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 …
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 …
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 …
brought about unprecedented advancements in various domains. However, concerns …
Bridging the gap from AI ethics research to practice
The study of fairness in machine learning applications has seen significant academic
inquiry, research and publication in recent years. Concurrently, technology companies have …
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 …
making, medical diagnosis, and other domains have simultaneously raised concerns about …
Ethical adversaries: Towards mitigating unfairness with adversarial machine learning
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 …
reaching impacts on society. Unexpected behaviour and unfair decision processes are …
Certifai: Counterfactual explanations for robustness, transparency, interpretability, and fairness of artificial intelligence models
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 …
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 …
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 …
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 …
attracted the attention of machine learning practitioners and society at large. As policy …