AISEC Youtube contains recordings of research and educational seminars, for various audiences. AISEC webpage records other activities, including open source software. AISEC Youtube: https://www.youtube.com/channel/UCuYLyAKf2mEq4ZSvMfwbfIg/featured AISEC Webpage: https://www.macs.hw.ac.uk/aisec/index.php

Interview with CNBC on AI trends/ research predictions for 2022

Presentation of Autonomous Car at Science Festival in Edinburgh

The event was part of the Marie Skłodowska-Curie Action program “Rights in Internet of Everything”, a EU project that sponsors a 3 year PhD program involving 15 European Universities It was attended by past and current students on the program, and also other PhD and Master students from participating institutions. I received several expressions of interest to come to the UK for a PhD in this field

Interview about pruning large language models based on my expertise from participating in the BigScience BLOOM modelling collaboration: “Huge AI models can be halved in size without degrading performance A way to cut the scale of artificial intelligence models by 60 per cent could save huge amounts of energy and make them more accessible”

Participated in a panel discussion on computational law as part of ReMeP - research meets practice. The aim was to introduce governments and legislators to the potential of computational law, and industry on the business opportunities to support this new form of lawmaking. The panel was attended by 140 participants A follow up request from the Austrian government to explore the possibility of a computational version of the GDPR

ReMeP is an annual event to bring research in law and technology to practice. It is attended mainly by representatives from industry, legal practice and government Chaired panel and gave keynote talk on Legal Ontologies. 470 participants, lead to extended questions and discussions, and 2 follow up invitations Recordings of the talks are made available as training tools

E.Komendantskaya, L.Arnaboldi, M.Daggitt “Perfecting self-driving cars – can it be done?”. The Conversation, 6 April 2021. A paper explaining challenges in verification of autonomous cars

E.Komendantskaya, L.Arnaboldi, M.Daggitt “Perfecting self-driving cars – can it be done?”. The Conversation, 6 April 2021. A paper explaining challenges in verification of autonomous cars

as Chairman Legal Services Industry Committee of AI4People, I was the lead author of our Guidelines of the Ethical use of AI by the Legal Profession which was presented to the European Commission at a workshop in Brussels, organised by Atomium.

I am on the scientific review board for DATAIA the French Institute for Data Science and Artificial Intelligence (partnered with the Turing Institute). Bi-annual review meetings in Paris-Saclay

Contributed to the expert report of the Independent Advisory Group on Emerging Technologies in Policing, recommending methods to assess the impact of AI in policing, ensure legal compliance of drones, and ensure the divergence from the EU AI Act does not hamper cross border police investigations.

Advisor to a project hosted at Dubai University together with Dubai Road Transportation Authority (RTA) and Dubai Police to develop road traffic laws for Autonomous vehicles

Submitted a response to the Uk Gvov consultation: Self-driving vehicles: new safety ambitions. The focus of the response was on the interdependence between cybersecurity, data protection and vehicle safety, where different legal regimes put contradictory pressures on manufacturers. The submission identified resulting gaps in the proposals by the Law Commissions (which it otherwise endorsed) and made some suggestions regarding data as a secondary income stream for AV manufacturers, use of “code as law” as a regulatory tool, and for road traffic policing in an age of AVs