A survey on artificial intelligence assurance
FA Batarseh, L Freeman, CH Huang - Journal of Big Data, 2021 - Springer
Artificial Intelligence (AI) algorithms are increasingly providing decision making and
operational support across multiple domains. AI includes a wide (and growing) library of …
operational support across multiple domains. AI includes a wide (and growing) library of …
[HTML][HTML] Using Machine Learning to Predict the Duration of Atrial Fibrillation: Model Development and Validation
S Shimoo, K Senoo, T Okawa, K Kawai… - JMIR Medical …, 2024 - medinform.jmir.org
Background: Atrial fibrillation (AF) is a progressive disease, and its clinical type is classified
according to the AF duration: paroxysmal AF, persistent AF (PeAF; AF duration of less than 1 …
according to the AF duration: paroxysmal AF, persistent AF (PeAF; AF duration of less than 1 …
Deep-Learning-Based Object Filtering According to Altitude for Improvement of Obstacle Recognition during Autonomous Flight
Y Lee, J An, I Joe - Remote Sensing, 2022 - mdpi.com
The autonomous flight of an unmanned aerial vehicle refers to creating a new flight route
after self-recognition and judgment when an unexpected situation occurs during the flight …
after self-recognition and judgment when an unexpected situation occurs during the flight …
Toward Effective Communication of AI-Based Decisions in Assistive Tools: Conveying Confidence and Doubt to People with Visual Impairments at Accelerated …
AI-based assistive technologies can mischaracterize information presented to people with
visual impairments (PVIs), eg, by misinterpreting someone's facial expressions. To improve …
visual impairments (PVIs), eg, by misinterpreting someone's facial expressions. To improve …
The explanatory gap in algorithmic news curation
H Heuer - Disinformation in Open Online Media: Third …, 2021 - Springer
Considering the large amount of available content, social media platforms increasingly
employ machine learning (ML) systems to curate news. This paper examines how well …
employ machine learning (ML) systems to curate news. This paper examines how well …
Systems Engineering–Driven AI Assurance and Trustworthiness
J Gadewadikar, J Marshall, Z Bilodeau… - Conference on Systems …, 2023 - Springer
Artificial intelligence (AI) across the engineering domain has led to an increased discussion
about the importance of creating, maintaining, and governing AI, and AI assurance has been …
about the importance of creating, maintaining, and governing AI, and AI assurance has been …
Audit, Don't Explain--Recommendations Based on a Socio-Technical Understanding of ML-Based Systems
H Heuer - arXiv preprint arXiv:2107.09917, 2021 - arxiv.org
In this position paper, I provide a socio-technical perspective on machine learning-based
systems. I also explain why systematic audits may be preferable to explainable AI systems. I …
systems. I also explain why systematic audits may be preferable to explainable AI systems. I …
Human-Imitating Metrics for Training and Evaluating Privacy Preserving Emotion Recognition Models Using Sociolinguistic Knowledge
M Jaiswal, EM Provost - arXiv preprint arXiv:2104.08792, 2021 - arxiv.org
Privacy preservation is a crucial component of any real-world application. But, in
applications relying on machine learning backends, privacy is challenging because models …
applications relying on machine learning backends, privacy is challenging because models …
Helping People Deal With Disinformation--A Socio-Technical Perspective
H Heuer - arXiv preprint arXiv:2104.04311, 2021 - arxiv.org
At the latest since the advent of the Internet, disinformation and conspiracy theories have
become ubiquitous. Recent examples like QAnon and Pizzagate prove that false information …
become ubiquitous. Recent examples like QAnon and Pizzagate prove that false information …