Autonomous or agentic artificial intelligence will create challenges for public trust in the technology. That is why building systems of accountability and safety is essential to AI’s future ...

As soon as online photo storage startup SmugMug Inc. heard about Amazon.com Inc.’s Simple Storage Service, an online data storage repository that debuted on March 14, 2006, “my eyes got all big,” ...

This article will detail how artificial intelligence (AI) agents can finally close this integrity blind spot and how it can be implemented, as well as a few example scenarios to demonstrate the ...

BERLIN, GERMANY / ACCESS Newswire / March 13, 2026 / Stormrae, a decentralized platform building infrastructure for human participation in AI evaluation, announced the results of King Arthur, a public ...

Infosecurity spoke to several experts to explore what CISOs should do to contain the viral AI agent tool’s security vulnerabilities ...

Despite significant mathematical refinements, econometrics has shown the weaknesses of its logical underpinnings, primarily during economic turning points—financial crises, pandemics, and geopolitical ...

Comms tech giant paints picture of AI-led communications infrastructure as industry transitions towards a new world of agents.

Boston's chief information officer on a pioneering experiment leveraging AI to expand the public's access to government.

For instance, using a business domain ontology like FIBO (financial industry business ontology) can help keep agents within guardrails and avoid unwanted behavior. The bottleneck is now in the user ...

Threat actors are operationalizing AI to scale and sustain malicious activity, accelerating tradecraft and increasing risk for defenders, as illustrated by recent activity from North Korean groups ...

In December 2024, Microsoft CEO Satya Nadella declared on the BG2 podcast that traditional business applications would “collapse” in the agent era. “They are essentially CRUD databases with a bunch of ...

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.