AI chatbots have become increasingly commonplace, as seen in the example of ChatGPT, a conversational chatbot, which can interpret natural language inputs and generate highly coherent text responses. But the technological world has recently seen the birth of even more sophisticated AI models, known as multimodal systems, such as Google’s Gemini. The exact distinctions between ChatGPT and the multimodal types of artificial intelligence could be hinged on the latter’s potential to further expand the capabilities of machine learning.
Such multimodal systems use a combination of inputs (like text, images, or sound) to deliver more nuanced and complex responses. This holistic approach overcomes the limitations of single-modal AI, like text-only chatbots, and provides a far richer user experience.
Multimodal AI technologies can possibly open up a completely new landscape in terms of patent rights for innovative implementations that leverage multiple modalities. However, the exact criteria and mechanisms for ensuring such rights remain to be fully defined. It is crucial for legal professionals who are current or future players in the AI space to stay informed about ongoing developments in this domain for securing patent rights, understanding the legal implications, and pursuing strategic planning for their organizations.
An in-depth exploration of this topic is available in the comprehensive report on multimodal AI by Law.com.