Quantum Computing Generative AI & LLMs Drones Satellite Comms Group Messaging Platforms Crypto- currency IoT Devices Metaverse Social Media Incitement 36 Responsible AI Responsible AI is an approach to developing and deploying AI systems in a safe, trustworthy and ethical manner. This approach, often referred to as Ethical AI, is meant to ensure that AI applications are unbiased, secure from attack, protect privacy and will do more good than harm. As the use of AI increases, concerns about its potentially negative impact are growing. Consequently, demands are rising for enterprises and government organizations across all sectors to adopt a Responsible AI approach and to ensure that any systems they use, whether developed in-house or by external vendors, adhere to Responsible AI principles. Law enforcement authorities are increasingly adopting tools and platforms with AI-powered capabilities. Due to growing calls for adopting Responsible AI principles, authorities will need to focus on considerations around privacy, reliability, explainability and governance in their AI systems - both when selecting solutions from external vendors and when developing solutions internally. Impact: Time till mainstream adoption: NEAR TERM It is expected that over time an increasing number of countries will enact regulations that require adherence to Responsible AI principles. In the US, President Biden issued on Oct. 30, 2023 an Executive Order on Artificial Intelligence with the goal of encouraging the safe, secure and trustworthy development and use of AI. The executive order establishes new requirements and guidance for government agencies, as well as IT vendors, in regards to AI governance, innovation, and risk management. Among other new requirements, the order stipulates that all federal agencies must appoint a Chief AI Officer (CAIO) within 60 days. In addition, developers of large AI models will need to share safety data, training information and reports with the US government prior to publicly releasing future large AI models or updated versions of such models. 36 AI-POWERED INFRASTRUCTURE Human-Machine Collaboration Responsible AI Human-Machine Collaboration Video Analytics Responsible AI