Quantum Computing Generative AI & LLMs Drones Satellite Comms Group Messaging Platforms Crypto- currency IoT Devices Metaverse Social Media Incitement 37 Authorities will need to ensure that AI-powered systems which are deployed support a Responsible AI approach, by guarding against bias, ensuring transparency and implementing guardrails against negative outcomes. This is relevant to the management and curation of high-quality data used to train AI models, the development of the models themselves, as well as subsequent monitoring of the models and the decisions they take as a result. Capabilities such as model explainability, auditing and data lineage will be crucial, as will mechanisms to monitor and prevent model drift. Technology capabilities needed: + Has your organization mapped which systems employ AI models and algorithms? + Does your organization have sufficient transparency regarding how these models and algorithms are developed and trained, as well as the ability to audit their outputs? Key questions: Responsible AI Human-Machine Collaboration Video Analytics Responsible AI