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Canadian Journal for the Academic Mind, 2023 Decriminalization and legalization of illicit drugs have been hot topics ever since they hit the black market, and they have progressed a long way since.
A. Proctor
semanticscholar +7 more sources
Adversarial Training for High-Stakes Reliability [PDF]
Advances in Neural Information Processing Systems 35, 2022 In the future, powerful AI systems may be deployed in high-stakes settings, where a single failure could be catastrophic. One technique for improving AI safety in high-stakes settings is adversarial training, which uses an adversary to generate examples ...
Daniel M. Ziegler +11 more
semanticscholar +5 more sources
A review of the benefits and drawbacks of high-stakes final examinations in higher education
Higher Education, 2023 High-stakes examinations enjoy widespread use as summative assessments in higher education. We review the arguments for and against their use, across seven common themes: memory recall and knowledge retention; student motivation and learning ...
Sarah French, Raoul Mulder
exaly +2 more sources
A Framework of High-Stakes Algorithmic Decision-Making for the Public Sector Developed through a Case Study of Child-Welfare [PDF]
Proc. ACM Hum. Comput. Interact., 2021 Algorithms have permeated throughout civil government and society, where they are being used to make high-stakes decisions about human lives. In this paper, we first develop a cohesive framework of algorithmic decision-making adapted for the public ...
Devansh Saxena +3 more
semanticscholar +1 more source
Can lies be faked? Comparing low-stakes and high-stakes deception video datasets from a Machine Learning perspective [PDF]
Expert systems with applications, 2022 Despite the great impact of lies in human societies and a meager 54% human accuracy for Deception Detection (DD), Machine Learning systems that perform automated DD are still not viable for proper application in real-life settings due to data scarcity ...
M. Camara +3 more
semanticscholar +1 more source
“Everyone wants to do the model work, not the data work”: Data Cascades in High-Stakes AI
International Conference on Human Factors in Computing Systems, 2021 AI models are increasingly applied in high-stakes domains like health and conservation. Data quality carries an elevated significance in high-stakes AI due to its heightened downstream impact, impacting predictions like cancer detection, wildlife ...
Nithya Sambasivan +5 more
semanticscholar +1 more source
Unsupervised Audio-Visual Subspace Alignment for High-Stakes Deception Detection [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2021 Automated systems that detect deception in high-stakes situations can enhance societal well-being across medical, social work, and legal domains. Existing models for detecting high-stakes deception in videos have been supervised, but labeled datasets to ...
Leena Mathur, Maja J. Matari'c
semanticscholar +1 more source
Journal of Ambient Intelligence and Humanized Computing, 2023 A high-stakes event is an extreme risk with a low probability of occurring, but severe consequences (e.g., life-threatening conditions or economic collapse).
Bukhoree Sahoh, A. Choksuriwong
semanticscholar +1 more source
Test anxiety: Is it associated with performance in high-stakes examinations?
Oxford Review of Education, 2022 A long-established literature has found that anxiety about testing is negatively related to academic achievement. Yet there remains some debate as to whether this is simply due to less academically able pupils being more likely to develop education ...
John Jerrim
semanticscholar +1 more source
Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting [PDF]
FAT, 2019 We present a large-scale study of gender bias in occupation classification, a task where the use of machine learning may lead to negative outcomes on peoples' lives.
Maria De-Arteaga +8 more
semanticscholar +1 more source