AI transparency

Agentic AI, intelligent systems acting as autonomous agents, is rapidly integrating into business, yet raises significant risks. Organizations deploying it must address potential deviations from business rules, regulatory mandates, and ethical standards. Low-code platforms offer a solution by embedding governance and compliance into the development process, unifying app and agent development within a single environment and enabling seamless integration with existing systems. This approach fosters transparency, control, and scalability, ensuring AI-driven processes align with strategic goals while mitigating risks.

Motorola Solutions is introducing “AI nutrition labels” for its public safety and enterprise security products, aiming for transparency in AI deployment. These labels will detail aspects like AI type, data ownership, human oversight, and intended purpose. The initiative, stemming from the Motorola Solutions Technology Advisory Committee (MTAC), showcases the company’s commitment to responsible AI, providing clear information about AI’s role in protecting communities and supplementing human capabilities during incidents.