Etiquetas: interoperability

The UK Competition and Markets Authority has released a report on “agentic AI,” systems that act on a consumer’s behalf for activities such as shopping or insurance hunting. While the technology promises convenience and cost savings, the CMA flags a range of risks, including biased recommendations, hallucinated information, over‑reliance, algorithmic pricing collusion, data‑privacy concerns, and lock‑in to closed ecosystems. The regulator stresses that businesses remain fully responsible for outcomes, and calls for transparent practices, strong interoperability standards, secure digital identities, and clear consumer consent mechanisms before the market fully embraces autonomous digital assistants. Leer más

Google introduced the Agent-to-Agent (A2A) protocol, an open standard that lets AI agents communicate directly, share data, and collaborate across applications and enterprise workflows. Built on existing web standards and OpenAPI authentication, A2A supports text, audio, and video streams while offering secure, asynchronous interactions for long‑running tasks. The protocol promises to break down silos between specialized agents, enabling richer automation in fields such as customer service, supply chain, and healthcare, though it also raises security and scalability concerns that will need further governance. Leer más

The evolution of artificial intelligence is moving from larger, single‑model systems toward agentic AI, where multiple purpose‑built agents collaborate in real time. This shift hinges on a unified, identity‑resolved data layer that provides shared context, ensuring agents act coherently rather than drift. Interoperable APIs and an architecture designed for continuous feedback loops replace monolithic platforms, allowing AI to operate as an ongoing intelligence layer rather than a one‑off answer generator. Humans remain central, setting goals and overseeing the autonomous agents that handle minute‑by‑minute decisions. Leer más

The Linux Foundation has created the Agentic AI Foundation (AAIF), a neutral hub for open‑source AI‑agent projects. Anthropic, Block and OpenAI are anchoring the effort with donations of key technologies: Anthropic’s Model Context Protocol (MCP), Block’s Goose agent framework, and OpenAI’s AGENTS.md instruction file. The group aims to prevent a fragmented landscape of proprietary AI agents by fostering interoperability, shared safety patterns, and industry‑wide standards. Major members such as AWS, Bloomberg, Cloudflare and Google have joined, signaling broad support for an open, mix‑and‑match approach to AI‑agent development. Leer más