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Artificial intelligence (AI) policy debates are replete with metaphors. Even the term ‘AI’ relies upon a metaphor for the human quality of intelligence, and its development is regularly described as a ‘race’. While metaphors are useful in highlighting some features of their subject, they are so powerful that it can be difficult to imagine or discuss their subject in other terms. Here, we explore some challenges presented by the central metaphor of ‘intelligence’, examine how AI metaphors emphasise ...

- Artificial Intelligence: the real driving force of IoT. - Artificial Intelligence of Things (AIoT) incorporates all the possibilities of AI and IoT, but also all ethical and legal concerns. - Potential advantages and possibilities for EU of Artificial Intelligence of Things.

Thermal imaging cameras are currently being installed in office buildings, hospitals, shopping malls, schools and airports as a means of detecting people with fever-like symptoms. Given that these cameras are not necessarily designed to operate as medical devices, there are questions about their suitability in the context of the current pandemic. This note provides an overview of the use of thermal imaging empowered with artificial intelligence (AI) capabilities, its suitability in the context of ...

As artificial intelligence (AI) companies and other organisations are seeking ways to comply with ethical principles and requirements, blockchain, under specific circumstances, could be seen as a means to safeguard that AI is deployed in an ethically sound manner.

As happens with all applications of AI, autonomous vehicles require abundant data. Information external to the vehicle is crucial as it needs to know the structure of the road and the presence of obstacles or other vehicles in its path. Internal information is also essential, as the vehicle needs to know its own status and the reliability of critical elements, such as brakes. Even if autonomous vehicles need to detect traditional signals and allocate uncertainty areas while sharing the public thoroughfare ...

Thermal imaging cameras are currently being installed in office buildings, hospitals, shopping malls, schools and airports as a means of detecting people with fever-like symptoms. Given that these cameras are not necessarily designed to operate as medical devices, there are questions about their suitability in the context of the current pandemic. This note provides an overview of the use of thermal imaging empowered with artificial intelligence (AI) capabilities, its suitability in the context of ...

As decisions about who should get tested in an airport are important from public health and privacy perspectives, contact tracing and targeted testing based on AI-powered PLFs should be subject to thorough validation and accountability requirements so as to gain public trust and acceptance.

While some argue that AI can potentially be useful or even indispensable in ‘green transitions’, important questions remain open. Should AI be only used in resolving different specific problems (for example, intelligent pollinating robots replacing a declining bee population) or should AI be employed in ‘governing’ the sustainability of complex socio-economic systems such as mobility, food, and energy? While the latter option is currently technically unattainable and may be ethically dubious, it ...

Artificial intelligence (AI) is probably the defining technology of the last decade, and perhaps also the next. The aim of this report is to support meaningful reflection and productive debate about AI by providing accessible information about the full range of current and speculative techniques and their associated impacts, and setting out a wide range of regulatory, technological and societal measures that could be mobilised in response.

This study addresses the relation between the EU General Data Protection Regulation (GDPR) and artificial intelligence (AI). It considers challenges and opportunities for individuals and society, and the ways in which risks can be countered and opportunities enabled through law and technology. The study discusses the tensions and proximities between AI and data protection principles, such as in particular purpose limitation and data minimisation. It makes a thorough analysis of automated decision-making ...