of Explainable Approaches. In Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency (Barcelona, Spain) (FAT* ’20). Association for Computing Machinery, New York, NY, USA, 56–67. https://doi.org/10.1145/3351095.3372870
[103]
Sólfar Studios. 2017. Everest VR. https://www.oculus.com/experiences/rift/1043021355789504. Accessed: 2023-05-09.
[104]
Steam. 2019. Virtual Reality Titles. https://store.steampowered.com/vr/. Accessed: 2023-05-09.
[105]
Cynthia Stohl, Michael Stohl, and Paul M Leonardi. 2016. Digital Age | Managing Opacity: Information Visibility and the Paradox of Transparency in the Digital Age. International Journal of Communication 10 (2016), 123–137.
[106]
Leonie Tanczer, Isabel Lopez-Neira, Simon Parkin, Trupti Patel, and George Danezis. 2018. The Rise of the Internet of Things and Implications for Technology-Facilitated Abuse. (2018). https://www.ucl.ac.uk/steapp/sites/steapp/files/giot-report.pdf
[107]
Michael Carl Tschantz. 2022. What is Proxy Discrimination?. In 2022 ACM Conference on Fairness, Accountability, and Transparency (Seoul, Republic of Korea) (FAccT ’22). Association for Computing Machinery, New York, NY, USA, 1993–2003. https://doi.org/10.1145/3531146.3533242
[108]
Lachlan D. Urquhart and Peter J. Craigon. 2021. The Moral-IT Deck: A Tool for Ethics by Design. Journal of Responsible Innovation 8, 1 (2021), 94–126. https://doi.org/10.1080/23299460.2021.1880112
[109]
Ben Wagner, Krisztina Rozgonyi, Marie-Therese Sekwenz, Jennifer Cobbe, and Jatinder Singh. 2020. Regulating Transparency? Facebook, Twitter and the German Network Enforcement Act. In Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency (Barcelona, Spain) (FAT* ’20). Association for Computing Machinery, New York, NY, USA, 261–271. https://doi.org/10.1145/3351095.3372856
[110]
Qi Wang, Wajih Ul Hassan, Adam Bates, and Carl Gunter. 2018. Fear and Logging in the Internet of Things. In Network and Distributed Systems Symposium.
[111]
Chris Warin and Delphine Reinhardt. 2022. Vision: Usable Privacy for XR in the Era of the Metaverse. In Proceedings of the 2022 European Symposium on Usable Security (Karlsruhe, Germany) (EuroUSEC ’22). Association for Computing Machinery, New York, NY, USA, 111–116. https://doi.org/10.1145/3549015.3554212
[112]
Peter Washington, Catalin Voss, Aaron Kline, Nick Haber, Jena Daniels, Azar Fazel, Titas De, Carl Feinstein, Terry Winograd, and Dennis Wall. 2017. SuperpowerGlass: A Wearable Aid for the At-Home Therapy of Children with Autism. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1, 3, Article 112 (Sept. 2017). https://doi.org/10.1145/3130977
[113]
Tan Kiat Wee, Eduardo Cuervo, and Rajesh Balan. 2018. FocusVR: Effective 8 Usable VR Display Power Management. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2, 3 (2018), 1–25.
[114]
Laura Weidinger, Jonathan Uesato, Maribeth Rauh, Conor Griffin, Po-Sen Huang, John Mellor, Amelia Glaese, Myra Cheng, Borja Balle, Atoosa Kasirzadeh, Courtney Biles, Sasha Brown, Zac Kenton, Will Hawkins, Tom Stepleton, Abeba Birhane, Lisa Anne Hendricks, Laura Rimell, William Isaac, Julia Haas, Sean Legassick, Geoffrey Irving, and Iason Gabriel. 2022. Taxonomy of Risks Posed by Language Models. In 2022 ACM Conference on Fairness, Accountability, and Transparency (Seoul, Republic of Korea) (FAccT ’22). Association for Computing Machinery, New York, NY, USA, 214–229. https://doi.org/10.1145/3531146.3533088
[115]
Maranke Wieringa. 2020. What to Account for When Accounting for Algorithms: A Systematic Literature Review on Algorithmic Accountability. In Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency (Barcelona, Spain) (FAT* ’20). Association for Computing Machinery, New York, NY, USA, 1–18. https://doi.org/10.1145/3351095.3372833
[116]
Rebecca Williams, Richard Cloete, Jennifer Cobbe, Caitlin Cottrill, Peter Edwards, Milan Markovic, Iman Naja, Frances Ryan, Jatinder Singh, Wei Pang, and et al.2022. From Transparency to Accountability of Intelligent Systems: Moving Beyond Aspirations. Data & Policy 4 (2022). https://doi.org/10.1017/dap.2021.37
[117]
Kanghyeok Yang, Sepi Aria, Changbum R. Ahn, and Terry L. Stentz. 2014. Automated Detection of Near-Miss Fall Incidents in Iron Workers Using Inertial Measurement Units. In Construction Research Congress 2014. American Society of Civil Engineers, Atlanta, Georgia, 935–944. https://doi.org/10.1061/9780784413517.096

Cited By

View all
  • (2024)Data-Mediated Environments: Reality after the MetaverseNavigating the Metaverse - A Comprehensive Guide to the Future of Digital Interaction [Working Title]10.5772/intechopen.1006622Online publication date: 10-Sep-2024
  • (2024)Law and the Emerging Political Economy of Algorithmic AuditsProceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency10.1145/3630106.3658970(1255-1267)Online publication date: 3-Jun-2024
  • (2024)Exploring Healthcare Providers' Perspectives on Extended Reality Technologies for Sustainable Healthcare: A Twitter Analysis2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS)10.1109/ICETSIS61505.2024.10459388(1053-1059)Online publication date: 28-Jan-2024

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Other conferences
FAccT '23: Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency
June 2023
1929 pages
ISBN:9798400701924
DOI:10.1145/3593013
This work is licensed under a Creative Commons Attribution International 4.0 License.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 June 2023

Check for updates

Author Tags

  1. accountability
  2. audit
  3. auditability
  4. augmented reality
  5. mixed reality
  6. responsibility
  7. reviewability
  8. transparency
  9. trust
  10. virtual reality

Qualifiers

  • Research-article
  • Research
  • Refereed limited

Funding Sources

Conference

FAccT '23

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)425
  • Downloads (Last 6 weeks)71
Reflects downloads up to 02 Oct 2024

Other Metrics

Citations

Cited By

View all
  • (2024)Data-Mediated Environments: Reality after the MetaverseNavigating the Metaverse - A Comprehensive Guide to the Future of Digital Interaction [Working Title]10.5772/intechopen.1006622Online publication date: 10-Sep-2024
  • (2024)Law and the Emerging Political Economy of Algorithmic AuditsProceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency10.1145/3630106.3658970(1255-1267)Online publication date: 3-Jun-2024
  • (2024)Exploring Healthcare Providers' Perspectives on Extended Reality Technologies for Sustainable Healthcare: A Twitter Analysis2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS)10.1109/ICETSIS61505.2024.10459388(1053-1059)Online publication date: 28-Jan-2024

View Options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format.

HTML Format

Get Access

Login options

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media