Sensor Illumination: Exploring Design Qualities and Ethical Implications of Smart Cameras and Image/Video Analytics

Pierce, James; Wong, Richmond Y.; Merrill, Nick

doi:10.1145/3313831.3376347

Cited by 23 publications

(23 citation statements)

References 94 publications

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“…CHI [1,10,13,25,28,30,32,65,77,91,110,124,128,130,132,154,179], DIS [9,58,178], HRI [84,87,90,92,134], CHI PLAY [147], CHIIR [16] 37 CHI [3,7,26,31,40,51,57,75,89,101,114,119,120,122,136,139,140,150,162], DIS [18,66,76,135,138,146,159], HRI…”

Section: Subject Matters Of Ethical Considerationsmentioning

confidence: 99%

A Scoping Review of Ethics Across SIGCHI

Vilaza

Doherty

McCashin

et al. 2022

Designing Interactive Systems Conference

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Ethical deliberation has proved a consistent feature of Human-Computer Interaction (HCI) since its earliest years, spanning the respectful involvement of research participants to design choices impacting fairness, freedom and welfare. Despite growing discussions, applied knowledge and practical approaches for navigating complex moral dilemmas remain challenging to grasp. Motivated by the need for a structured overview, this paper contributes a scoping review of ethics as discussed across 129 full-length SIGCHI papers containing the search term 'ethic*' in their title, abstract or authors' keywords over the last ten years. Findings show increasing prioritisation of the topic, particularly within Artifcial Intelligence. Value-Sensitive and Critical Design appear as the most frequently applied orientations, and participatory approaches are more prevalent than those without end-user input. Engaging with a spectrum from personal to societal concerns, the SIGCHI literature thus echos calls for critical perspectives on user-centred processes and the need to establish more sustainable responsibility structures. CCS CONCEPTS• Social and professional topics → Codes of ethics; • Humancentered computing → Interaction design process and methods; • General and reference → Surveys and overviews.

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Section: Subject Matters Of Ethical Considerationsmentioning

confidence: 99%

A Scoping Review of Ethics Across SIGCHI

Vilaza

Doherty

McCashin

et al. 2022

Designing Interactive Systems Conference

View full text Add to dashboard Cite

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“…Fairness in face recognition recently started to receive increasing interest from different segments of scientific communities [19,36,38,44]. This is partially due to the huge impact new technologies have in our daily lives.…”

Section: Arxiv:200907838v1 [Cscv] 16 Sep 2020mentioning

confidence: 99%

FairFace Challenge at ECCV 2020: Analyzing Bias in Face Recognition

Sixta

Júnior

Buch-Cardona

et al. 2020

Lecture Notes in Computer Science

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This work summarizes the 2020 ChaLearn Looking at People Fair Face Recognition and Analysis Challenge and provides a description of the top-winning solutions and analysis of the results. The aim of the challenge was to evaluate accuracy and bias in gender and skin colour of submitted algorithms on the task of 1:1 face verification in the presence of other confounding attributes. Participants were evaluated using an in-the-wild dataset based on reannotated IJB-C, further enriched by 12.5K new images and additional labels. The dataset is not balanced, which simulates a real world scenario where AI-based models supposed to present fair outcomes are trained and evaluated on imbalanced data. The challenge attracted 151 participants, who made more than 1.8K submissions in total. The final phase of the challenge attracted 36 active teams out of which 10 exceeded 0.999 AUC-ROC while achieving very low scores in the proposed bias metrics. Common strategies by the participants were face pre-processing, homogenization of data distributions, the use of bias aware loss functions and ensemble models. The analysis of top-10 teams shows higher false positive rates (and lower false negative rates) for females with dark skin tone as well as the potential of eyeglasses and young age to increase the false positive rates too.

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“…The project extrapolates three interrelated trends [9,11]. First, standalone smart cameras are technically much more than cameras.…”

Section: Design Trends: More Than a Camera A Security Device Or An Inanimate Toolmentioning

confidence: 99%

“…Emerging smart cameras such as Google Clips appear to be less studied. This work is part of a broader project using design perspectives to undestand and explore implications of IoT and sensing [8,9,10,11].…”

mentioning

confidence: 99%

Roomba+Clips Cam

Pierce

2020

Companion Publication of the 2020 ACM Designing Interactive Systems Conference

Self Cite

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We present a novel prototype to explore themes of unpredictable autonomy in everyday smart products. We construct an interactive prototype that combines two autonomous everyday consumer products: an autonomous vacuum cleaner that cleans where it decides, and an autonomous camera that takes photos when it decides. Through this process we reflect upon the value and risks associated with everyday unpredictable autonomy, and the need to introduce guardrails and overrides. This demo will allow conference participants to interact with variations of the prototype in order to experience unpredictable autonomy with everyday smart systems.

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Sensor Illumination: Exploring Design Qualities and Ethical Implications of Smart Cameras and Image/Video Analytics

Cited by 23 publications

References 94 publications

A Scoping Review of Ethics Across SIGCHI

A Scoping Review of Ethics Across SIGCHI

FairFace Challenge at ECCV 2020: Analyzing Bias in Face Recognition

Roomba+Clips Cam

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