We are very happy to announce that we are organizing the 9th Eindhoven Data Community meetup in collaboration with BG.legal! We will host this meetup at Brainport Industries Campus (BIC) in Eindhoven.
Welcome aboard the LLM hype train! This meetup we will discover the possibilities of LLM's but also navigate the legal landscape of generative AI.
BG.legal: AI-Created or IP-Infringed? Exploring the Legal Boundaries of Generative AI for Developers
The rapid advancements in generative AI have opened up new avenues for software development, allowing developers to generate code and content that can be used in a variety of applications. However, this innovation also raises certain legal questions, for example related to Intellectual Property (IP).
With the help of generative AI, the lines between original and derived content can become gray or blurry, leading to questions about who owns the rights to generated content. For example, if a AI model is trained on copyrighted materials, the resulting output could potentially be considered a derivative work. What could this mean in practice?.
To navigate these legal issues, it's essential for developers to have a basic understanding of intellectual property law. Most importantly by ensuring that the generative AI model and output are not infringing on existing IP rights. For example, recent court cases have addressed the issue of whether AI-generated works can be considered copyrightable, adding new layers of complexity to the IP landscape.
Overall, while generative AI offers many new possibilities for software development, it's important for developers to be mindful of the legal implications on their work. By staying informed and taking a proactive approach to IP, developers can help ensure that their innovations are both legally sound and responsible.
Xebia: LLMs from Hype to Hands-On
ChatGPT has become increasingly popular among professionals who rely on chat.openai.com to help them out in their daily work. Despite its popularity, we spotted some areas for improvement, like privacy, flexibility, and collaboration.To address these issues we developed an internal tool called SlackGPT.
SlackGPT not only tackles these limitations but also gives our colleagues a unique experience when working with and building modern LLM applications.In this talk, we’ll dive into what SlackGPT is, why we built it, how we built it, and what we learned.
- 17:00 – 18:00 🍕 Food
- 18:00 – 18:10 🎤 Welcome
- 18:10 – 19:00 🎤 Frederick Droppert - AI-Created or IP-Infringed? Exploring the Legal Boundaries of Generative AI for Developers
- 19:00 – 19:15 ⏸️ Break
- 19:15 – 20:00 🎤 Rens Dimmendaal - LLMs from Hype to Hands-On
- 20:00-21:00 🥤 Drinks
Speaker 1: BG.legal - Frederick Droppert
Frederick Droppert is a legal professional with a background in IT, software development as well as legal. Combining the technical with the legal world he strives to provide insight through understanding, a job more easily achieved because he speaks – to a certain extent – both languages. Knowledge domains include mostly emerging technologies as well as AI, data, IP and Privacy.
Speaker 2: Xebia - Rens Dimmendaal
Rens is a Principal Data Scientist at Xebia Data. He builds AI products and the teams that drive them. Being a true authority Rens implemented LLMs in production since 2019. He created the NLP & Deep Learning training at Xebia and presented at NeurIPS on Data Centric AI.