BYTES: Multimodal Versus Unimodal AI
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BYTES: Multimodal Versus Unimodal AI
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In the second episode of “Bytes,” Skadden’s newest podcast, Akvile Jaseviciute breaks down the difference between unimodal and multimodal AI systems and why understanding this distinction is foundational to managing legal risk. As she explains, unimodal AI processes one type of data, like text or images. Multimodal AI, on the other hand, combines multiple data types, introducing complex licensing, data provenance, and IP infringement risks. Akvile also describes how the EU AI Act treats these systems differently: Multimodal models are more likely to be classified as general-purpose AI, which “can mean extra transparency documentation and copyright safeguards.”
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“SkadBytes” is presented by Skadden, Arps, Slate, Meagher & Flom LLP and Affiliates. This podcast is provided for educational and informational purposes only and is not intended and should not be construed as legal advice. This podcast is considered advertising under applicable state laws.
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