Beyond panoptic surveillance: On the ethical dilemmas of the connected workplace

Technological advances such as the Internet-of-Things, big data, and artificial intelligence have enabled new ways of managerial oversight moving away from panoptic surveillance to what we call “connected surveillance”. The COVID-19 pandemic has accelerated the adoption of connected surveillance, which purpose is not only scrutinizing employees’ work performance, but also health, personal beliefs, and other private matters. With the implementation of connected workplaces, therefore, various ethical dilemmas arise. We highlight four emerging dilemmas, namely: (1) the good of the individual versus the good of the community, (2) ownership versus information disclosure, (3) justice versus mercy, and (4) truth versus loyalty. We discuss those ethical dilemmas for the case of corporate wellness programs which is frequently being used as guise to introduce connected surveillance. Following a socio-technical perspective, we discuss ethical responses that focus on people involvement and technology assessment. We highlight practical responses that can aim at mitigating the dilemmas

Beyond Panoptic Surveillance: On the Ethical Dilemmas of the Connected Workplace

Technological advances such as the Internet-of-Things, big data, and artificial intelligence have enabled new ways of managerial oversight moving away from panoptic surveillance to what we call “connected surveillance”. The COVID-19 pandemic has accelerated the adoption of connected surveillance which purpose is not only scruitizing employees’ work performance but also health, personal beliefs, and other private matters. With the implementation of connected workplaces, therefore, various ethical dilemmas arise. We highlight four emerging dilemmas, namely: (1) the good of the individual versus the good of the community, (2) ownership versus information disclosure, (3) justice versus mercy, and (4) truth versus loyalty. We discuss those ethical dilemmas for the case of corporate wellness programs which is frequently used as guise to introduce connected surveillance. Following a socio-technical perspective, we discuss ethical responses that focus on people involvement and technology assessment. We also highlight practical responses that can aim at mitigating the dilemmas

Machines that Dream: A New Challenge in Behavioral-Basic Robotics

The digital revolution is transforming contemporary society. Connective intelligence is an emerging property deriving from the embedding of intelligence into the connected data, concepts, applications, and people. Furthermore, the progress in behavioral-basic robotics opens new fields of innovative investigation.In this challenging context, might it make sense to provide machines with dreaming-like functions? Indeed, machine inactivity can be assimilated to the sleep state of living beings. Furthermore, when dreaming, we can interact with what we take to be other individuals and things and, in certain respects, the same happens in the virtual world.This paper highlights some new directions that have emerged in the field of Artificial Intelligence, focusing on the total Turing test and dreaming machines

Multimodal Wearable Intelligence for Dementia Care in Healthcare 4.0: A Survey

As a new revolution of Ubiquitous Computing and Internet of Things, multimodal wearable intelligence technique is rapidly becoming a new research topic in both academic and industrial fields. Owning to the rapid spread of wearable and mobile devices, this technique is evolving healthcare from traditional hub-based systems to more personalised healthcare systems. This trend is well-aligned with recent Healthcare 4.0 which is a continuous process of transforming the entire healthcare value chain to be preventive, precise, predictive and personalised, with significant benefits to elder care. But empowering the utility of multimodal wearable intelligence technique for elderly care like people with dementia is significantly challenging considering many issues, such as shortage of cost-effective wearable sensors, heterogeneity of wearable devices connected, high demand for interoperability, etc. Focusing on these challenges, this paper gives a systematic review of advanced multimodal wearable intelligence technologies for dementia care in Healthcare 4.0. One framework is proposed for reviewing the current research of wearable intelligence, and key enabling technologies, major applications, and successful case studies in dementia care, and finally points out future research trends and challenges in Healthcare 4.0

The security challenges in the IoT enabled cyber-physical systems and opportunities for evolutionary computing & other computational intelligence

Internet of Things (IoT) has given rise to the fourth industrial revolution (Industrie 4.0), and it brings great benefits by connecting people, processes and data. However, cybersecurity has become a critical challenge in the IoT enabled cyber physical systems, from connected supply chain, Big Data produced by huge amount of IoT devices, to industry control systems. Evolutionary computation combining with other computational intelligence will play an important role for cybersecurity, such as artificial immune mechanism for IoT security architecture, data mining/fusion in IoT enabled cyber physical systems, and data driven cybersecurity. This paper provides an overview of security challenges in IoT enabled cyber-physical systems and what evolutionary computation and other computational intelligence technology could contribute for the challenges. The overview could provide clues and guidance for research in IoT security with computational intelligence

VITAL-ECG : a de-bias algorithm embedded in a gender-immune device

2Artificial intelligence, sensors technology and sensors networks influence people behavior in everyday life. The diffusion of mobile devices, based on Internet of Things (IoT) paradigms, has created specific solutions for applications, in which physical objects are connected to Internet system. Wearable IoT (WIoT) represents a new IoT area, concerning detection, processing and communication capabilities in the field of healthcare. Vital-ECG is a smart device, related to health monitoring, which complies with gender equality. The wearable device takes the form of a smartwatch, which monitors heart activity and the most important vital parameters: blood oxygen saturation, skin temperature and fatigue level. Electrocardiogram and plethysmogram signals are acquired from Vital-ECG, which is able to track the blood pressure values, through a deep learning implementation. The neural algorithm has been implemented avoiding the "Gender Bias". The gender balance in machine learning, especially in biomedical application, is a crucial point to prevent algorithms from making a distorted prediction, disadvantaging women.partially_openopenPaviglianiti, A; Pasero, EPaviglianiti, A; Pasero,

Smart factory implementation and process innovation : a preliminary maturity model for leveraging digitalization in manufacturing moving to smart factories presents specific challenges that can be addressed through a structured approach focused on people, processes, and technologies

The development of novel digital technologies connected to the Internet of Things, along with advancements in artificial intelligence and automation, is enabling a new wave of manufacturing innovation. “Smart factories” will leverage industrial equipment that communicates with users and with other machines, automated processes, and mechanisms to facilitate real-time communication between the factory and the market to support dynamic adaptation and maximize efficiency. Smart factories can yield a range of benefits, such as increased process efficiency, product quality, sustainability, and safety and decreased costs. However, companies face immense challenges in implementing smart factories, given the large-scale, systemic transformation the move requires. We use data gathered from in-depth studies of five factories in two leading automotive manufacturers to analyze these challenges and identify the key steps needed to implement the smart factory concept. Based on our analysis, we offer a preliminary maturity model for smart factory implementation built around three overarching principles: cultivating digital people, introducing agile processes, and configuring modular technologies.fi=vertaisarvioitu|en=peerReviewed

Internet of Things brings Revolution in eHealth: Achievements and Challenges

The medical field has benefited greatly from the technological revolution around our world, as well as the introduction of artificial intelligence (AI) and the Internet of Things (IoT). IoT aims to make life easier and more convenient by bridging the various gaps in connecting various devices that people employ. A wide range of applications and technologies, including wearable device development, advanced care services, personalized care packages, and remote patient monitoring, benefit healthcare professionals and patients. These technologies gave rise to new terms such as the Internet of Medical Things (IoMT), the Internet of Health Things (IoHT), e-Health, and telemedicine. With the advent of technology and the availability of various connected devices, smart healthcare, which has grown in popularity in recent years, has been positively redefined. Through the selection of literature reviews, we systematically investigate how the adoption (and integration) of IoT technologies in healthcare is changing the way traditional services and products are delivered. This paper outlines (i) selected IoT technologies and paradigms related to health care, as well as, (ii) various implementation scenarios for IoT-based models. It also discusses (iii) the various advantages of these applications and finally, (iv) a summary of lessons learned and recommendations for future applications

The Internet of Things Connectivity Binge: What are the Implications?

Despite wide concern about cyberattacks, outages and privacy violations, most experts believe the Internet of Things will continue to expand successfully the next few years, tying machines to machines and linking people to valuable resources, services and opportunities