Agenda

Generative AI challenges how to interpret intellectual property rights, copyright, personal data, and artists' rights. Many companies developing generative AI use this legal uncertainty to train AI models on data without procuring the lawful rights or respecting artists rights. Generative AI has thereby become a highly contested legal area where ethics is hotly debated.

Lingotion offers a solution of generative AI actor cloning that clones an actor with full emotional expression and generates acting in real-time on device. In this session Lingotion shares the legal research results and experience in how to navigate and mitigate these legal risks, and how to safeguard artists rights.

The legal risks are outlined along with their underlying causes and the ways to mitigate them, helping you build a legally compliant and ethical generative AI solution.

The knowledge is applicable for all types of generative AI for developing internally or using third-party suppliers.

Takeaway

The session describes how to create generative AI solutions or select third-party solutions that are legally safe from the ongoing legal challenges and are ethically sustainable. Additionally, it provides a deeper understanding of the underlying complexity of the rights for training data used in generative AI.

Intended Audience

The primary audience is management, developers, publishers, or game directors that want to use or develop generative AI in any form for game development.