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 …

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 …

Ethical Considerations in AI Addressing Bias and Fairness in Machine Learning Models

S Venkatasubbu, G Krishnamoorthy - Journal of Knowledge Learning and …, 2022 - jklst.org
The proliferation of artificial intelligence (AI) and machine learning (ML) technologies has
brought about unprecedented advancements in various domains. However, concerns …

Bridging the gap from AI ethics research to practice

K Baxter, Y Schlesinger, S Aerni, L Baker… - Proceedings of the …, 2020 - dl.acm.org
The study of fairness in machine learning applications has seen significant academic
inquiry, research and publication in recent years. Concurrently, technology companies have …

[HTML][HTML] Fairness and bias in artificial intelligence: A brief survey of sources, impacts, and mitigation strategies

E Ferrara - Sci, 2023 - mdpi.com
The significant advancements in applying artificial intelligence (AI) to healthcare decision-
making, medical diagnosis, and other domains have simultaneously raised concerns about …

Ethical adversaries: Towards mitigating unfairness with adversarial machine learning

P Delobelle, P Temple, G Perrouin, B Frénay… - ACM SIGKDD …, 2021 - dl.acm.org
Machine learning is being integrated into a growing number of critical systems with far-
reaching impacts on society. Unexpected behaviour and unfair decision processes are …

Certifai: Counterfactual explanations for robustness, transparency, interpretability, and fairness of artificial intelligence models

S Sharma, J Henderson, J Ghosh - arXiv preprint arXiv:1905.07857, 2019 - arxiv.org
As artificial intelligence plays an increasingly important role in our society, there are ethical
and moral obligations for both businesses and researchers to ensure that their machine …

A survey of ethical considerations in AI: navigating the landscape of bias and fairness

MM Islam, J Shuford - … General Science (JAIGS) ISSN: 3006-4023, 2024 - ojs.boulibrary.com
Artificial Intelligence (AI) has emerged as a transformative force across numerous domains,
from healthcare to finance and beyond. However, as AI systems become increasingly …

Responsible Artificial Intelligence: A Structured Literature Review

S Goellner, M Tropmann-Frick, B Brumen - arXiv preprint arXiv …, 2024 - arxiv.org
Our research endeavors to advance the concept of responsible artificial intelligence (AI), a
topic of increasing importance within EU policy discussions. The EU has recently issued …

Getting fairness right: Towards a toolbox for practitioners

B Ruf, C Boutharouite, M Detyniecki - arXiv preprint arXiv:2003.06920, 2020 - arxiv.org
The potential risk of AI systems unintentionally embedding and reproducing bias has
attracted the attention of machine learning practitioners and society at large. As policy …