Introducing Trustworthy AI

Thursday 10 June 2021 | 15.00-17.00 Irish Summer Time [GMT+1]

Artificial intelligence (AI) is developing rapidly, but there is a delay in its introduction into the higher education curriculum. While more and more AI instruction is being offered in STEM subjects, a large number of students leave their careers without understanding the scope, opportunities, or risks of AI. While there is great potential AI to streamline our economies and to contribute to the Sustainable Development Goals and the European Green Pact, AI brings with it complex challenges in areas such as security, privacy, and social discrimination, among others. In this webinar we will showcase our work in Trustworthy AI. Our goal is to expand the teaching of AI in higher education beyond the technology aspect, and to engage with AI ethics and values questions. We will explore the Learning Framework for ethical AI for stakeholders, our Open Educational Resources and our Hackathon Guide that offer practical tools for teachers to implement new content and develop ethical AI skills in students in a practical way.

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Dr. Marçal Mora-Cantallops

Dr. Marçal Mora-Cantallops is an Industrial and Computer Engineer, Ph.D. in Communication, Information, and Technology in the Web Society by the University of Alcalá, Spain. Since 2018, he is an assistant professor of the Computer Science Department of the University of Alcala, in Spain, and also member of the I4 (Intelligence, innovation, internet and information) Research Group. He is currently coordinating the Erasmus+ Trustworthy AI project in representation of the University of Alcalá. He is also interested in the fields of social network analysis, data science, and game studies, having authored multiple related articles in the past few years.

Dr. Andrea Aler Tubella

Dr. Andrea Aler Tubella (PhD, Computer Science) is a postdoctoral Researcher at the Responsible AI group at UMU with focus on the formal verification of ethical principles of AI systems. Her research expertise includes formal logic, proof theory, as well as the use of logical modeling to describe reasoning and behaviour and its applications in AI. She holds degrees in both mathematics (University of Barcelona, University of Cambridge) and computer science (University of Bath). She has held research positions in the UK, France and Sweden.

Prof. Mohammad Reza BeikZadeh

Dr. Beik is an inspiring team leader in international education and R&D Organizations in the field of Artificial Intelligence (AI) and its applications. He has been designing and developing various intelligent eLearning systems during the last 30 years. He is also a dedicated senior curriculum designer, content developer MOOC user, lecturer and trainer in fuzzy and temporal logics, Semantic Technology, Data Analytics and Data Visualization.  His 30 years of experience, knowledge and skills encouraged him to focus on working on various aspects of Education 4.0, to identify how AI can help to lead and make it happen in general, by designing, applying and using algorithms, systems and platforms, since 2019.

Douglas Cirqueira, MSc

Douglas is a researcher in Data Science at Raiffeisenlandesbank Upper Austria, and a Ph.D. student in Data Analytics at Dublin City University. He is currently a Marie Curie Research Fellow in the PERFORM European Training Network, a Horizon 2020 funded project. Douglas has a bachelor’s in Computer Engineering and a master’s in Artificial Intelligence, and he was involved in AI and Data Science projects in universities and companies in Brazil, the USA, and Germany. His recent publications deal with customer behavior analytics in Digital Retail, Explainable Artificial Intelligence, and Fraud Detection. He is currently investigating the integration of user-centric Explainable AI for decision support in fraud detection workflows within digital retail and banking industries.

Dr. Zohreh Pourzolfaghar

Zohreh Pourzolfaghar is Assistant Professor for the School of Business in Maynooth University. She is a members of Lero, the Science Foundation Ireland Research Centre for Software. Zohreh formerly has been Research Fellow at Innovation Value Institute (IVI), Maynooth University’s digital transformation research centre. She is a senior research member of the Business Informatics Group. She is the theme lead in a project investigating the application of Enterprise Architecture in Smart Cities, funded by Science Foundation Ireland (SFI). She has been Principle Investigator for an Industry Fellowship Programme, funded by SFI. Zohreh presented her work at international conferences and has published research in Journals and Conference Proceedings. Zohreh is also leading research within the Cost Action CA16222 (WISE-ACT), a European-wide network.  She has been thematic lead in a successful European Marie Curie PERFORM project. She is a member of the supervisory board of the EU project PERFORM, that focuses on Digital Retail. She has been awarded the SFI industry fellowship (2018) working with industry on topics related to Smart Cities and Building Information Management. She is the Co-PI for submitted H202 Techland proposal. Zohreh received her Ph.D. in Project Management in design process of building projects. Zohreh has years of experience working with project-oriented construction companies to improve organisatioanal productivity and their work processes.