Artificial Intelligence

Elsevier, Digital Signal Processing: A Review Journal, Volume 119, December 2021
The field of digital histopathology has seen incredible growth in recent years. Digital pathology is becoming a relevant tool in healthcare, industrial and research sectors to reduce the saturation of pathology departments and improve the productivity of pathologists by increasing diagnostic accuracy and reducing turnaround times. Artificial Intelligence (AI) algorithms may be used for the identification of relevant regions, extraction of features from a histological image and overall classification of images into specific classes.
The article examines a number of ways in which the use of artificial intelligence technologies to predict the performance of individuals and to reach decisions concerning the entitlement of individuals to positive decisions impacts individuals and society. It analyses the effects using a social justice lens. Particular attention is paid to the experiences of individuals who have historically experienced disadvantage and discrimination.
With female names, voices and characters, artificially intelligent Virtual Personal Assistants such as Alexa, Cortana, and Siri appear to be decisively gendered female. Through an exploration of the various facets of gendering at play in the design of Siri, Alexa and Cortana, we argue that this gendering of VPAs as female may pose a societal harm, insofar as they reproduce normative assumptions about the role of women as submissive and secondary to men. In response, this article turns to examine the potential role and scope of data protection law as one possible solution to this problem.
The UN 17 Sustainable Development Goals (SDGs) and the 169 targets have been considered in multidisciplinary approaches worldwide. Whereas, several environmental, economic and social development concerns have been covered by the UN 2030 Agenda. The aim of this research is to investigate the complexity of the interactions between building materials and the SDGs, in an attempt to establish a knowledge-based decision support system for policy-makers, designers and construction stakeholders regarding the implementation of 2030 agenda.