Ethics & Emotion in AI

Ethics & Emotion in AI

How can AI tools read and respond to human emotion?  What benefits does this open up?  And how do we manage the risks and ethical considerations?

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Moderator: Dr Alessandra Sala

A research and scientific leader in Artificial Intelligence, Alessandra is the Director of AI and Data Science at Shutterstock. Alessandra has over 10 years’ experience in research and innovation gained whilst working in academic and commercial environments. Alessandra is passionate in advanced analytics, machine learning, and computational models with the focus of transferring innovation from research to products.

Alessandra is the Ambassador of Women in AI Ireland, Technology Advisory Board Member at CeADAR and Governance Committee Chair at the Science Foundation Ireland Centre for Research Training in Machine Learning.  In her previous appointment Alessandra was Head of Analytics Research at Nokia Bell Labs. 

Panelists

Dr Radu Dimitriu

Dr Radu Dimitriu is Associate Professor in Marketing and Full Time MBA Director at Trinity Business School. Radu does research on consumer behaviour and psychology, branding, social media marketing, CSR and prosocial behaviour, or on the consumer adoption and usage of AI-enabled technologies, such as autonomous cars and chatbots. He is specifically interested in the topics of ethics, morality and emotion in consumers’ interactions with AI, as well as in the value consumers receive by adopting AI technologies.

Dr Kieran Fraser

Kieran recently completed his doctorate at the SFI funded ADAPT Centre for Digital Content Technology in the School of Computer Science, Trinity College Dublin under the supervision of Prof. Owen Conlan. His research, entitled "ETHOS-Push: EmpaTHetic Orchestration of Scrutable Push", studied the impact of push-notifications on subscribers of technology and explored methods of applied AI, such as Natural Language Processing, Personalisation and Generative Modeling, to facilitate greater empathy embedded in pushed notifications. Kieran is now leading "EmPushy", an Enterprise Ireland funded startup based in the ADAPT Centre, which seeks to help brands fuse empathy with their communication channels to support healthier, longer lasting and contextually engaging digital experiences.

Dr Yvette Graham

Yvette Graham is an award-winning researcher of Natural Language Processing (NLP) and Assistant Professor in AI at Trinity College Dublin. Her work includes development of systems for a wide range of AI/NLP tasks, including Machine Translation, Dialogue Systems, Sentiment Analysis, Video Captioning, and Lifelog Information Retrieval. Besides NLP tasks, Dr. Graham is also widely known for her work on NLP evaluation that has revealed misconceptions and bias in system evaluations and has been adopted by high profile competitions including the Conference on Machine Translation and TRECvid. She has published more than 70 papers in venues such as EMNLP, ACL and JNLE (Google Scholar Profile), and was previously awarded best paper at the Annual Conference for the Association of Computational Linguistics.

Dr João Cabral

João Cabral is a research fellow at Trinity College Dublin, in the School of Computer Science and Statistics, as part of the ADAPT Centre. He was awarded a Ph.D. degree in Computer Science and Informatics from the University of Edinburgh, U.K., in 2010. His research interets include expressive Text-To-Speech synthesis (TTS), analysis of emotions in speech, speech signal processing and machine learning. Currently, he is the leader/PI of the VoiceTune project, which develops AI expressive synthetic voices that sound like real people. This project is funded by Enterprise Ireland, through a Commercialisation Fund grant.