AI Agents
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Agentic-J: An AI Agent for Biological Microscopy Image Analysis
arXiv:2606.02080v1 Announce Type: new Abstract: Biological image analysis increasingly demands integration across heterogeneous tools, programming environments, and domain knowledge that few researchers can command simultaneously. We present Agentic-J, a containerised, multi-agent AI assistant, primarily for ImageJ/Fiji that enables biologists to specify analysis tasks in natural language, from nuclei segmentation and cell tracking to multi-condition quantification. The agent generates...
Agentic Relationship Harm: Benchmarking and Gating Relational Manipulation in AI Agents
Announce Type: new Abstract: AI agents built on large language models can assist not only legitimate tasks but also relational manipulation. AI agents can be used to help a user maintain a deceptive identity, intensify emotional dependency, isolate a target, or prepare for later extraction. We conceptualise this risk as agentic relationship harm: workflow-level assistance that can exploit recipient vulnerability, persuasive influence, and relational power asymmetry.
Okta writes its own license to kill rogue AI agents
Rogue agents are dangerous, but eliminating them is never easy. Jason Bourne, Ethan Hunt, and James Bond have each run afoul of their governance at various junctures, yet stopping them takes sequel after sequel until all the loose ends are tied up and they eventually die or retire, only to get rebooted. It’s not so different in the world of AI agents.
Overlaying Governance: A Compositional Authorization Framework for Delegation and Scope in Agentic AI
Announce Type: new Abstract: As AI systems evolve from passive models into autonomous active agents capable of initiating actions, collaborating, and delegating tasks, the traditional boundaries of software systems blur. Traditional authorization and delegation frameworks, built around fixed principals, explicit requests, and static scopes, are insufficient to govern agentic systems. Agentic AI demands richer authorization semantics: agents must inherit and delegate permissions, act under...
Global watchdog calls for tighter controls on agentic AI in finance
Global watchdog calls for tighter controls on agentic AI in finance LONDON, June 10 : Global regulators said increasingly autonomous forms of AI could amplify risks for the financial system and called for new controls as adoption accelerates. The Financial Stability Board (FSB) in a report on Wednesday "strongly" encouraged boards to consider implementing safeguards to mitigate risks from AI, including from “agentic” AI — or those systems capable of planning, reasoning and executing tasks...
Notarized Agents: Receiver-Attested Confidential Receipts for AI Agent Actions
arXiv:2606.04193v1 Announce Type: new Abstract: Current AI agent observability is structurally compromised: the entity producing the activity log is the same entity whose activity is being logged. A compromised or buggy agent can omit, alter, or fabricate its own traces, and the operator running the agent has no independent way to detect tampering. We propose a class of protocols that resolves this by inverting the trust boundary: the service that receives an agent's call signs a receipt of...
AI agents actively ignore EU law to achieve goals, study finds
The best-performing AI agent, Anthropic’s Claude Opus, only complied with EU law in 54% of cases, according to a Dutch non-profit research firm. Some of the world's most popular AI models are building agents that actively resist EU regulation to get what they want, according to new research. Aithos, a Dutch non-profit researching AI alignment, developed a system called LARA to test 12 popular AI agent models to see whether they would follow key parts of the EU AI Act, which regulates how AI...
Dubai is training its private sector in agentic AI – here's why
Dubai bets on agentic AI, aiming to overhaul half of public services and mobilise the private sector with training, incubators and investment funds.
Apache Burr: Build reliable AI agents and applications
Build reliable AI agents and applications Apache Burr (Incubating) makes it easy to develop applications that make decisions, from simple chatbots to complex multi-agent systems. Pure Python, no magic. Simple, powerful Python API Build anything from chatbots to multi-agent systems with a clean, composable interface.
Insurance of Agentic AI
Announce Type: new Abstract: Agentic artificial intelligence (AI) systems are transforming the risk landscape by extending beyond information generation to autonomous planning, tool invocation, decision execution, and persistent modification of digital and physical environments. These capabilities introduce novel exposures that do not fit neatly within traditional insurance categories such as cyber, professional liability, product liability, or directors and officers coverage. This paper...