Developing future human-centered smart cities: Critical analysis of smart city security, Data management, and Ethical challenges
As the globally increasing population drives rapid urbanization in various parts of the world,
there is a great need to deliberate on the future of the cities worth living. In particular, as …
there is a great need to deliberate on the future of the cities worth living. In particular, as …
[HTML][HTML] Security, privacy and risks within smart cities: Literature review and development of a smart city interaction framework
The complex and interdependent nature of smart cities raises significant political, technical,
and socioeconomic challenges for designers, integrators and organisations involved in …
and socioeconomic challenges for designers, integrators and organisations involved in …
Trustworthy LLMs: A survey and guideline for evaluating large language models' alignment
Ensuring alignment, which refers to making models behave in accordance with human
intentions [1, 2], has become a critical task before deploying large language models (LLMs) …
intentions [1, 2], has become a critical task before deploying large language models (LLMs) …
The benefits, risks and bounds of personalizing the alignment of large language models to individuals
Large language models (LLMs) undergo 'alignment'so that they better reflect human values
or preferences, and are safer or more useful. However, alignment is intrinsically difficult …
or preferences, and are safer or more useful. However, alignment is intrinsically difficult …
Personalisation within bounds: A risk taxonomy and policy framework for the alignment of large language models with personalised feedback
Large language models (LLMs) are used to generate content for a wide range of tasks, and
are set to reach a growing audience in coming years due to integration in product interfaces …
are set to reach a growing audience in coming years due to integration in product interfaces …
A critical review of algorithms in HRM: Definition, theory, and practice
MM Cheng, RD Hackett - Human Resource Management Review, 2021 - Elsevier
The recent surge of interest concerning data analytics in both business and academia has
been accompanied by significant advances in the commercialization of HRM (Human …
been accompanied by significant advances in the commercialization of HRM (Human …
Bias preservation in machine learning: the legality of fairness metrics under EU non-discrimination law
Western societies are marked by diverse and extensive biases and inequality that are
unavoidably embedded in the data used to train machine learning. Algorithms trained on …
unavoidably embedded in the data used to train machine learning. Algorithms trained on …
[PDF][PDF] Discrimination, artificial intelligence, and algorithmic decision-making
F Zuiderveen Borgesius - Council of Europe, Directorate General of …, 2018 - pure.uva.nl
This report, written for the Anti-discrimination department of the Council of Europe, concerns
discrimination caused by algorithmic decision-making and other types of artificial …
discrimination caused by algorithmic decision-making and other types of artificial …
Prohibitive factors to the acceptance of Internet of Things (IoT) technology in society: A smart-home context using a resistive modelling approach
With the advent of various Internet of Things (IoT) technologies, smart-homes have become
an important application area. However, the low end-user penetration of the smart-home …
an important application area. However, the low end-user penetration of the smart-home …
Ethical issues in learning analytics: A review of the field
D Tzimas, S Demetriadis - Educational Technology Research and …, 2021 - Springer
Learning analytics (LA) collects, analyses, and reports big data about learners to optimise
learning. LA ethics is an interdisciplinary field of study that addresses moral, legal, and …
learning. LA ethics is an interdisciplinary field of study that addresses moral, legal, and …