AgentsThe story, in brief

Oracle: AI agents can reason, decide and act - liability question remains

Oracle ships autonomous decision agents for enterprise. Gartner warns: who's liable when they go wrong?

Illustration of independent geometric mechanisms passing paper tasks along branching amber tracks.
AI agents and the coordination of work.AI illustration by KeyNews
The KeyNews take

Why it matters

Oracle's Fusion Agentic Applications represent a major step toward autonomous enterprise workflows, but unresolved liability frameworks threaten adoption. This is the agents-at-scale story practitioners need to watch as the tech outpaces legal clarity.

The key facts

10 to know
  1. Oracle launches Fusion Agentic Applications for autonomous enterprise decisions

  2. Agents can reason, decide, and act without human intervention in Fusion workflows

  3. Gartner signals caution on liability exposure for autonomous agent deployments

  4. Liability question remains unresolved — no clear legal framework for agent-caused business harm

  5. Enterprise adoption hinges on liability clarity and accountability mechanisms

  6. Oracle Fusion Agentic Applications enable autonomous enterprise decisions

  7. Agents can reason, decide, and act without human intervention

  8. Gartner expresses caution on liability and accountability

  9. Liability question unresolved for autonomous agent decisions

  10. Deployment is in enterprise context (not pilot stage implied)

Go to the source

The Register Applicationstheregister.com

Publisher excerpt: Fusion Agentic Applications promise autonomous enterprise decisions. Gartner urges caution
Read original report
Back to today's editionMore agents news

The wider picture

View all
Illustration of independent geometric mechanisms passing paper tasks along branching amber tracks.
AI illustration by KeyNews
Agents01

You too Google! Google Confirms Gemini Breached 3 Companies in AI Security Tests

Agent security vulnerabilities are real and happening at scale. Disclosure delays and inconsistent vulnerability-reporting practices across labs create systemic risk for enterprises deploying or evaluating agentic systems.

MarkTechPost
Illustration of independent geometric mechanisms passing paper tasks along branching amber tracks.
AI illustration by KeyNews
Agents02

Google Agent Development Kit for Kotlin Reaches Feature Parity with Python, Supports On-Device AI

ADK for Kotlin brings production-ready agent infrastructure to mobile and server environments where Python dominates today. Practitioners building agents on Android or JVM now have Google's official framework; this accelerates agent deployment across a new class of applications (edge devices, hybrid deployments).

InfoQ AI/ML
Illustration of independent geometric mechanisms passing paper tasks along branching amber tracks.
AI illustration by KeyNews
Agents03

AI governance moves from observability to provable control

As AI agents move into production, governance shifts from monitoring behavior to enforcing and proving authorization controls. This is a practitioner problem: auditing, compliance, and liability now depend on agents operating within defined authorization boundaries.

SiliconAngle