[HTML][HTML] Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review
AAH de Hond, AM Leeuwenberg, L Hooft… - NPJ digital …, 2022 - nature.com
While the opportunities of ML and AI in healthcare are promising, the growth of complex data-
driven prediction models requires careful quality and applicability assessment before they …
driven prediction models requires careful quality and applicability assessment before they …
A systematic review of human–computer interaction and explainable artificial intelligence in healthcare with artificial intelligence techniques
Artificial intelligence (AI) is one of the emerging technologies. In recent decades, artificial
intelligence (AI) has gained widespread acceptance in a variety of fields, including virtual …
intelligence (AI) has gained widespread acceptance in a variety of fields, including virtual …
Generalized out-of-distribution detection: A survey
Out-of-distribution (OOD) detection is critical to ensuring the reliability and safety of machine
learning systems. For instance, in autonomous driving, we would like the driving system to …
learning systems. For instance, in autonomous driving, we would like the driving system to …
Six human-centered artificial intelligence grand challenges
Widespread adoption of artificial intelligence (AI) technologies is substantially affecting the
human condition in ways that are not yet well understood. Negative unintended …
human condition in ways that are not yet well understood. Negative unintended …
Thinking responsibly about responsible AI and 'the dark side'of AI
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 …
and live. The notion of AI comprises a wide-ranging set of technologies that allow individuals …
Behavior-1k: A benchmark for embodied ai with 1,000 everyday activities and realistic simulation
We present BEHAVIOR-1K, a comprehensive simulation benchmark for human-centered
robotics. BEHAVIOR-1K includes two components, guided and motivated by the results of an …
robotics. BEHAVIOR-1K includes two components, guided and motivated by the results of an …
[图书][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 …
[HTML][HTML] The uselessness of AI ethics
L Munn - AI and Ethics, 2023 - Springer
As the awareness of AI's power and danger has risen, the dominant response has been a
turn to ethical principles. A flood of AI guidelines and codes of ethics have been released in …
turn to ethical principles. A flood of AI guidelines and codes of ethics have been released in …
Investigating explainability of generative AI for code through scenario-based design
What does it mean for a generative AI model to be explainable? The emergent discipline of
explainable AI (XAI) has made great strides in helping people understand discriminative …
explainable AI (XAI) has made great strides in helping people understand discriminative …
[HTML][HTML] Assessing behavioral data science privacy issues in government artificial intelligence deployment
JR Saura, D Ribeiro-Soriano… - Government Information …, 2022 - Elsevier
In today's global culture where the Internet has established itself as the main tool for
communication and commerce, the capability to massively analyze and predict citizens' …
communication and commerce, the capability to massively analyze and predict citizens' …