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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.

Potentially negative effects of internet use

In-Depth Analysis 13-05-2020

It is increasingly recognised that the internet, in spite of all its benefits to society, can also be correlated with significant harms to individuals and society. Some of these harms have been studied extensively, particularly harms to privacy, harms associated with security and cybercrime, and harms resulting from digital divides. This report covers less studied but equally important harms: harms associated with internet use that concern the health, well-being a functioning of individuals, and ...

Traditional roles, content and methods of education are being challenged – today’s education needs to prepare students for changing tasks and roles both in the labour market and as European citizens. Rethinking education in the digital age should become a central matter for today’s policy-makers and matters for safeguarding European values such as equality, democracy and the rule of law. The current study presents policy options on the basis of a thorough analysis of current strengths and weaknesses ...

The world of work is regularly disrupted by technology development. From mass production to word processing, innovations have regularly transformed our working lives and, with them, the broader economic system. Artificial intelligence (AI) is the latest in a long line of such technologies. What would happen if AI worked just as well as (or perhaps better than) humans, without taking holidays, getting sick, joining unions or drawing salaries?

Europeans are ageing. In 2016, there were 3.3 people of working-age for each citizen over 65 years. By 2070, this will fall to only two. As the population lives longer, our care needs grow, but fewer people will be available to deliver them. Could assistive technologies (ATs) help us to meet the challenges of elderly care?

From the first canvas paintings to the production of musical instruments and contemporary cinema, art as we know it would be simply impossible without resource to humanity’s historical cache of technology development. The reverse of this relationship is also important, with the arts creating driving innovation and generating substantial demand for technology products. In the course of their work, artists often develop new techniques and push the boundaries of the imagination in ways that can provoke ...

This report examines how digital technology change is affecting artistic activity and how artistic activity is affecting digital technology. Artistic activity is broadly defined to include design, film, computer games, architecture, music and fashion as well as art. The focus is on digital technology’s role in creative activity. The study examines global trends with a particular focus on the European Union (EU). It describes likely future trends and sets out policy options to encourage activity at ...

Understanding the past of art and technology can help us to navigate the present and future. Technology and art have always been linked, and are now more intertwined than ever before. Technology and humanity create and shape each other in profound ways. People are not distinct from the technologies they are surrounded by and use – they are also defined and shaped by them. The present study contributes to our understanding of the cyclic nature of the intertwining of technology and art, focussing on ...

How artificial intelligence works

Briefing 14-03-2019

This briefing provides accessible introductions to some of the key techniques that come under the AI banner, grouped into three sections to give a sense the chronology of its development. The first describes early techniques, described as ‘symbolic AI’ while the second focusses on the ‘data driven’ approaches that currently dominate and the third looks towards possible future developments. By explaining what is ‘deep’ about deep learning and showing that AI is more maths than magic, the briefing ...

This briefing explains why AI matters by reviewing some of the key opportunities and challenges it presents, but it does so with reference to the functionality and readiness of the technology. The first section focuses on the opportunities and challenges presented by today’s AI while the second explores longer-term speculative opportunities and challenges that are contingent upon future developments that may never happen.