Deep automation bias: how to tackle a wicked problem of AI?
S Strauß - Big Data and Cognitive Computing, 2021 - mdpi.com
The increasing use of AI in different societal contexts intensified the debate on risks, ethical
problems and bias. Accordingly, promising research activities focus on debiasing to …
problems and bias. Accordingly, promising research activities focus on debiasing to …
[PDF][PDF] Artificial intelligence and ethics: a comprehensive review of bias mitigation, transparency, and accountability in AI Systems
GB Mensah - Preprint, November, 2023 - researchgate.net
Artificial Intelligence (AI) has become an integral part of our lives, revolutionizing various
industries and enhancing efficiency. However, as AI continues to advance, it is crucial to …
industries and enhancing efficiency. However, as AI continues to advance, it is crucial to …
Bias in data‐driven artificial intelligence systems—An introductory survey
Artificial Intelligence (AI)‐based systems are widely employed nowadays to make decisions
that have far‐reaching impact on individuals and society. Their decisions might affect …
that have far‐reaching impact on individuals and society. Their decisions might affect …
Ai ethics issues in real world: Evidence from ai incident database
With the powerful performance of Artificial Intelligence (AI) also comes prevalent ethical
issues. Though governments and corporations have curated multiple AI ethics guidelines to …
issues. Though governments and corporations have curated multiple AI ethics guidelines to …
Responsible AI by design in practice
R Benjamins, A Barbado, D Sierra - arXiv preprint arXiv:1909.12838, 2019 - arxiv.org
Recently, a lot of attention has been given to undesired consequences of Artificial
Intelligence (AI), such as unfair bias leading to discrimination, or the lack of explanations of …
Intelligence (AI), such as unfair bias leading to discrimination, or the lack of explanations of …
Navigating and reviewing ethical dilemmas in AI development: Strategies for transparency, fairness, and accountability
O Akinrinola, CC Okoye, OC Ofodile… - GSC Advanced …, 2024 - gsconlinepress.com
As artificial intelligence (AI) continues to permeate various aspects of our lives, the ethical
challenges associated with its development become increasingly apparent. This paper …
challenges associated with its development become increasingly apparent. This paper …
AI ethics in industry: a research framework
Artificial Intelligence (AI) systems exert a growing influence on our society. As they become
more ubiquitous, their potential negative impacts also become evident through various real …
more ubiquitous, their potential negative impacts also become evident through various real …
From big data to deep learning: a leap towards strong AI or 'intelligentia obscura'?
S Strauß - Big Data and Cognitive Computing, 2018 - mdpi.com
Astonishing progress is being made in the field of artificial intelligence (AI) and particularly in
machine learning (ML). Novel approaches of deep learning are promising to even boost the …
machine learning (ML). Novel approaches of deep learning are promising to even boost the …
A survey on ethical principles of AI and implementations
AI has powerful capabilities in prediction, automation, planning, targeting, and
personalisation. Generally, it is assumed that AI can enable machines to exhibit human-like …
personalisation. Generally, it is assumed that AI can enable machines to exhibit human-like …
Towards a responsible AI development lifecycle: Lessons from information security
E Galinkin - arXiv preprint arXiv:2203.02958, 2022 - arxiv.org
Legislation and public sentiment throughout the world have promoted fairness metrics,
explainability, and interpretability as prescriptions for the responsible development of ethical …
explainability, and interpretability as prescriptions for the responsible development of ethical …