External Publication

Liability: When Things Go Wrong in an Increasingly Interconnected and Autonomous World: A European View

In the following article, Scott Marcus first considers the sources of potential defects and what might be done to redress them. He then goes on to consider what constitutes a product defect as well as the associated liability in light of recent (and potential future) EU Directives.

By: and Date: June 6, 2019 Topic: Digital economy and innovation

The Internet of Things (IoT) potentially offers society not only economic advantage but also gains in product quality and safety. At the same time, IoT (in conjunction with related technologies such as artificial intelligence and machine learning, to which we collectively refer as IoT/AI/ML) may open new potential product safety and liability exposures.

What problems might be anticipated? Are potential exposures dealt with adequately by existing legal and policy measures, or do they call for some re-thinking of existing law and regulation? The European Union (EU) has adopted a common approach to two key groups of policy instruments in order to facilitate trade of goods and services throughout the EU: (1) product safety regulation, which establishes standards to which goods must conform; and (2) liability regulation, which enables consumers to recover their costs if they are harmed or injured due to a malfunctioning product (or potentially a defective service). Both are important, but our focus here is on liability.

A few key questions emerge:

Who is responsible? The merchant? The manufacturer? The programmer? Or the service or device itself? Value chains in this interconnected universe are complex. The use of machine learning poses particularly daunting challenges.

How is the user to achieve redress? The burden of proof must be neither too high (making it impractical  or injured parties to receive compensation) nor too low (which risks needlessly impeding innovation).

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Upcoming Event

Jun
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Future of Work and Inclusive Growth Annual Conference

Annual Conference of the Future of Work and Inclusive Growth project

Speakers: Erik Brynjolfsson, Francis Green, Ivailo Kalfin, Laura Nurski, J. Scott Marcus, Anoush Margaryan, Julia Nania, Poon King Wang and Fabian Stephany Topic: Digital economy and innovation Location: Bruegel, Rue de la Charité 33, 1210 Brussels
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Blog Post

The dark side of artificial intelligence: manipulation of human behaviour

Transparency over systems and algorithms, rules and public awareness are needed to address potential danger of manipulation by artificial intelligence.

By: Georgios Petropoulos Topic: Digital economy and innovation Date: February 2, 2022
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Working Paper

Market power and artificial intelligence work on online labour markets

In this working paper, the authors investigate three alternative but complementary indicators of market power on one of the largest online labour markets (OLMs) in Europe.

By: Néstor Duch-Brown, Estrella Gomez-Herrera, Frank Mueller-Langer and Songül Tolan Topic: Digital economy and innovation Date: December 16, 2021
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Past Event

Past Event

Future of work and inclusive growth: Digital dialogues

An end of year series of digital discussions on the Future of Work and Inclusive Growth in Europe.

Speakers: Janine Berg, Arturo Franco, Stijn Broecke, Esther Lynch, Mario Mariniello, Laura Nurski, Leah Ruppanner, Nicolas Schmit, Kim Van Sparrentak and Tilman Tacke Topic: Digital economy and innovation, Inclusive growth Location: Bruegel, Rue de la Charité 33, 1210 Brussels Date: December 7, 2021
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Blog Post

Inclusive growth

The triple constraint on artificial-intelligence advancement in Europe

Skills, data and financing shortcomings constrain artificial-intelligence innovation in Europe.

By: Mia Hoffmann and Laura Nurski Topic: Digital economy and innovation, Inclusive growth Date: December 6, 2021
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Policy Contribution

What is holding back artificial intelligence adoption in Europe?

To accelerate the roll-out of AI technology across the European Union, policymakers should alleviate constraints to adoption faced by firms, both in the environmental context and in the technological context.

By: Mia Hoffmann and Laura Nurski Topic: Digital economy and innovation Date: November 30, 2021
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Policy Contribution

Inclusive growth

Biometric technologies at work: a proposed use-based taxonomy

Technology may not have a significant negative impact on the quantity of jobs available to humans, but it certainly transforms them, changing how jobs are performed, with implications for workers’ quality of life and for productivity. Hence the focus shifts from a quantitative to a qualitative perspective.

By: Mario Mariniello and Mia Hoffmann Topic: Digital economy and innovation, Inclusive growth Date: November 17, 2021
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Blog Post

Inclusive growth

Concentration of artificial intelligence and other frontier IT skills

Online job postings indicate that demand from top tech firms for frontier IT skills is about double their demand for other IT skills. This could indicate increasing concentration of skills in a few firms, with other firms left behind.

By: Wang Jin, Georgios Petropoulos and Sebastian Steffen Topic: Digital economy and innovation, Inclusive growth Date: October 21, 2021
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Policy Contribution

Commercialisation contracts: European support for low-carbon technology deployment

To cut the cost of decarbonisation significantly, the best solution would be to provide investors with a predictable carbon price that corresponds to the envisaged decarbonisation pathway.

By: Ben McWilliams and Georg Zachmann Topic: Green economy Date: July 1, 2021
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Blog Post

Inclusive growth

Workers can unlock the artificial intelligence revolution

Employers and artificial intelligence developers should ensure new technologies work for workers by making them trustworthy, easy to use and valuable in day-to-day work.

By: Mia Hoffmann and Laura Nurski Topic: Inclusive growth Date: June 30, 2021
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Blog Post

Inclusive growth

Algorithmic management is the past, not the future of work

Algorithmic management is the twenty-first century’s scientific management. Job quality measures should be included explicitly in health and safety risk assessments for workplace artificial-intelligence systems.

By: Laura Nurski Topic: Digital economy and innovation, Inclusive growth Date: May 6, 2021
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Past Event

Past Event

AI regulation at the service of industrial policy?

What role should the EU play in the regulation of AI?

Speakers: Julia Anderson, Joanna Bryson, Annika Linck and Martin Ulbrich Topic: Digital economy and innovation Date: April 22, 2021
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