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Cristina Anselmi
Cristina Anselmi
Video game localization & AI implementation expert
Video game localization & AI implementation expert
Cristina Anselmi is a video game localization expert with 15 years of experience. She has covered many roles in the industry, starting by translating video games, to managing complete localization cycles of several AAA titles and managing teams of localization specialists. For the past 8 years she has specialized in AI implementation in localization workflows, building a team and a strategy from the ground up and successfully implementing machine translation in a big videogame corporation, with a special focus on adapting AI for inclusive and non-binary language.
She’s also very active in the industry, sharing her knowledge and expertise at conferences and organizing workshops and events to connect people and talk about localization technologies. Her current focus is on helping others integrate AI technologies in the localization workflows, with clear and well structured plans, to make the most out of this technology without jeopardizing quality and keep sharing insights and knowledge in the industry.
KEYNOTE
KEYNOTE
The Evolution of Inclusive Language in Localization with AI technologies: Challenges and Opportunities
The Evolution of Inclusive Language in Localization with AI technologies: Challenges and Opportunities
AI today is more and more present in our daily life and it’s proven to be a great help also in the localization industry, not only to support the translation efforts by increasing productivity, but also to improve the output of machine translation and tweak it to reach the desired quality. But how do these new models behave when it comes to inclusive and non-binary language?
In this keynote we’ll dive deeper into this topic, by first exploring the transformation of inclusive language in the localization industry in the past years, highlighting the shift towards gender-neutral and culturally sensitive expressions and then examining the role of AI in shaping inclusive content, addressing the challenges of bias in machine translation and natural language processing and analyze their presence in the new technologies.
We’ll also tackle the topic of the complexities of non-binary language, showcasing strategies to navigate grammatical and societal barriers and how to shape AI to make sure the output is in line with specifics of this language.
After this analysis, we’ll understand that only by fostering collaboration between linguists, AI developers, and communities, we can make sure to drive innovation that respects linguistic diversity while ensuring that AI-generated content remains inclusive and reflective of human identities.
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