[HTML][HTML] How can we manage biases in artificial intelligence systems–A systematic literature review

PS Varsha - International Journal of Information Management Data …, 2023 - Elsevier
Artificial intelligence is similar to human intelligence, and robots in organisations always
perform human tasks. However, AI encounters a variety of biases during its operational …

Artificial intelligence in innovation management: A review of innovation capabilities and a taxonomy of AI applications

F Gama, S Magistretti - Journal of Product Innovation …, 2025 - Wiley Online Library
Artificial intelligence (AI) is a promising generation of digital technologies. Recent
applications and research suggest that AI can not only influence but also accelerate …

Should chatgpt be biased? challenges and risks of bias in large language models

E Ferrara - arxiv preprint arxiv:2304.03738, 2023 - arxiv.org
As the capabilities of generative language models continue to advance, the implications of
biases ingrained within these models have garnered increasing attention from researchers …

Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge

W Bulten, K Kartasalo, PHC Chen, P Ström… - Nature medicine, 2022 - nature.com
Artificial intelligence (AI) has shown promise for diagnosing prostate cancer in biopsies.
However, results have been limited to individual studies, lacking validation in multinational …

On the opportunities and risks of foundation models

R Bommasani, DA Hudson, E Adeli, R Altman… - arxiv preprint arxiv …, 2021 - arxiv.org
AI is undergoing a paradigm shift with the rise of models (eg, BERT, DALL-E, GPT-3) that are
trained on broad data at scale and are adaptable to a wide range of downstream tasks. We …

The value of standards for health datasets in artificial intelligence-based applications

A Arora, JE Alderman, J Palmer, S Ganapathi… - Nature Medicine, 2023 - nature.com
Artificial intelligence as a medical device is increasingly being applied to healthcare for
diagnosis, risk stratification and resource allocation. However, a growing body of evidence …

Threats by artificial intelligence to human health and human existence

F Federspiel, R Mitchell, A Asokan, C Umana… - BMJ global …, 2023 - gh.bmj.com
While artificial intelligence (AI) offers promising solutions in healthcare, it also poses a
number of threats to human health and well-being via social, political, economic and security …

[HTML][HTML] Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond

G Yang, Q Ye, J **a - Information Fusion, 2022 - Elsevier
Abstract Explainable Artificial Intelligence (XAI) is an emerging research topic of machine
learning aimed at unboxing how AI systems' black-box choices are made. This research field …

[KİTAP][B] Human-centered AI

B Shneiderman - 2022 - books.google.com
The remarkable progress in algorithms for machine and deep learning have opened the
doors to new opportunities, and some dark possibilities. However, a bright future awaits …

Bridging the gap between ethics and practice: guidelines for reliable, safe, and trustworthy human-centered AI systems

B Shneiderman - ACM Transactions on Interactive Intelligent Systems …, 2020 - dl.acm.org
This article attempts to bridge the gap between widely discussed ethical principles of Human-
centered AI (HCAI) and practical steps for effective governance. Since HCAI systems are …