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VALVE RELAXES AI DISCLOSURE RULES ON STEAM

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Techlife News #743

Valve has quietly revised its approach to artificial intelligence disclosures on Steam, signaling a meaningful shift in how the platform treats AI use in modern game development.

VALVE RELAXES AI DISCLOSURE RULES ON STEAM

The update eases earlier requirements that pushed developers to explicitly disclose AI involvement, drawing a sharper distinction between AI-generated content included in a finished game and AI tools used internally during production.

While the policy change was not accompanied by a major announcement, its implications are significant. Steam is the world's largest PC game marketplace, and its rules often shape industry norms. By narrowing what must be disclosed, Valve appears to be acknowledging how deeply AI tools are already embedded in everyday development workflows.

HOW STEAM’S POLICY HAS CHANGED

Under the revised guidelines, developers are no longer required to disclose every instance where AI tools were used during development. Instead, disclosure is now focused on whether AI-generated content is directly present in the shipped game itself. This includes assets such as artwork, dialogue, music, or other in-game elements that were created or substantially generated by AI systems.

By contrast, AI tools used behind the scenes—such as for concept exploration, animation assistance, bug detection, code optimization, or workflow automation—do not need to be declared. This marks a clear departure from earlier expectations, which many developers felt were ambiguous and overly broad.

Valve's updated wording makes clear that the company is less concerned with how a game is made and more focused on what players actually receive when they download and play it.

WHY GENERATIVE AI HAS BEEN CONTENTIOUS

Generative AI has become one of the most polarizing topics in game development. Players increasingly ask for transparency, particularly around art and writing, amid concerns over originality, ethics, and the use of copyrighted material in training data. At the same time, studios are under pressure to control costs, shorten production timelines, and compete in an increasingly crowded market.

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