Quantum Computing Generative AI & LLMs Drones 6G Networks Satellite Comms Group Messaging Platforms Crypto- currency IoT Devices Metaverse 5G Networks Social Media Incitement 38 Human-Machine Collaboration Human-machine collaboration holds the potential to augment human expertise with AI capabilities, such as enabling the rapid analysis of massive volumes of data and automating manual data-intensive tasks. The objective is not to replace humans, but rather to augment their abilities and allow users to make higher quality data-driven decisions. Large language models (LLMs) are a key technology that can enable human- machine collaboration. LLMs are AI models which are trained on vast amounts of texts to learn statistical patterns, relationships, and language structure within the data, thus allowing them to understand and generate human language. AI-POWERED INFRASTRUCTURE Incorporating AI technology into software solutions such as network intelligence solutions, decision intelligence platforms and others can help investigators and analysts work faster, handle the overwhelming information overload more effectively and make smarter decisions. AI technology has many applications including uncovering hidden patterns and anomalies, risk scoring, analyzing multimedia content and more. An LLM-powered ‘co-pilot’ embedded within investigative systems can take natural language prompts or questions from the user, transform them into queries, filter the resulting data and present it back to the user. The ability to ask questions in natural language would relieve analysts and investigators from the burden of creating complex queries. By utilizing LLM technology, the system can interpret terms and concepts that are not explicitly defined, such as recognizing that 'night-time' refers to the period between 8pm and 6am. Additionally, it can grasp contextual information from the preceding questions, enabling a deeper understanding of the user’s objective. Moreover, the AI assistant can suggest follow up questions and actions after the initial prompt, based on historical behavior and actions of system users, which the analyst or investigator may not have thought of on their own. Impact: Responsible AI Human-Machine Collaboration Video Analytics Human-Machine Collaboration