32nd Irish Conference on Artificial Intelligence and Cognitive Science

December 9-10, 2024
University College Dublin

Registration Open
Camera Ready Submissions (all tracks) - 29th November 2024

Author Instructions and Dates

Registration

Conference Programme

University College Dublin logo
Dublin City University logo

About AICS 2024

The 32nd Irish Conference on Artificial Intelligence and Cognitive Science (AICS 2024) will be hosted by University College Dublin (UCD) in collaboration with Dublin City University (DCU). The conference will be held in-person at the UCD Belfield campus.

With regular conferences dating back to 1988, the AICS Conference is Ireland’s primary forum bringing together researchers in the fields of Artificial Intelligence and Cognitive Science. The fields of Artificial Intelligence and Cognitive Science, encompassing areas such as; Data Analytics, Natural Language Processing, Information Retrieval, and Machine Learning, are now at the forefront of Irish computing research and industry. The AICS 2024 program will include presentations of high-quality theoretical and applied scientific papers and tutorials. Invited talks will describe important topics relevant to the field.

Call for Papers

Artificial Intelligence

Cognitive Science

Submission Topics

We invite submissions in the broad areas of Artificial Intelligence and Cognitive Science to communicate the advances and achievements in these fields. Areas of interest include, but are not restricted to:

  • Machine learning
  • Automated reasoning
  • Natural language processing
  • Computer vision
  • Robotics
  • Planning and scheduling
  • Decision analytics
  • Moral judgment
  • Intelligent agents
  • Concept combination
  • Knowledge representation
  • Reasoning
  • Intelligent systems
  • Machine translation
  • Knowledge graphs
  • Causal inference
  • Recommender systems
  • Semantic web/linked data
  • Computer vision
  • Neural networks
  • Deep learning
  • Dialogue systems
  • Opinion mining
  • Information systems
  • User modelling
  • Visual analytics
  • Digital twins
  • Smart environments
  • Neuro-symbolic integration
  • Social cognition
  • Cognitive robotics
  • Cognitive modelling
  • Cognitive neuroscience
  • Embodied and grounded cognition
  • Creative cognition
  • Counterfactuals
  • Explainability
  • Cognitive psychology
  • Cyberpsychology
  • Neuroeconomics
  • Neuroethics
  • Neurolaw
  • AI and cognition
  • Cognition and simulation
  • Argumentation
  • Human perception
  • Language
  • Memory
  • Attention
  • Emotion
  • Fairness/Bias
  • Interpretability
  • Transparency
  • Ethics of AI
  • Deduction


We seek articles which report on in-use experiences (design, engineering, deployment, utility, and challenges) of AI-based, and cognitive-based.

Submission Types

We invite three types of submissions:

  • Full Paper Track: Full paper submissions should consist of original contributions (describing either fundamental research, interesting applications, in-use experiences, or reviews of the field) not published in other forums. Papers should be 6 to 12 pages in length (including references) in CEURART format (single column). Accepted submissions will appear in online proceedings and authors will be invited for oral or poster presentations.
  • Student Track: This track is designed to facilitate students who have recently completed a Bachelor’s or Master’s program. Student track submissions should consist of original contributions (describing either basic research or interesting applications) and the first author must be a student. Papers should be 6 to 12 pages in length (including references) in CEURART format (single column). Accepted submissions will appear in the online proceedings and authors will be invited for a poster presentation.
  • NECTAR Track: NECTAR track submissions should describe significant results previously published or disseminated no earlier than 2019 at a prestigious international conference or journal. Authors will be invited to present their work orally at AICS.
Important All Full Paper Track and Student Paper Track submissions should be prepared using the CEURART format (single column) for double-blind review using the CEURART format (single column) and therefore appropriately anonymised. All accepted submissions in Full Paper Track and Student Paper Track will appear in online proceedings online proceedings at www.ceur-ws.org .

Keynote Speakers

Eamonn Keogh picture

Eamonn Keogh

Distinguished Professor: University of California Riverside, Computer Science and Engineering Dept.

Prof. Eamonn Keogh is a distinguished professor and Ross Family Chair in the Department of Computer Science and Engineering. He specializes in time series data mining, finding patterns, regularities, and outliers in massive datasets. He developed some of the most commonly used definitions, algorithms and data representations used in this area. These contributions include SAX, PAA, Time Series Shapelets, Time Series Motifs, the LBkeogh lower bound, and the Matrix Profile. These ideas have been used by thousands of academic, industrial, and scientific researchers worldwide, including NASA’s Jet Propulsion Laboratory, which uses Keogh’s ideas to find anomalies in observations of the magnetosphere collected by the Cassini spacecraft in orbit around Saturn. He has won both best paper awards, and ten-year research impact awards at all three major data mining conferences (SIGKDD, ICDM, SDM), and awards from the Bill and Melinda Gates Foundation, a Bell Labs Prize, and research fellowships from Google, Mitsubishi, Visa, Toyota, Toshiba, Microsoft, Oracle and Vodafone.

Abstract: Time Series Anomaly Detection (TSAD) is the task of finding unusual/anomalous/novel subsequences within a longer time series. With many potential applications in industry and science, in the last few years there has been an explosion of interest in this topic, with dozens of papers appearing each year in the top venues, such as NeurIPS, SIGKDD, VLDB, SIGMOD, PAMI etc. In this talk I will make a surprising claim, at least 95% of these papers make no contribution, because their claimed improvements are demonstrated with deeply flawed experiments that should be discounted or ignored. I will demonstrate the fallacies of these experiments with original, visually intuitive, compelling and ultimately damming examples. Having convinced the audience of my thesis, I will then move on to two more speculative questions. How did some of the top researchers in our community fail to see these issues and write such embarrassingly naïve papers, and what can be done to improve the quality of research.
Susan Leavy picture

Susan Leavy

Assistant Professor: Department of Computer Science, University College Dublin

Dr. Susan Leavy is an assistant professor at the School of Information and Communication Studies at University College Dublin and a funded investigator with Insight Centre for Data Analytics. Her research areas concern artificial intelligence, ethics, natural language processing and cultural analytics. Her recent work has focused on mitigating bias and discrimination in natural language processing and developing ethical frameworks for AI, founded in human rights and theories of social justice.
Susan earned a PhD in Computer Science at Trinity College Dublin, where she focused on uncovering gender bias in news coverage with machine learning. She also holds an MPhil in Gender and Women’s Studies (TCD), an MSc in Artificial Intelligence (Edinburgh University) and a BA in English and Philosophy (UCD). She worked internationally, managing the design and development of large-scale trading platforms in the finance sector. Susan is passionate about increasing diversity in those who design and develop AI systems.

Abstract: AI is having a transformative impact in the world. It is being used in ways that can have a profound impact on society and could dramatically alter the information ecosystem. This talk will discuss the effects AI is having in society. The focus will be on how large language models could alter our information ecosystem and how people acquire knowledge. Societal effects, both seen and predicted, will be discussed along with new and emerging initiatives to mitigate risk.

Author Instructions

All accepted submissions will be presented at the conference, either orally or as posters, and included in the online conference proceedings at ceur-ws.org. At least one author of each submission will be required to register for, and attend, the conference. All submissions must be made via the EasyChair system online, available here.

Full Paper Track papers and Student Track papers must be submitted in CEURART format (single column proceedings), which is also the format required for the final camera-ready copy. A sample LaTeX document in this format is available here.

NECTAR Track submissions must follow the following template found here.

All accepted submissions in Full Paper Track and Student Paper Track will appear in online proceedings at ceur-ws.org.

Download Copyright Form

Download CEURART LaTeX Template

Download LaTeX Template for NECTAR Track

Submit Paper

Important Dates

  • Paper Submission Deadline for all Tracks - 8th October 2024, 23:59 Irish time

    Time Remaining:

  • Acceptance Notification for all Papers - 29th October 2024 15th November 2024
  • Camera Ready Submissions (all tracks) - 12th November 2024 29th November 2024
  • Conference Dates - 9th - 10th December 2024

Registration

To register for the AICS 2024 conference, please use the link below. Please create an account or login with your UCD id to register.

Register for AICS 2024

  • Student authors and attendees (Student Rate): €120.00
  • General authors and attendees (Full Rate): €230.00

Organisation

Chairs

Programme Committee Members

See Full Programme Committee

PC Member Name Affiliation
Yalemisew AbgazDublin City University
Kolawole AdebayoDublin City University
Kashif AhmadMunster Technological University
Mansoor AhmedMaynooth University
Helard BecerraUniversity College Dublin
Christian BederMunster Technological University
Raymond BondUniversity of Ulster
Bojan BožićTechnological University Dublin
Derek BridgeUniversity College Cork
Paul BuitelaarNUI Galway
Padraig CunninghamUniversity College Dublin
Kevin CurranUniversity of Ulster
Mathieu D'AquinUniversity of Lorraine
Steven DavyTechnological University Dublin
Soumyabrata DevUniversity College Dublin
Malachy EatonUniversity of Limerick
Malick EbieleUniversity College Dublin
Cathy EnnisTechnological University Dublin
Muftah FraiferUniversity of Limerick
Roghaiyeh Ramisa Gachpaz HamedTrinity College Dublin
Kuruvilla George Trinity College Dublin
Saim GhafoorAtlantic Technological University
Paul GreaneyAtlantic Technological University
Derek GreeneUniversity College Dublin
Eoin GruaUniversity of Limerick
Shagufta HennaAtlantic Technological University
Julio Noe Hernandez TorresTrinity College Dublin
Aoife HillAtlantic Technological University
Donny HurleyAtlantic Technological University
Georgiana IfrimUniversity College Dublin
Manjurul IslamUlster University
Gareth JonesDublin City University
Mark KeaneUniversity College Dublin
Karina LitvinovaAtlantic Technological University
Philip LongAtlantic Technological University
Mahsa MahdinejadUniversity of Limerick
Marion McAfeeAtlantic Technological University
Michael McCannAtlantic Technological University
John P. McCraeNUI Galway
Ian McLoughlinAtlantic Technological University
Aidan MeadeTechnological University Dublin
Paul MoranAtlantic Technological University
Aidan MurphyUniversity College Dublin
Irene MurtaghTechnological University Dublin
Matthias NicklesUniversity of Galway
Diarmuid O'DonoghueMaynooth University
Ruairi O'ReillyMunster Technological University
Colm O'RiordanNUI, Galway
Alison O'SheaMunster Technological University
Harshvardhan J. PanditDublin City University
Debbie RankinUlster University
Daniel RiordanMunster Technological University
Lucas RizzoTechnological University Dublin
Tony RobinsonUlster University
Bianca Schoen-PhelanDublin Institute of Technology
Manya SinghUniversity College Dublin
Niladri SettSRM University
Joshua TobinTrinity College Dublin
Xhemal ZenuniSouth East European University