Regulating Explainability in Machine Learning Applications--Observations from a Policy Design Experiment
N Nahar, J Rowlett, M Bray, ZA Omar… - The 2024 ACM …, 2024 - dl.acm.org
With the rise of artificial intelligence (AI), concerns about AI applications causing unforeseen
harms to safety, privacy, security, and fairness are intensifying. While attempts to create …
harms to safety, privacy, security, and fairness are intensifying. While attempts to create …
False Sense of Security in Explainable Artificial Intelligence (XAI)
A cautious interpretation of AI regulations and policy in the EU and the USA place
explainability as a central deliverable of compliant AI systems. However, from a technical …
explainability as a central deliverable of compliant AI systems. However, from a technical …
Good explanation for algorithmic transparency
Abstract Machine learning algorithms have gained widespread usage across a variety of
domains, both in providing predictions to expert users and recommending decisions to …
domains, both in providing predictions to expert users and recommending decisions to …
[PDF][PDF] Get your act together: a comparative view on transparency in the AI act and technology
B Gyevnar, N Ferguson, B Schafer - arXiv preprint arXiv …, 2023 - researchgate.net
The European Union has proposed the Artificial Intelligence Act which introduces a
proportional risk-based approach to AI regulation including detailed requirements for …
proportional risk-based approach to AI regulation including detailed requirements for …
Sok: Explainable machine learning for computer security applications
Explainable Artificial Intelligence (XAI) aims to improve the transparency of machine
learning (ML) pipelines. We systematize the increasingly growing (but fragmented) …
learning (ML) pipelines. We systematize the increasingly growing (but fragmented) …
Extrapolation and AI transparency: Why machine learning models should reveal when they make decisions beyond their training
X Cao, R Yousefzadeh - Big Data & Society, 2023 - journals.sagepub.com
The right to artificial intelligence (AI) explainability has consolidated as a consensus in the
research community and policy-making. However, a key component of explainability has …
research community and policy-making. However, a key component of explainability has …
Machine learning explainability for external stakeholders
As machine learning is increasingly deployed in high-stakes contexts affecting people's
livelihoods, there have been growing calls to open the black box and to make machine …
livelihoods, there have been growing calls to open the black box and to make machine …
Explainability in ai policies: A critical review of communications, reports, regulations, and standards in the eu, us, and uk
Public attention towards explainability of artificial intelligence (AI) systems has been rising in
recent years to offer methodologies for human oversight. This has translated into the …
recent years to offer methodologies for human oversight. This has translated into the …
Accountability of AI under the law: The role of explanation
F Doshi-Velez, M Kortz, R Budish, C Bavitz… - arXiv preprint arXiv …, 2017 - arxiv.org
The ubiquity of systems using artificial intelligence or" AI" has brought increasing attention to
how those systems should be regulated. The choice of how to regulate AI systems will …
how those systems should be regulated. The choice of how to regulate AI systems will …
Flexible and context-specific AI explainability: a multidisciplinary approach
The recent enthusiasm for artificial intelligence (AI) is due principally to advances in deep
learning. Deep learning methods are remarkably accurate, but also opaque, which limits …
learning. Deep learning methods are remarkably accurate, but also opaque, which limits …