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 …

Thinking responsibly about responsible AI and 'the dark side'of AI

P Mikalef, K Conboy, JE Lundström… - European Journal of …, 2022 - Taylor & Francis
Artificial Intelligence (AI) has been argued to offer a myriad of improvements in how we work
and live. The notion of AI comprises a wide-ranging set of technologies that allow individuals …

[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 …

[HTML][HTML] 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 …

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 …

[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 …

Research priorities for robust and beneficial artificial intelligence: an open letter

S Russell, T Dietterich, E Horvitz, B Selman, F Rossi… - AI Magazine, 2015 - ojs.aaai.org
Artificial intelligence (AI) research has explored a variety of problems and approaches since
its inception, but for the last 20 years or so has been focused on the problems surrounding …

[PDF][PDF] What do we do about the biases in Al

J Manyika, J Silberg, B Presten - Harvard Business Review, 2019 - nwscrs.org
Over the past few years, society has started to wrestle with just how much human biases can
make their way into artificial intelligence systems—with harmful results. At a time when many …

[HTML][HTML] Beyond the promise: implementing ethical AI

R Eitel-Porter - AI and Ethics, 2021 - Springer
Artificial Intelligence (AI) applications can and do have unintended negative consequences
for businesses if not implemented with care. Specifically, faulty or biased AI applications risk …

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 …