Jazon Szabo of the 2019 cohort of the UKRI Centre for Doctoral Training in Safe and Trusted Artificial Intelligence contributed his paper, ‘Integrating quantitative and qualitative reasoning for value alignment’ to the 19th European Conference on Multi-Agent Systems...
Lennart Wachowiak and Peter Tisnikar of the 2021 cohort of the UKRI Centre for Doctoral Training in Safe and Trusted Artificial Intelligence presented their work on the paper ‘Analysing Eye Gaze Patterns during Confusion and Errors in Human–Agent Collaborations’ at...
Nandi Schoots (2019 cohort), C Henrik R Åslund (2019 cohort), Dylan Cope (2019 cohort), Matt MacDermott (2021 cohort) and Francis Rhys Ward (2020 cohort) of the UKRI Centre for Doctoral Training in Safe and Trusted AI, were the organisers of the Safe and Trustworthy...
The UKRI Centre for Doctoral Training (CDT) in Safe and Trusted AI welcomes its fourth cohort. This week, the CDT welcomed a new cohort of 14 students from across King’s and Imperial, all who share a passion for ensuring the safety and trustworthiness of AI....
Mackenzie Jorgensen, from the 2020 cohort of the UKRI Centre for Doctoral Training in Safe and Trusted Artificial Intelligence, researches the social and ethical implications of AI. In Summer 2021, Vector, the critical journal of the British Science Fiction...
The Safe and Trusted AI Summer School 2021 took place online between 12 and 14 July. Guest speakers included world-leading academics and industry professionals. Summer Schools are core for STAI CDT PhD students and in 2021 we also welcomed the participation of some...
Dr Elizabeth Black, Co-Director of the UKRI Centre for Doctoral Training in Safe and Trusted Artificial Intelligence, has been appointed to the Advisory Group of the new Energy Digitalisation Taskforce (EDiT). The taskforce will continue...
Anna Gausen, of the 2020 cohort of the UKRI Centre for Doctoral Training in Safe and Trusted Artificial Intelligence, presented her research on agent-based modelling and fake news at the Mediate workshop in...
Professor Michael Luck, Director of the UKRI Centre for Doctoral Training in Safe and Trusted AI, is one of the expert judges at CogX 2021, a Festival of AI and Transformation Technology, taking place between 14 and 16 June 2021 in London. The judges, described by...
Plans are underway for the Safe and Trusted AI Summer School 2021, to be held online over three days, 12 to 14 July inclusive. Find out more on our Summer School webpage.
King's MediaFutures project is working to find new ways to deal with data misinformation. Find out more at Spotlight on Research.
What do young people want from the world of the future? How do their hopes and fears intersect with safe and trusted artificial intelligence? To find out, Mackenzie Jorgensen, from the 2020 cohort of the UKRI Centre for Doctoral Training in Safe and Trusted Artificial...
Nandi Schoots, of the 2019 cohort of the UKRI Centre for Doctoral Training in Safe and Trusted Artificial Intelligence, presented a paper on the safety properties of inductive logic programming in February 2021. Symbolic approaches to AI are often considered safer...
Researchers in King’s Software Systems Group and Trusted Autonomous Systems hub are furthering contribution towards the UKRI Trustworthy Autonomous Systems hub by honing a focus on causal reasoning. Read more at Spotlight on Research.
Jazon Szabo, of the 2019 cohort of the UKRI Centre for Doctoral Training in Safe and Trusted AI, presented his paper on value alignment and norms at the 17th European Conference on Multi-Agent Systems (EUMAS 2020) in September 2020. An increasingly important...
The UKRI Centre for Doctoral Training (CDT) in Safe and Trusted Artificial Intelligence has welcomed its second cohort to King’s and Imperial. The students have an exciting year of training and events coming up. In October 2020 at its induction event, the CDT welcomed...
Cybersecurity experts from King’s College London are leading work for a new national centre to keep people safe online through research and technology. Read more at Spotlight on Research.
Professor Francesca Toni, Co-Director of the Centre for Doctoral Training in Safe and Trusted AI, has been appointed by the Royal Academy of Engineering to one of four new Research Chairs, who will spend the next five years working closely with industry on a broad...
Led by King’s, a collaboration between King’s Cybersecurity Centre, Imperial College London and non-academic partners has received £1.5 million from the Engineering and Physical Sciences Research Council (EPSRC) to carry out pioneering research to further...
The UKRI Centre for Doctoral Training (CDT) in Safe and Trusted AI (STAI) hosted its first annual retreat in July 2020. The retreat featured student presentations, an online social activity, and a consultation for staff and students to discuss how the first year of...
Hana Kopecka, of the 2019 cohort of the UKRI Centre for Doctoral Training in Safe and Trusted AI, has had her paper accepted for publication and presentation at the Workshop on Dialogue, Explanation and Argumentation for Human-Agent Interaction (DEXA...
Professor Michael Luck, Director of the Centre for Doctoral Training in Safe and Trusted AI, is elected as a 2020 EurAI Fellow by the European Association for Artificial Intelligence (EurAI). Read more at King's Spotlight on Research.
Students in the first cohort of the UKRI Centre for Doctoral Training (CDT) in Safe and Trusted AI (STAI) have been working with our partner, Royal Mail, to investigate how AI techniques and telemetry data could be used to improve the trustworthiness of automatic...
Congratulations to Patrick Henriksen of the 2019 cohort of the UKRI Centre for Doctoral Training in Safe and Trusted AI, whose paper has been accepted for publication and presentation at the 24th European Conference on Artificial...
With the move to working from home resulting from COVID-19, and much uncertainty in the higher education sector, the UKRI Centre for Doctoral Training in Safe and Trusted Artificial Intelligence has moved online. The Centre continues to offer student training...