Safe and ethical

Explaining the decisions of anomalous sound detectors

Deciding whether a sound is anomalous is accomplished by comparing it to a learnt...

K. T. Mai, T. Davies, L. D. Griffin, E. Benetos, "Explaining the decisions of anomalous sound detectors", in 7th Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE), Nov. 2022.

PATH-AI: Mapping an intercultural path to privacy, agency, and trust in human-AI ecosystems

Expanding and enriching current AI ethics discussions by including international cultural views

Artificial intelligence (Multi-agent systems)

Developing the techniques to enable AI systems to effectively interact with each other: autonomously and safely cooperating, coordinating, and negotiating in the furtherance of our delegated goals.

Artificial intelligence (Safe and ethical)

Building the technical foundations for the safe and ethical deployment of algorithmic systems, working in partnership with other disciplines and stakeholders.

Explaining the decisions of anomalous sound detectors

Deciding whether a sound is anomalous is accomplished by comparing it to a learnt...

UK-Japan robotics and AI workshops produce promising collaborations in health, transport and smart city infrastructure

LONDON—The first formal collaboration between the UK and Japan in the fields of robotics...

The Turing Lectures: Policy fights back

Anti-bias test implemented by Amazon

A test for detecting bias in AI systems, created by Turing researchers, has been adopted by Amazon Web Services

Ensuring quality in AI healthcare technologies

A project co-funded by the Turing has developed the first international guidelines for clinical trials involving AI

Bianca Schor

Stefan Radic Webster

Dev Aditya

Fatma Elsafoury

Yumeng Zhang

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Christos Panoutsakopoulos

Ayça Ayabey

Tianle Zhang

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