31st Irish Conference on Artificial Intelligence and Cognitive Science
The 31st Irish Conference on Artificial Intelligence and Cognitive Science (AICS 2023) will be hosted by Atlantic Technological University (ATU) in collaboration with Ulster University. The conference will be held in-person at the Letterkenny campus of ATU Donegal. We are also honoured that IEEE UK and Ireland Computational Intelligence Chapter will provide technical sponsorship of the conference.
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 2023 program will include presentations of high-quality theoretical and applied scientific papers and tutorials. Invited talks will describe important topics relevant to the field.
Date and Time
Location
Hosts
Registration
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- Atlantic Technological University
- Letterkenny, Donegal
- Ireland
- Contact Event Host
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Dr Kevin Meehan (Atlantic Technological University), kevin.meehan@atu.ie
Dr Karla Muñoz Esquivel (Atlantic Technological University), karla.munozesquivel@atu.ie
Prof. Hujun Yin (The University of Manchester), hujun.yin@manchester.ac.uk
- Starts 01 September 2023 09:07 PM UTC
- Ends 08 December 2023 01:07 PM UTC
- No Admission Charge
Speakers
Salvatore Tedesco
AI-based Smart Wearable Systems for Health and Wellness in Sports, Ageing, and Rehabilitation
Biography:
Salvatore Tedesco is a Senior Researcher and Team Leader with the Wireless Sensor Networks Group, Tyndall National Institute, UCC, where he is responsible for leading a research team in the wearable and data analytics area. He has authored > 70 articles in international journals and conference proceedings and has received > 1.1 million in grant funding as PI/Co-PI. Since joining Tyndall he has managed and successfully led > 25 industrial and research-oriented projects focused on his main research interests on wearable technologies for healthcare and well-being, human motion analysis in sports and clinical populations, digital health, physiological monitoring, signal processing, edge analytics, and machine learning.
Toju Duke
The Responsible AI Framework: Developing Impactful AI Systems
Biography:
With over 18 years experience spanning across Advertising, Retail, Not-For Profit and Tech, Toju is a popular speaker, author, thought leader and advisor on Responsible AI. Toju worked at Google for 10 years where she spent the last three years as a Programme Manager on Responsible AI leading various Responsible AI programmes across Google’s product and research teams with a primary focus on large-scale models and Responsible AI processes. She is also the founder of Diverse AI, a community interest organisation with a mission to support and champion underrepresented groups to build a diverse and inclusive AI future. She provides consultation and advice on Responsible AI practices worldwide.
Roisin Loughran
Regularity and Ethical Concerns for AI in Critical and Non-Critical Domains
Biography:
Dr Róisín Loughran is the Manager of the Regulated Software Research Centre at Dundalk Institute of Technology. Dr Loughran obtained a Bachelors degree in Electronic Engineering in UCD before undertaking a MPhil in Music and Media Technology at Trinity College Dublin. She completed her PhD entitled `Musical Instrument Identification with Feature Selection Using Evolutionary Methods’ at the University of Limerick and worked for a number of years as a post-doctoral researcher within the Natural Computing Research and Applications Group in UCD. Dr Loughran has extensive knowledge and publications in the area of AI and Evolutionary Computing (EC), in particular in the application of EC methods to interdisciplinary projects such as those in digital signal processing, music generation and computational creativity. Dr Loughran is currently researching into the application of EC and other AI methods to investigate and mitigate unwanted detrimental biases in algorithmic systems. Dr Loughran is an active contributor to the working group for the IEEE P7003 upcoming Standard on ‘Algorithmic Bias Considerations’.