Accountability in an algorithmic society: relationality, responsibility, and robustness in machine learning

AF Cooper, E Moss, B Laufer… - Proceedings of the 2022 …, 2022 - dl.acm.org
In 1996, Accountability in a Computerized Society [95] issued a clarion call concerning the
erosion of accountability in society due to the ubiquitous delegation of consequential …

Mitigating dataset harms requires stewardship: Lessons from 1000 papers

K Peng, A Mathur, A Narayanan - arXiv preprint arXiv:2108.02922, 2021 - arxiv.org
Machine learning datasets have elicited concerns about privacy, bias, and unethical
applications, leading to the retraction of prominent datasets such as DukeMTMC, MS-Celeb …

Augmented datasheets for speech datasets and ethical decision-making

O Papakyriakopoulos, ASG Choi, W Thong… - Proceedings of the …, 2023 - dl.acm.org
Speech datasets are crucial for training Speech Language Technologies (SLT); however,
the lack of diversity of the underlying training data can lead to serious limitations in building …

Survey on the analysis and modeling of visual kinship: A decade in the making

JP Robinson, M Shao, Y Fu - IEEE Transactions on Pattern …, 2021 - ieeexplore.ieee.org
Kinship recognition is a challenging problem with many practical applications. With much
progress and milestones having been reached after ten years, we are now able to survey …

Aya dataset: An open-access collection for multilingual instruction tuning

S Singh, F Vargus, D Dsouza, BF Karlsson… - arXiv preprint arXiv …, 2024 - arxiv.org
Datasets are foundational to many breakthroughs in modern artificial intelligence. Many
recent achievements in the space of natural language processing (NLP) can be attributed to …

Application of artificial intelligence in active assisted living for aging population in real-world setting with commercial devices–A scoping review

K Wang, M Ghafurian, D Chumachenko, S Cao… - Computers in Biology …, 2024 - Elsevier
Background The aging population is steadily increasing, posing new challenges and
opportunities for healthcare systems worldwide. Technological advancements, particularly in …

Computer vision and conflicting values: Describing people with automated alt text

M Hanley, S Barocas, K Levy, S Azenkot… - Proceedings of the …, 2021 - dl.acm.org
Scholars have recently drawn attention to a range of controversial issues posed by the use
of computer vision for automatically generating descriptions of people in images. Despite …

SoK: Machine learning governance

V Chandrasekaran, H Jia, A Thudi, A Travers… - arXiv preprint arXiv …, 2021 - arxiv.org
The application of machine learning (ML) in computer systems introduces not only many
benefits but also risks to society. In this paper, we develop the concept of ML governance to …

Balancing biases and preserving privacy on balanced faces in the wild

JP Robinson, C Qin, Y Henon… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
There are demographic biases present in current facial recognition (FR) models. To
measure these biases across different ethnic and gender subgroups, we introduce our …

Reading between the heat: Co-teaching body thermal signatures for non-intrusive stress detection

Y Xiao, H Sharma, Z Zhang, D Bergen-Cico… - Proceedings of the …, 2024 - dl.acm.org
Stress impacts our physical and mental health as well as our social life. A passive and
contactless indoor stress monitoring system can unlock numerous important applications …