[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 …
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
Artificial intelligence (AI) is a promising generation of digital technologies. Recent
applications and research suggest that AI can not only influence but also accelerate …
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 …
biases ingrained within these models have garnered increasing attention from researchers …
Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge
Artificial intelligence (AI) has shown promise for diagnosing prostate cancer in biopsies.
However, results have been limited to individual studies, lacking validation in multinational …
However, results have been limited to individual studies, lacking validation in multinational …
On the opportunities and risks of foundation models
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 …
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
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 …
diagnosis, risk stratification and resource allocation. However, a growing body of evidence …
Threats by artificial intelligence to human health and human existence
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 …
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
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 …
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 …
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 …
centered AI (HCAI) and practical steps for effective governance. Since HCAI systems are …