Content Credentials

1 Talk 3 Facts 3 Sources

Key facts

Capabilities: Open-source effort for cameras and tools to add metadata about how an asset was made or changed and what AI was used.
Adds provenance information indicating that a reference image was used and records the asset's history.
Integrates with: Generative Match

Timeline 2

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How we verify

20242 events

as of May 2024Capability
Open-source effort for cameras and tools to add metadata about how an asset was made or changed and what AI was used.
“It's an open-source effort for cameras and tools, and certainly Adobe tools, to add information metadata about how the asset was changed or made, what AI was used” 24:05
Unverified1 source· Talk
as of May 2024Capability
Adds provenance information indicating that a reference image was used and records the asset's history.
“They say that a reference image was used, and they're added to these newly generated assets with the provenance and history of the asset.” 21:14
Unverified1 source· Talk

Talks 1

28:28

Build Your Career by Collapsing the Talent Stack

Scott Belsky

Scott Belsky argues that smaller teams and people working across functions can make decisions faster, and that AI may help larger organizations capture some of those benefits. He says product teams should build from customer empathy, keep the first-mile experience simple, and polish the features that differentiate a product before launch. For generative AI products, he describes Adobe’s approach of testing ideas in a playground, using progressive disclosure, grounding work in customer needs, and considering ethics and safeguards. His four-P framework for exploring AI is play, pilot, protect the pilot team with learning-focused measures, and invite provocation.

May 26, 2024· 28 minDiscussed 24:05