Results 111 to 120 of about 2,086,069 (292)

‘Auditing for equity’: Desiderata for auditing of biases in current data-driven health systems

Journal of Health Equity
In the discourse on advancing health equity, there is an opportunity for technologists to work with scholars of public health and allied disciplines.
Marc Cheong
doaj   +1 more source

The Ethics of AI in Games

IEEE Transactions on Affective Computing
Version Accepted for the IEEE Transactions on Affective Computing Special Issue on Ethics in Affective ...
David Melhart, Julian Togelius, Benedikte Mikkelsen, Christoffer Holmgård, Georgios N. Yannakakis   +4 more
openaire   +3 more sources

Monolithic Oxidation Enables Ultrathin Vertically Graded Tantalum Oxide for Low‐Voltage, Low‐Variability Memristive Switching

Advanced Functional Materials, EarlyView.
Monolithic UV‐ozone oxidation of Ta forms an ultrathin Ta2O5/TaOx bilayer enabling resistive switching with a vertical defect gradient. A stoichiometric surface layer over an oxygen‐deficient sublayer promotes localized filament nucleation near the top interface, enabling low‐voltage operation, and reduced cycle‐to‐cycle variability.
Seunghoon Yang, Dong Hyun Lee, Conan Weiland, Won‐Il Lee, Kim Kisslinger, Mingzhao Liu, Aswin kumar Anbalagan, Xiao Tong, Soumyajit Mandal, Nikhil Tiwale, Houk Jang, Chang‐Yong Nam   +11 more
wiley   +1 more source

Cross-cultural transfer learning framework for ideological education in global AI ethics governance

Discover Artificial Intelligence
This paper introduces a novel framework for integrating cross-cultural perspectives into AI ethics governance using Cross-Cultural Transfer Learning (CCTL).
Jiaoyang Lv, Yu Dong
doaj   +1 more source

A holistic ubuntu artificial intelligence ethics approach in South Africa

Verbum et Ecclesia
Artificial intelligence (AI) is one of the most spoken-about topics in the media, academia, government and other platforms. One of the aspects that is often discussed is the ethical implications of AI and approaches to mitigate the risks.
Katleho K. Mokoena
doaj   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source

On the Ethics of Constructing Conscious AI

, 2023
Revised version to appear in "Computational Approaches to Conscious AI", edited by A. Chella (World Scientific, in preparation).
openaire   +2 more sources

Silicone Breast Implants as a Model System for Understanding Polymer Permeation in Soft Materials In Vivo

Advanced Healthcare Materials, EarlyView.
Silicone breast implants are presented as a model system for understanding polymer permeation in vivo. Rather than representing material failure, “gel bleed” emerges from solution–diffusion transport‐mediated. By integrating polymer architecture, physicochemical transport, and biointerfacial processes, this review provides a unified framework that ...
D. Bouyer, H. Mutlu, C. Charmette, E. Randrianaridera, Z. Adaidi, R. Hedna, L. Pieuchot, I. Pluvy, K. Anselme, N. Couturier, J. P. Mericq, A. Ponche, I. Brigaud   +12 more
wiley   +1 more source

Exploring AI Ethics Syllabi Through NLP Cluster Analysis

Proceedings of the International Florida Artificial Intelligence Research Society Conference
With new technology comes new responsibilities. Examining AI through an ethical lens has become increasingly important and significant. Numerous professional organizations, such as IEEE have developed AI ethics guidelines.
Kerrie Hooper, Stephanie Lunn
doaj   +1 more source

AI strategy to execution

, 2023
In this book, we discuss the “strategy to the execution gap” a leader of an organization encounters while adopting Artificial Intelligence (AI) in that organization.
Thoppan Mohanchandralal, Sudaman, Kumar, Dinesh U, Bradshaw, Anthony, Grumiau, Christopher   +3 more
core