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To See or Not to See - Is AI at Its Best When People Know It's There?

Offered By: Data Science Festival via YouTube

Tags

Artificial Intelligence Courses Data Science Courses Ethics Courses User Experience Courses Algorithm Design Courses Google Search Courses

Course Description

Overview

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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

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