Informatics London

Home page where you can find news stories and blog posts regarding Informatics in King's College London.

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MediaFutures

2 years ago • 4 min read

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Plan and Goal Reasoning for Explainable Autonomous Robots

2 years ago • 1 min read

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COHERENT: COllaborative HiErarchical Robotic ExplaNaTions

2 years ago • 1 min read

cys

Overview of UKRI Trustworthy Autonomous Systems TAS Hub

2 years ago • 2 min read

hcc

RAMP VIS

2 years ago • 2 min read

hcc

From role-play to situated feedback

2 years ago • 1 min read

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Provenance-driven and Legally-grounded Explanations for Automated Decisions (PLEAD)

2 years ago • 1 min read

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Secure AI assistantS (SAIS)

2 years ago • 2 min read

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The Trust in Human-Machine Partnership (THuMP)

2 years ago • 1 min read

“Real Attackers Don’t Compute Gradients”: Bridging the Gap Between Adversarial ML Research and Practice

Distinguished Paper Award at USENIX Security Symposium 2022

From sock puppets to immersive and virtual technologies to reshape the media value chain

HackKing’s 2022

Informatics London

MediaFutures

Plan and Goal Reasoning for Explainable Autonomous Robots

COHERENT: COllaborative HiErarchical Robotic ExplaNaTions

Overview of UKRI Trustworthy Autonomous Systems TAS Hub

RAMP VIS

From role-play to situated feedback

Provenance-driven and Legally-grounded Explanations for Automated Decisions (PLEAD)

Secure AI assistantS (SAIS)

The Trust in Human-Machine Partnership (THuMP)

“Real Attackers Don’t Compute Gradients”: Bridging the Gap Between Adversarial ML Research and Practice

Distinguished Paper Award at USENIX Security Symposium 2022

From sock puppets to immersive and virtual technologies to reshape the media value chain

HackKing’s 2022

Informatics London

MediaFutures

Plan and Goal Reasoning for Explainable Autonomous Robots

COHERENT: COllaborative HiErarchical Robotic ExplaNaTions

Overview of UKRI Trustworthy Autonomous Systems TAS Hub

RAMP VIS

Narrating Complexity

From role-play to situated feedback

Provenance-driven and Legally-grounded Explanations for Automated Decisions (PLEAD)

Secure AI assistantS (SAIS)

The Trust in Human-Machine Partnership (THuMP)