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Luca Longo

Unstoppable right & left brain thinker

Luca L. is a dedicated early stage scientist with a strong passion for technology and research, particularly in Artificial Intelligence and Human-Computer Interaction.

He focuses on formalizing human Mental Workload through deductive knowledge representation and reasoning techniques, including Defeasible reasoning and Argumentation Theory, as well as inductive modeling techniques like Machine Learning.

His diverse academic background includes a Doctor of Philosophy in Philosophy, a Master of Science in Education, and various degrees in Computer Science and Informatics.

With over 20 years of experience, Luca has worked as a software developer, software architect, and technology leader in international software houses and start-ups.

He is actively engaged in disseminating scientific material through TEDx talks and has received awards for both his research work and teaching efforts, including a "national teaching hero award" in 2016.

Luca's vision and research team aim to apply their computational concepts to fields like Human-Computer Interaction, Education, Neuroscience, and Universal Design.

He has contributed to various academic institutions and research organizations, including serving as Principal Investigator at Ceadar Ireland and engaging with institutes like Trinity College Dublin and Technological University Dublin.

Highlights

Jul 24 · linkedin

I'm back from the 2nd World Conference on eXplainable Artificial Intelligence. Here are some reflections on an #amazing #event for #artificialintelligence ① The community has expanded from the 1st edition, a sign #XAI is fermenting ② There is no #responsibleAI / #trustworthyAI without #xAI. The former are intangible, barely measurable properties of AI systems, the latter is tangible! ③ The two panels with renowned scholars, innovation managers, lawyers (Andrea Claudio Cosentini Nicasio Muscia Trevor Sammut Ian Gauci Paul Micallef Grimaud Keith Cortis) suggested that our community of scholars performing empirical research must inform regulators (not necessarily the other way). We are the closest people to tangible (technical) #AI! ④ Inter/trans/multi-disciplinarity is essential for intelligent technology development ⑤ Having abstract terms in law complicates progress unless the basic tenets grounded on #humanrights are not informed by a #capitalist mentality but by real #socialwelfare, prolonged #innovation for the benefit of #society ⑥ #ExplainableAI must be even more concrete, an emerging hot (like Maltese weather) discipline grounded on #empirical methods, techniques & #hardcode ⑦ Regulators/policymakers must try to understand technical concepts to ground laws on reality & not on a superficial understanding ⑧ Scholars/nerds must understand the implications of their creations for the wider society, & not just develop technologies that can be misused 🌏In summary, XAI-2024 was a great success thanks to those who helped shape the scientific programme (Christin Seifert, Sebastian Lapuschkin, @gregoire montavon, Weiru Liu), organising the logistics (Charlie Abela & his volunteers from L-Università ta' Malta (University of Malta)), helping with accessibility/inclusivity (@verena klos, Mario Brcic), handling the thematic tracks (Paolo Giudici), the hundred revisors (https://lnkd.in/dekQNxjT), the industry #sponsors who wanted to touch with hands the technicalities (Accenture Italia, Apollo Research, Exprivia, MANOLO Project, CeADAR Ireland, Malta Digital Innovation Authority, Rulex), the publisher (Springer), the official partners (Women in AI), the European Association for Artificial Intelligence EurAI sponsoring the keynote Fosca Giannotti. A real combined effort by people from 40+ countries & many research groups (https://lnkd.in/dfyZA6XE) & the many talented session chairs (Bartosz Zieliński, Ruairi O'Reilly, Kirill Bykov, Maximilian Dreyer, Yazan Mualla, Enrico Ferrari, Damiano Verda, Chiara Natali, Enea Parimbelli, Giulia Vilone, Alan Perotti, PhD, Riccardo Guidotti, Lorenz Linhardt, Clemens Dubslaff, Francesco Sovrano, Alberto Termine, Pascal Friederich, Gian Antonio Susto, Alexander Binder, Julia Herbinger). A special thanks to all the attendees who made a #MEMORABLE event!!!

Jun 11 · linkedin

Last week, I had the privilege to present my work on #explainable AI at the United Nations 🌐 AI for Good Global Summit 🌏 with many brilliant minds Fosca Giannotti Gitta Kutyniok Thomas FEL Anna Hedström Mennatallah El-Assady

➊ Sam Altman (OpenAI) participated online, and despite his kind personality, he did not respond to the actual questions ➋ The #sustainabledevelopmentgoals that were the primary motivations for such an event were barely touched. I guess this is because... ➌ the layperson is very confused about what Artificial Intelligence is, thus ... ➍ it is reasonable to see the difficulties in mapping the #sustainabledevelopmentgoals to it. For sure, this is an open challenge Reinhard Scholl ➎ I was surprised to see many applications of #braincomputer #interfaces. While I love the topic, probably AI was not the focus, contributing to 3 ➏ Many discussions on the #ethics of #AI, #trustworthyAI and #responsibleAI. While these topics are essential for developing AI for good, they are intangible, barely measurable properties; Dr. Alessandra Sala Virginia Dignum, hence... ➐ #eXplainable #ArtificialIntelligence can help solve the above challenges by providing tangible methods that can be exploited scientifically and opening #blackboxes ◼️ Want to know more: join the World Conference on eXplainable Artificial Intelligence (XAI-2024 🌐👉 https://lnkd.in/dHSiEPHa) ➑ as Wojciech Samek and Przemyslaw Biecek said, ▷ there is no AI for GOOD without XAI ◁

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Luca Longo
Luca Longo, photo 1
Luca Longo, photo 2
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Location

Ireland