[HTML][HTML] Smarter eco-cities and their leading-edge artificial intelligence of things solutions for environmental sustainability: A comprehensive systematic review
The recent advancements made in the realms of Artificial Intelligence (AI) and Artificial
Intelligence of Things (AIoT) have unveiled transformative prospects and opportunities to …
Intelligence of Things (AIoT) have unveiled transformative prospects and opportunities to …
Explainable artificial intelligence for autonomous driving: A comprehensive overview and field guide for future research directions
Autonomous driving has achieved significant milestones in research and development over
the last two decades. There is increasing interest in the field as the deployment of …
the last two decades. There is increasing interest in the field as the deployment of …
Environmentally sustainable smart cities and their converging AI, IoT, and big data technologies and solutions: an integrated approach to an extensive literature …
There have recently been intensive efforts aimed at addressing the challenges of
environmental degradation and climate change through the applied innovative solutions of …
environmental degradation and climate change through the applied innovative solutions of …
The sustainability of artificial intelligence: An urbanistic viewpoint from the lens of smart and sustainable cities
T Yigitcanlar, F Cugurullo - Sustainability, 2020 - mdpi.com
The popularity and application of artificial intelligence (AI) are increasing rapidly all around
the world—where, in simple terms, AI is a technology which mimics the behaviors commonly …
the world—where, in simple terms, AI is a technology which mimics the behaviors commonly …
Artificial intelligence explainability: the technical and ethical dimensions
In recent years, several new technical methods have been developed to make AI-models
more transparent and interpretable. These techniques are often referred to collectively as 'AI …
more transparent and interpretable. These techniques are often referred to collectively as 'AI …
Ethical assurance: a practical approach to the responsible design, development, and deployment of data-driven technologies
C Burr, D Leslie - AI and Ethics, 2023 - Springer
This article offers several contributions to the interdisciplinary project of responsible
research and innovation in data science and AI. First, it provides a critical analysis of current …
research and innovation in data science and AI. First, it provides a critical analysis of current …
IEEE P7001: A proposed standard on transparency
This paper describes IEEE P7001, a new draft standard on transparency of autonomous
systems. In the paper, we outline the development and structure of the draft standard. We …
systems. In the paper, we outline the development and structure of the draft standard. We …
Guidance on the assurance of machine learning in autonomous systems (AMLAS)
Machine Learning (ML) is now used in a range of systems with results that are reported to
exceed, under certain conditions, human performance. Many of these systems, in domains …
exceed, under certain conditions, human performance. Many of these systems, in domains …
Diffused responsibility: attributions of responsibility in the use of AI-driven clinical decision support systems
Good decision-making is a complex endeavor, and particularly so in a health context. The
possibilities for day-to-day clinical practice opened up by AI-driven clinical decision support …
possibilities for day-to-day clinical practice opened up by AI-driven clinical decision support …
Artificial intelligence for safety-critical systems in industrial and transportation domains: A survey
Artificial Intelligence (AI) can enable the development of next-generation autonomous safety-
critical systems in which Machine Learning (ML) algorithms learn optimized and safe …
critical systems in which Machine Learning (ML) algorithms learn optimized and safe …