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Building Safe and Fair Generative AI with Content Provenance

SAIConference via YouTube

Overview

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Explore a thought-provoking keynote presentation from Adobe Research principal scientist and University of Surrey professor John Collomosse, who examines the intersection of generative AI and content provenance. Learn about the evolution of AI models in creating diverse content from text-to-image to video generation, while understanding the critical challenges of data sources, consent, and training processes. Discover innovative solutions for ensuring transparency and accountability in AI-generated media through the Coalition for Content Provenance and Authenticity (C2PA) open standard. Gain insights into metadata, watermarking, and fingerprinting techniques that preserve content provenance across platforms, enabling informed decision-making about online content. Delve into future developments in AI consent management and explore how provenance-based models can create new opportunities for content creators while addressing crucial concerns about misinformation, bias, and copyright in the AI landscape.

Syllabus

Building Safe and Fair Generative AI with Content Provenance | John Collomosse | FTC2024

Taught by

SAIConference

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