A review: Challenges and opportunities for artificial intelligence and robotics in the offshore wind sector

The UK has set plans to increase offshore wind capacity from 22GW to 154GW by 2030. With such tremendous growth, the sector is now looking to Robotics and Artificial Intelligence (RAI) in order to tackle lifecycle service barriers as to support sustainable and profitable offshore wind energy production. Today, RAI applications are...

On humans, algorithms and data

Purpose: The purpose of this paper is to introduce the papers in this special issue on humans, algorithms and data. The authors first set themselves the task of identifying the main challenges arising from the adoption and use of algorithms and data analytics in management, accounting and organisations in general, many of which have been...

Perspectives on Future Power System Control Centers for Energy Transition

Today's power systems are seeing a paradigm shift under the energy transition, sparkled by the electrification of demand, digitalisation of systems, and an increasing share of decarbonated power generation. Most of these changes have a direct impact on their control centers, forcing them to handle weather-based energy resources, new...

A review on innovative optical devices for the diagnosis of human soil-transmitted helminthiasis and schistosomiasis: From research and development to commercialisation: from research and development to commercialization

Diagnosis of soil-transmitted helminth (STH) and schistosome infections relies largely on conventional microscopy which has limited sensitivity, requires highly trained personnel and is error-prone. Rapid advances in miniaturization of optical systems, sensors and processors have enhanced research and development of digital and automated...

Designing for transparent intentions in AI powered energy systems

The development of intelligent systems has created enormous opportunities to improve and change human lives. These systems are heavily reliant and driven by data and algorithms to achieve optimal user experiences for myriad users. However, these data-driven products/services are multi-dimensional and multifaceted and do not necessarily have the...

Implications of the use of artificial intelligence in public governance: A systematic literature review and a research agenda

To lay the foundation for the special issue that this research article introduces, we present 1) a systematic review of existing literature on the implications of the use of Artificial Intelligence (AI) in public governance and 2) develop a research agenda. First, an assessment based on 26 articles on this topic reveals much exploratory,...

A patient journey map to improve the home isolation experience of persons with mild COVID-19: Design research for service touchpoints of artificial intelligence in eHealth

Background: In the context of the COVID-19 outbreak, 80% of the persons who are infected have mild symptoms and are required to self-recover at home. They have a strong demand for remote health care that, despite the great potential of artificial intelligence (AI), is not met by the current services of eHealth. Understanding the real needs of...

Symbiotic System of Systems Design for Safe and Resilient Autonomous Robotics in Offshore Wind Farms

To reduce Operation and Maintenance (OM) expenditure on offshore wind farms, wherein 80% of the cost relates to deploying personnel, the offshore wind sector looks to advances in Robotics and Artificial Intelligence (RAI) for solutions. Barriers to residential Beyond Visual Line of Sight (BVLOS) autonomy as a service, include operational...

MindMatch: Combining AI and strategic foresight to future-proof online brand positioning

The world that organizations today are forced to navigate is volatile, uncertain, complex and ambiguous - a VUCA world. Their long-term survival is continuously endangered. A strong brand positioning is important to secure survival and deeply connect with customers. However, changes in consumer needs and expectations call for new ways to stay...

AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations

This article reports the findings of AI4People, an Atomium—EISMD initiative designed to lay the foundations for a “Good AI Society”. We introduce the core opportunities and risks of AI for society; present a synthesis of five ethical principles that should undergird its development and adoption; and offer 20 concrete recommendations—to assess...