PeopleofSuperintelligence

Researcher

Luca Longo

Luca Longo is an artificial-intelligence researcher whose work connects explainable AI, computational argumentation, and models of human mental workload. He studied computer science in Italy and Ireland, completed a computer-science PhD at Trinity College Dublin in 2013, and founded an AI and Cognitive Load Lab at TU Dublin. His 2020 review grouped explainable-AI methods into four clusters, and his 2023 manifesto set out 27 open problems; in 2025, he coauthored a paper on rule-based explanations. As of October 2026, he is a Senior Lecturer at University College Cork and serves on the Royal Irish Academy's Engineering and Computer Sciences Committee.

Now at
University College Cork and Royal Irish Academy
Works
180
Citations
4,361
h-index
29
Badges

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 2002–2013

    Degrees at Insubria and Trinity

    He studies computer science at the University of Insubria from 2002 to 2005, earning a BSc, and completes an MSc there in 2007. At Trinity College Dublin, he earns a postgraduate diploma in statistics in 2009, an MSc in health informatics in 2012, and a PhD in computer science in 2013.

  2. 2015–2018

    Mental workload and an AI lab

    In 2015, he publishes “A defeasible reasoning framework for human mental workload representation and assessment.” At TU Dublin, he founds the Artificial Intelligence and Cognitive Load Lab, where artificial intelligence and human-computer interaction meet in research on mental workload. He completes a postgraduate diploma in learning and teaching at Dublin Institute of Technology in 2015 and an MSc in applied e-learning there in 2018.

  3. 2016

    A national teaching award

    He wins the National Teaching Hero Award in 2016.

  4. 2020

    A systematic review of XAI

    With Giulia Vilone, he publishes a systematic review of explainable AI in 2020, grouping methods into four clusters: review articles, theories and notions, methods, and evaluation. TU Dublin recognizes his research with a university award in 2020.

  5. 2021

    Another Teaching Hero Award

    He receives Ireland's Teaching Hero Award in 2021 for a second time.

  6. 2023

    An XAI 2.0 manifesto

    In 2023, he coauthors “Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions,” which presents 27 open problems in nine categories. He receives the AI Person of the Year award in 2023.

  7. 2025

    Computational argumentation for XAI

    In 2025, he coauthors an IEEE Access paper with Serena Berretta, Damiano Verda, and Lucas Rizzo. It combines Logic Learning Machine rule extraction with computational argumentation to improve explanations for multi-class classification tasks.

  8. As of October 2026

    Senior Lecturer at UCC

    As of October 2026, he is a Senior Lecturer in UCC's School of Computer Science and Information Technology. In August 2026, he joins the Royal Irish Academy's Engineering and Computer Sciences Committee. He is the founder of the World Conference on Explainable Artificial Intelligence.

Career

  1. Since 2026Royal Irish AcademyMember
  2. Since 2025University College CorkSenior Lecturer
  3. 2019–2021Trinity College Dublin
  4. 2017–2026Technological University DublinFounder
  5. 2016–2019ADAPT - Centre for Digital Content Technology

Education

  1. 2018Dublin Institute of TechnologyMSc in applied e-learning
  2. 2015Dublin Institute of TechnologyPostgraduate diploma in learning and teaching
  3. 2013Trinity College DublinPhD in computer science
  4. 2012Trinity College DublinMSc in health informatics
  5. 2009Trinity College DublinPostgraduate diploma in statistics
  6. 2007University of InsubriaMSc
  7. 2005University of InsubriaBSc

From the biography and OpenAlex affiliations (the years of papers that list the organization), so some years are approximate.

Most-cited works

  1. Notions of explainability and evaluation approaches for explainable artificial intelligence2021 · Information Fusion · 590 citations
  2. Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions2024 · Information Fusion · 563 citationsWith Andreas Holzinger, Francisco Herrera and Wojciech Samek
  3. Explainable Artificial Intelligence: a Systematic Review2020 · 259 citations
  4. Human Mental Workload: A Survey and a Novel Inclusive Definition2022 · Frontiers in Psychology · 218 citations
  5. Explainable Artificial Intelligence: Concepts, Applications, Research Challenges and Visions2020 · Lecture notes in computer science · 177 citationsWith Andreas Holzinger

From OpenAlex, as of 21 October 2026.

  1. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes University College Cork. We estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.
  2. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes University College Cork. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.
  3. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes University College Cork. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.
  4. Google had the most people shaping AI every year from 2014 to 2025Our estimates of which organizations employed the most people shaping AI each year from 1955 to 2025, tracing the shift from university labs to companies.

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

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  1. Dr. Luca Longo – ASCNet ascnet.ie. Checked 20 October 2026.
  2. Luca Longo | Centre of eXplainable Artificial Intelligence | Academic Staff | TU Dublin tudublin.ie. Checked 20 October 2026.
  3. Explainable Artificial Intelligence: a Systematic Review arxiv.org. Checked 20 October 2026.
  4. Dr Luca Longo appointed to Royal Irish Academy Engineering and Computer Sciences Committee | University College Cork ucc.ie. Checked 20 October 2026.
  5. Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions arxiv.org. Checked 20 October 2026.
  6. Computational Argumentation and Automatic Rule-Generation for Explainable Data-Driven Modeling - TU Dublin Research researchprofiles.tudublin.ie. Checked 20 October 2026.
  7. Luca Longo - Discover Research at University College Cork research.ucc.ie. Checked 20 October 2026.