Fairness in deep learning: A survey on vision and language research
Despite being responsible for state-of-the-art results in several computer vision and natural
language processing tasks, neural networks have faced harsh criticism due to some of their …
language processing tasks, neural networks have faced harsh criticism due to some of their …
[HTML][HTML] AI and the quest for diversity and inclusion: A systematic literature review
The pervasive presence and wide-ranging variety of artificial intelligence (AI) systems
underscore the necessity for inclusivity and diversity in their design and implementation, to …
underscore the necessity for inclusivity and diversity in their design and implementation, to …
Sociotechnical harms of algorithmic systems: Scoping a taxonomy for harm reduction
Understanding the landscape of potential harms from algorithmic systems enables
practitioners to better anticipate consequences of the systems they build. It also supports the …
practitioners to better anticipate consequences of the systems they build. It also supports the …
Sharing the load: Considering fairness in de-energization scheduling to mitigate wildfire ignition risk using rolling optimization
A Kody, A West, DK Molzahn - 2022 IEEE 61st Conference on …, 2022 - ieeexplore.ieee.org
Wildfires are a threat to public safety and have increased in both frequency and severity due
to climate change. To mitigate wildfire ignition risks, electric power system operators …
to climate change. To mitigate wildfire ignition risks, electric power system operators …
SIX-Trust for 6G: Towards a Secure and Trustworthy Future Network
Recent years have witnessed a digital explosion in the deployment of 5G and the
proliferation of 5G-enabled innovations. Compared with 5G, 6G is envisioned to achieve a …
proliferation of 5G-enabled innovations. Compared with 5G, 6G is envisioned to achieve a …
Diversity and inclusion in artificial intelligence
D Zowghi, F da Rimini - arXiv preprint arXiv:2305.12728, 2023 - arxiv.org
To date, there has been little concrete practical advice about how to ensure that diversity
and inclusion considerations should be embedded within both specific Artificial Intelligence …
and inclusion considerations should be embedded within both specific Artificial Intelligence …
The future of standardised assessment: Validity and trust in algorithms for assessment and scoring
C Aloisi - European Journal of Education, 2023 - Wiley Online Library
This article considers the challenges of using artificial intelligence (AI) and machine learning
(ML) to assist high‐stakes standardised assessment. It focuses on the detrimental effect that …
(ML) to assist high‐stakes standardised assessment. It focuses on the detrimental effect that …
Debiasing methods for fairer neural models in vision and language research: A survey
Despite being responsible for state-of-the-art results in several computer vision and natural
language processing tasks, neural networks have faced harsh criticism due to some of their …
language processing tasks, neural networks have faced harsh criticism due to some of their …
[PDF][PDF] Identifying sociotechnical harms of algorithmic systems: Scoping a taxonomy for harm reduction
Momentum among practitioners has led to the development of practices to better identify and
minimize sociotechnical harms (eg,[22, 53, 122, 131]). Alongside broader movements …
minimize sociotechnical harms (eg,[22, 53, 122, 131]). Alongside broader movements …
[HTML][HTML] How AI tools can—and cannot—help organizations become more ethical
D De Cremer, D Narayanan - Frontiers in Artificial Intelligence, 2023 - frontiersin.org
In this paper, we argue that we cannot expect that AI systems—even given more data or
better computational resources—will be more ethical than the humans who develop, deploy …
better computational resources—will be more ethical than the humans who develop, deploy …