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Larian Studios has reassured fans by ruling out the use of generative AI for concept art in its upcoming game, emphasising a cautious approach to AI integration while addressing industry concerns over transparency and creator rights.<\/p>\n<\/div>\n
Larian Studios has sought to defuse a public backlash over its use of generative artificial intelligence after comments by co\u2011founder and game director Swen Vincke prompted concern among fans and creators. Speaking in a Reddit AMA, and following media reporting, Vincke clarified that the studio will not include any generative AI\u2013produced art in its forthcoming Divinity title and that it has \u201cdecided to refrain from using genAI tools during concept art development\u201d to remove doubt about the origin of visual assets. According to the studio\u2019s statement, Larian will only consider AI\u2011generated in\u2011game assets if the models are trained on data the company owns or where consent from creators is explicit. [1]<\/a><\/sup>[4]<\/a><\/sup>[6]<\/a><\/sup><\/p>\n The company\u2019s machine learning director, Gabriel Bosque, expanded on that position, describing machine learning as an efficiency tool rather than a creative replacement. Bosque told fans the studio uses ML to cut down on repetitive, \u201cmechanical legwork\u201d so creatives can focus on higher\u2011value work, and emphasised a commitment not to train voice models on actors\u2019 recordings: \u201cwe explicitly committed in our actor agreements to not using the recordings to train or build AI voice modelers,\u201d he wrote, noting the sensitivity of artificially generating an actor\u2019s voice even with compensation. Industry context shows similar caveats elsewhere in games development, where firms describe AI as productivity\u2011enhancing while facing scrutiny over transparency and labour impacts. [1]<\/a><\/sup>[3]<\/a><\/sup>[2]<\/a><\/sup><\/p>\n Vincke\u2019s remarks to Bloomberg that prompted the backlash, which suggested generative AI had been used to \u201cexplore things\u201d such as placeholder text and concept ideation, appear to have been the root of fan unease. In subsequent posts and interviews he walked back any implication that the studio was \u201cpushing hard\u201d to replace artists, telling IGN the company was \u201cneither releasing a game with any AI components, nor are we looking at trimming down teams to replace them with AI.\u201d That damage\u2011control response was reinforced on social platforms where Vincke reiterated that artists remain central to Larian\u2019s creative process. [5]<\/a><\/sup>[1]<\/a><\/sup>[6]<\/a><\/sup><\/p>\n The controversy highlights a broader industry divide. Some developers and executives cast AI as a benign accelerator of routine tasks, arguing it enables faster iteration and more frequent live\u2011service updates; others, including high\u2011profile creators, warn that generative models cannot replicate the depth of human artistic intent. Troy Baker gave a measured defence of the technology\u2019s place in the ecosystem, arguing that generative AI will \u201cdrive people to authentic experiences\u201d because audiences will seek out art grounded in human experience, while critics like Bruce Straley have been explicit in their opposition. These competing perspectives feed the debate over where to draw lines between experimentation and production use. [2]<\/a><\/sup>[3]<\/a><\/sup><\/p>\n Practical details about Larian\u2019s internal use of generative tools mirror the cautious stance: industry reporting and the studio\u2019s own disclosures indicate AI has been used for early\u2011stage ideation, exploring references, producing rough visual outlines, polishing internal presentations and generating placeholder text, but not for finished, ship\u2011ready assets. Larian\u2019s workforce and hiring data underline the point: the studio employs dozens of concept artists and other creatives and says it is not reducing headcount as part of AI adoption; the planned development cadence for Divinity remains human\u2011led and lengthy. Nevertheless, fans and some creators remain unconvinced, citing fears over attribution, training data provenance and the potential normalisation of AI in creative pipelines. [6]<\/a><\/sup>[4]<\/a><\/sup>[1]<\/a><\/sup><\/p>\n The studio\u2019s public clarifications also touch on disclosure and consent trends elsewhere in the sector. Platforms such as Steam have begun requiring developers to disclose generative AI use on storefront pages so consumers can understand how AI features appear in a product, and other studios have faced questions over paid\u2011actor voice models and opaque training practices. Larian\u2019s pledge to secure ownership or consent for any dataset used to produce game assets, and its explicit contractual protections for actors\u2019 recordings, place it among developers attempting to balance experimentation with protections for creators. Whether that balance will satisfy sceptics remains an open question. [4]<\/a><\/sup>[1]<\/a><\/sup>[2]<\/a><\/sup><\/p>\n For now, Larian frames its approach as iterative: using state\u2011of\u2011the\u2011art ML tools internally to speed idea generation and reduce mundane tasks while drawing clear \u201clines in the sand\u201d around any asset that might appear in the finished game. The studio\u2019s moves , public reaffirmations, contractual guarantees about voice recordings, and an explicit moratorium on genAI in concept art development , are designed to restore trust after a brief but intense backlash that has become one of the more prominent industry flashpoints over AI and creative labour. How other studios respond, and whether community expectations translate into lasting policy changes on training data and disclosure, will determine whether this episode is a momentary flare\u2011up or a turning point for game\u2011industry practice. [1]<\/a><\/sup>[5]<\/a><\/sup>[3]<\/a><\/sup>[2]<\/a><\/sup><\/p>\n ##Reference Map:<\/p>\n\n