Talk title : “Ties-of-Trust in AI : Unravel the Links Between Human Judgment and AI Harms”
Abstract :
AI, a human generated technology, has emerged not only as a human companion and facilitator but as a (semi) autonomous decision maker. Unfortunately, critical AI-driven decision-making, in multiple domains such as in hiring, loans checks, criminal justice and healthcare, are heavily critiqued for unjust outcomes which harm individuals and groups. This keynote talk will bring forward the need for end-to-end exploration of AI harms, from their actual origins and up to the AI harmful instances. By bridging cognitive science, AI computational pipelines, and AI ethical principles, this talk will offer insightful evidence on how to recognize the role of heuristics-driven actions which lead to harmful AI outcomes. Specific real-world scenarios will be revisited under a systematic approach framed in risk assessment models such as the Bowtie structure, to connect human-side cognitive heuristics and AI harms pathways, and to offer credible guidelines for ethical interventions and choices.
Prof. Vakali Biography:
Athena Vakali [female] is a professor at the School of Informatics, Aristotle University, Greece, where she leads the Laboratory on Data and Web science (Datalab https://datalab.csd.auth.gr/). She holds a PhD degree in Informatics (Aristotle University), a MSc degree in Computer Science (Purdue University, USA), and BSc degree in Mathematics. Her current research interests include emerging methods and technologies in cutting edge areas of Data Science (DS), Artificial Intelligence (AI), Trustworthy and Responsible Data Innovation. Her expertise emphasis is on data exploration and analytics, AI metrics, methods and techniques; Next Generation Internet (NGI) applications and enablers; online social phenomena and disinformation detection; Data Science and AI for social good and innovation ; Data management at the egde and at decentralized contexts. She has supervised several completed PhD theses and she has been awarded for her educational and research work which is extended with mentoring and students empowerment (ACM, ACMW). Prof. Vakali has published over than 220 papers in refereed journals and Conferences and she is Associated Editor in ACM Computing Surveys Journal, in the editorial board of the “Computers & Electrical Engineering” Journal, and ICST Transactions on Social Informatics (her publications received over 12140 citations with h-index=45 according to gscholar). She has coordinated and participated in more than 25 research projects in EU FP7, H2020, international and national projects. She has acted as keynote lecturer/speaker at several prestigious Conferences and events such as : RESET MCSA’24 summer school “Gender equality and diversity in academia”; ACM womENcourage 2023 Women in Computing conf.; FIBEP world’s media intelligence tech-days’21; MCSA training on Journalism, & Data Exploration (2020); IEEE/CAS “Building blocks for the Internet of Things” (2017), etc. She has co-chaired major Conferences Program Committees such as : ACM Gender Equality Summit (Greek Chapter) 2022, PC co-chair at the ACM/IEEE Web Intelligence Conference 2019, the EU Network of Excellence 2nd Internet Science Conference (EINS 2015), 15th Web Information Systems Engineering (WISE 2014), 5th International Conference on Model & Data Engineering (MEDI 2015), etc. She has also served as Workshops co-chair and has been a member to numerous International conferences and Workshops. She is also recognized as an ACM Senior Member and ACM Distinguished speaker. More info : https://datalab.csd.auth.gr/avakali/