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 …

[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 …

Bias in data‐driven artificial intelligence systems—An introductory survey

E Ntoutsi, P Fafalios, U Gadiraju… - … : Data Mining and …, 2020 - Wiley Online Library
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 …

Ai ethics issues in real world: Evidence from ai incident database

M Wei, Z Zhou - arXiv preprint arXiv:2206.07635, 2022 - arxiv.org
With the powerful performance of Artificial Intelligence (AI) also comes prevalent ethical
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 …

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 …

AI ethics in industry: a research framework

V Vakkuri, KK Kemell, P Abrahamsson - arXiv preprint arXiv:1910.12695, 2019 - arxiv.org
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 …

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 …

A survey on ethical principles of AI and implementations

J Zhou, F Chen, A Berry, M Reed… - 2020 IEEE …, 2020 - ieeexplore.ieee.org
AI has powerful capabilities in prediction, automation, planning, targeting, and
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 …