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Discover our articles that showcase ideas, opinions and perspectives—of different players, experts and stakeholders from every ecosystem—on the greatest advances in research and innovation.

“Biohybrid robotics needs an ethical compass”

• With a huge number of possible applications that range from biodegradable robots that clean up the world’s oceans to prostheses built with living tissue, biohybrid robotics could have a revolutionary impact on industry, medicine and the management of environmental pollution.
• An interdisciplinary research team has highlighted the need to establish an ethical framework for this emerging technology, which takes into account its potential societal impacts and lays down rules future innovation — a measure made all the more urgent by the exploitation of animals involved in certain biohybrid robotics projects.
• They recommend the creation of an interdisciplinary body to investigate three categories of ethical questions raised by biohybrid robotics: questions on their interactivity with humans, on their integrability in humans (protheses, etc.), and, given that they comprise living tissue, on their moral status.
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Soft Robotics Lab - ETH Zürich (lab head: Prof. Robert Katzschmann (not in the picture). From left to right: Jose Greminger (Master student), Pablo Paniagua (Master student), Jakob Schreiner (visiting PhD student), Aiste Balciunaite (PhD student), Miriam Filippi (Established researcher), and Asia Badolato (PhD student).

Datascore: a simple digital trust rating for connected environments

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Soft Robotics Lab – ETH Zürich (lab head: Prof. Robert Katzschmann (not in the picture). From left to right: Jose Greminger (Master student), Pablo Paniagua (Master student), Jakob Schreiner (visiting PhD student), Aiste Balciunaite (PhD student), Miriam Filippi (Established researcher), and Asia Badolato (PhD student).

When will we see living robots? The challenges facing biohybrid robotics

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Three people are collaborating around a laptop in a modern office environment. One of them, standing, is explaining something to the two seated individuals, who appear attentive. On the table, there is a desktop computer, a tablet, and office supplies. Plants and desks are visible in the background.

FairDeDup limits social biases in AI models

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A woman stands in a train, holding a phone. She is wearing a beige coat and a blue and brown scarf. The interior of the train is bright, with seats and metal support bars.

A mathematical model to help AIs anticipate human emotions

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Conceptual image of the Thales Alenia Space data centre - Thales Alenia Space_MasterImageProgrammes

Lower emissions and reinforced digital sovereignty: the plan for datacentres in space

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person wearing bioelectronic fibre arrays for dual-ECG signal acquisition / credit: Wenyu Wang and Yuan Shui

Bioelectronics: disease monitoring sensors that can be printed directly onto human skin

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