As opportunities for human and machine interactions continue to grow, it is critical to stay updated on the associated risks, benefits, capabilities and limitations. Whether you are just starting your AI journey or refining your AI processes, join this interactive session to dive deep into the legal risks, compliance challenges, safety and ethical considerations connected to the latest breakthroughs in Large Language Models (LLMs) and Natural Language Processing (NLP).

In addition to speaker-prepared reference materials for your work after the conference, don’t miss enhanced Q&A, as well as practical “tabletop” exercises on how to put theory into practice, including real-world problem-solving using generative AI tools.

Topics will include:

• Forging fluency with AI, Algorithmic Decision-Making, Machine Learning and Data Analytics
• Exploring the evolution and impact of LLMs highlighting their specific strengths and weaknesses
• Establishing a solid ethical foundation for models such as GPT-4 and ChatGPT
• Unpacking advancements and ethical considerations in the role of Natural Language Processing (NLP) in AI
• Addressing bias in NLP to ensure powerful NLP tools operate fairly and transparently
• Minimizing bias of the industrial impact of transformer models such as OpenAI’s GPT-4, T5, XLNet (processing large amounts of unstructured data)
• Understanding and implementing explainable AI (XAI), where decisions can be traced which strengthens accountability and trust connected to NLP
• Addressing privacy and legal considerations across applications of LLMs and NLP
• Crafting policies and regulations to ensure responsible use of technologies such as DeepSeek, Grok, ChatGPT, Gemini, Llama 4 and Copilot
• Developing and applying prompt engineering techniques to maximize the benefits of GAI tools, safeguard against their limitations and enhance overall outcomes