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• Trusted AI with WikiEthics and Agent Reasoning

  Project ID: STAI-CDT-2021-KCL-14
  Themes: AI Provenance, Norms
  Supervisor: Albert Meroño Peñuela

  Deep learning has recently brought various AI breakthroughs in areas like computer vision, speech recognition, and language models. Thanks to these, digital photography is now at our fingertips, we can ask anything to home...

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• Explainable Safety, Security and Trust in Human-AI Systems

  Project ID: STAI-CDT-2021-KCL-13
  Themes: AI Planning, AI Provenance, Logic, Norms, Verification
  Supervisor: Luca Vigano

  Explanations can help all the stakeholders of AI systems and Cybersystems to make better choices. In particular, they can help human users to understand and trust the choices of autonomous systems or to interact in a safe...

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• A normative multi-agent framework to ensure resilience of autonomous vehicles’ AI algorithms against adversarial machine learning attacks.

  Project ID: STAI-CDT-2021-IC-1
  Themes: Norms
  Supervisor: Soteris Demetriou

  An increasing number of depth sensors and surrounding-aware cameras are being installed in the new generation of cars. For example, Tesla Motors uses a forward radar, a front-facing camera, and multiple ultrasonic sensors...

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• Learning Behavioural Norms for Autonomous System

  Project ID: STAI-CDT-2020-IC-12
  Themes: Norms
  Supervisor: Fariba Sadri

  Incorporation decision making, for example combining preferences and prospection Concrete applications can be autonomous vehicles, health care or smart contracts. Prospective reasoning allows hypothetical what-if scenarios...

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