Sihem Amer-Yahia / A Database Researcher Perspective on Ethical AI for Education
Abstract
The last few years has seen a proliferation of digital work and education platforms from crowdsourcing and freelancing marketplaces to MOOC-type platforms. Educational technologies coupled with AI hold the promise of helping learners better upskill but like in any other societally critical AI-powered system, the question of ethics arises. I will describe my perspective on rethinking the design of AIED by combining the power of data management and machine learning to better implement education theories and provide safe data-informed personalized upskilling.
About the Speaker
Sihem Amer-Yahia is a Silver Medal CNRS Research Director and Deputy Director of the Lab of Informatics of Grenoble. She works on exploratory data analysis and algorithmic upskilling. Sihem worked as Principal Scientist at QCRI, Senior Scientist at Yahoo! Research and Member of Technical Staff at AT&T Labs. Sihem served as PC chair for SIGMOD 2023 and as the coordinator of the Diversity, Equity and Inclusion initiative for the database community. In 2024, Sihem received the 2024 IEEE TCDE Impact Award, the SIGMOD Contributions Award, and the VLDB Women in Database Award.