To See or Not to See - Is AI at Its Best When People Know It's There?
Offered By: Data Science Festival via YouTube
Course Description
Overview
Explore a thought-provoking panel discussion from the Data Science Festival examining the transparency of AI in user-facing services. Delve into the crucial question of whether AI systems should be openly disclosed or kept hidden from users. Compare approaches across platforms like Reddit's open-source algorithms, opaque online shopping relevance sorting, and Google's semi-transparent search engine. Join speakers Kieron Maddison, Sarah Ying Zheng, Tessa Darbyshire, and Walter Pasquarelli as they debate the pros and cons of AI visibility and its impact on user experience and trust. Gain insights into the ethical considerations and strategic decisions behind AI transparency in various digital services.
Syllabus
To see or not to see – is AI at its best when people know it’s there (and when it’s not)?
Taught by
Data Science Festival
Related Courses
User Experience for the WebOpen2Study Intro to the Design of Everyday Things
Udacity UX-Design for Business
Fraunhofer IESE via Independent UX Design for Mobile Developers
Google via Udacity SAP's UX Strategy in a Nutshell by Sam Yen
SAP Learning