Latest AI and tech news
I have started three companies, and in all of them, software makes some kind of judgment about people. At Pravoved.ru, the online legal marketplace I co-founded, it was about matching people with lawyers and answering their legal questions. At Jinn, ...
We continue with this series of articles about ethics in data and analytics. So far, we have presented an overview of the current ethical…...
Artificial intelligence is rapidly becoming one of the most powerful forces in modern software engineering. It can write code in minutes, generate tests, debug problems and help build products at a pace that would have seemed impossible only a few ye...
An Architect’s Guide to Zero Trust, Task Scoped Tokens, and Last Mile Enforcement...
Learn how to verify citations, trace claims to original documents, and separate credible evidence from convincing-sounding nonsense....
An AI trust deficit occurs when an organization deploys autonomous AI agents faster than it can prove those agents are acting within policy. It’s the gap between what AI agents are doing and what CIOs can clearly explain to a board, auditor, or regul...
Trust in AI is fast becoming a key CEO and corporate board concern. It’s up to CIOs to establish it.
CoCounsel Legal is getting even better, with new agentic AI capabilities added to the platform you already trust. With the same accuracy, reliability, and transparency you’ve come to expect, CoCounsel Legal is ready to take on even more. Matters get ...
People bring their own ideas to AI, give it context it can’t infer, and check answers they remain responsible for. How could the experiences we design make those contributions easier?...
An agent can finish a task, pass its tests, and still leave you with a problem you haven’t noticed yet....
As dispatch platforms move toward autonomous decisioning, the question every enterprise technical leader asks is where to keep a human in the loop. The instinct is to frame it as a choice between two poles: keep humans approving decisions, or hand co...
25 questions to ask AML software vendors in an RFP, grouped by detection, explainability, model risk, data, security, pricing, and proof.
Compare GPTZero vs ZeroGPT using four text samples and eight screenshots. See the false-positive example, mixed-text results, and limits of AI scores.
SafetyOct 29, 2026
In public governance and highly regulated enterprise landscapes, automated decisions demand verifiable accountability. As AI systems transition from internal productivity tools to customer-facing or citizen-impacting utility systems, public sector CI...
Most professionals see AI as an opportunity to work faster. Corporate investigators see it as an arms race they can’t afford to lose. While 40% of organizations are already using or planning to use agentic AI tools, according to the Thomson Reuters I...
Making AI agents trustworthy starts with domain-scoped context and evals. Lessons from 5 months of beta as DataHub Cloud Context goes GA.
To evaluate a regulatory change agent, test four things: how it maps a regulatory update to your obligations, how it reasons (the execution trace), where it hands decisions to a person, and whether it leaves an audit trail an examiner will accept. Sc...
When an AI agent pays on someone’s behalf, responsibility should follow the mandate that person agreed in advance, says Dmytro Rukin, CEO of LaFinteca. The user answers for the limits they set, the agent provider for keeping the agent inside them, ...
Fraud is getting harder to distinguish from legitimate digital activity. AI-generated scams blend into social feeds and messaging apps, while high-traffic events give fraudsters more opportunities to hide among legitimate customers. Even when overall...
Trusted AI is AI whose performance is known, decisions are traceable, authority is bounded, and errors make it better. Here's how enterprises build it.