Topic
trust
AI Scammers Outperform Humans in Building Trust, New Study Finds
A new study from four universities tested AI chatbots against human scammers in trust-building phases of pig butchering fraud. The AI outperformed humans, with nearly half of test subjects complying compared to fewer than one in five for humans. The findings highlight the growing threat of AI-powered social engineering, potentially replacing forced-labor workers in Southeast Asian scam operations.
Technology The Chatbot That Foretold Why People Share Secrets With ChatGPT
A new book, 'Inventing ELIZA', recovers the source code of the 1960s chatbot from MIT Archives. The 'ELIZA effect' shows how people attribute empathy to computers, with profound implications for modern AI trust and enterprise deployment.
Technology Trust Is the New Currency: How Couple Founders Mohammad Imran Shaikh and Saarah Fatima Are Redefining Business Communication Through TrustSignal
As digital fraud and phishing rise, TrustSignal offers a trust-first communication platform. Founded by couple Mohammad Imran Shaikh and Saarah Fatima, it focuses on verified, secure interactions. The platform moves beyond traditional CPaaS by prioritizing trust, transparency, and technology.
Commodities Gold traders seek tax safeguards to boost trust in new Gold Monetization Scheme
The Gold and Silver Merchants Association has urged the Indian government to address tax-related concerns under the proposed Gold Monetization Scheme (GMS) 2.0, citing fears of Income Tax scrutiny over inherited gold lacking purchase documents. The association calls for clear legal protection, simple KYC procedures, and direct involvement of jewellers to build public trust and reduce gold imports.
Sovereign Execution Brokers: Enforcing Certificate-Bound Authority in Agentic Control Planes
A new security model called the Sovereign Execution Broker (SEB) introduces a runtime enforcement boundary that verifies certificate-bound execution contracts before allowing mutations in agentic infrastructure. By separating proposal, admission, and execution, SEB turns certified authority into a short-lived, revocable, auditable capability. The prototype was evaluated on AWS and Kubernetes.
Business Trust, product quality—not virality—drive enduring consumer brands, say founders at ETRetail Summit 2026
Founders from AS-IT-IS Nutrition, Sid's Farm, Yogabars, and Drink Prime at the ETRetail Summit 2026 emphasized that while social media is effective for discovery, long-term brand success hinges on trust, product quality, and customer satisfaction rather than viral tactics. They cautioned against over-reliance on founder branding and influencer marketing without solid product fundamentals.
E-Commerce & Marketplaces Why trust, authenticity and wellness are redefining the future of beauty brands, says Blossom Kochhar at ETRetail E-Commerce and Digital Natives Summit 2026
Blossom Kochhar, Chairperson of Blossom Kochhar Group of Companies, told the ETRetail E-Commerce and Digital Natives Summit 2026 that modern beauty consumers demand science-backed transparency and holistic wellness. She emphasized that trust, ethical practices, and AI-driven personalization are defining the next generation of brands.
ACUTE Protocol Improves LLM Calibration and Trustworthiness with Activation-Based Confidence Estimates
A new research protocol, ACUTE, leverages model activations to produce better-calibrated confidence estimates for large language models. Combined with a novel metric called EURO that balances calibration and informativeness, ACUTE outperforms baselines across multiple tasks and model families, offering enterprises a path to more trustworthy AI outputs.
Trust Without Trusting: Recomputable Protocol Verifies Autonomous Agent Rules Without Central Authority
A new protocol called the Combined Evidence Protocol (CEP) enables autonomous agents to verify that a platform or consortium applied its own rules without relying on a trusted third party. Already anchored on Base L2 since March 2026, CEP uses recomputation from anchored data to turn rule enforcement into a verifiable fact. The protocol addresses the gap that arises when agents depend on a closed border (e.g., a marketplace) and need to check that the border-owner followed its published rules.
Supply Chain How a $1.7M cargo theft forced a shipper to overhaul its transportation security
A sophisticated cyber-enabled cargo theft cost Global Protection Corp $1.7 million and forced a complete overhaul of its transportation security. The company is now reducing broker dependence and building direct carrier relationships.
New Survey Maps How Evidence Tracing and Execution Provenance Can Make LLM Agents Trustworthy
A new survey from arXiv explores evidence tracing and execution provenance as key mechanisms for ensuring trustworthiness in LLM-based agents. The paper defines a unified framework connecting retrieval grounding, tool-use safety, memory lineage, and failure diagnosis, and reviews benchmarks and open challenges.
Explainable deep learning improves human mental models of self-driving cars, study finds
A new method called Concept-Wrapper Network (CW-Net) provides faithful explanations of deep neural network planners in self-driving cars, improving human drivers' ability to anticipate vehicle behavior, especially in surprising situations. Deployed on a real autonomous vehicle, the system shows that explainable AI can be practical and useful in real-world settings.
GEASS: Gated Evidence-Adaptive Selective Caption Trust Tackles VLM Hallucination
Vision-language models often hallucinate objects, and feeding them their own captions can actually worsen accuracy. Researchers propose GEASS, a gated evidence-adaptive module that decides per query how much of the caption to trust, improving accuracy across four VLMs on two benchmarks without training or additional parameters.
New Study Measures Trust Between AI Agents, Revealing Formation, Breakage, and Recovery Dynamics
A preprint on arXiv introduces a behavioral measure to quantify trust between language-model agents using costly verification in a cooperative game. Testing six frontier model snapshots, the study finds that four models reduce verification by 60-85% when paired with reliable teammates, while trust recovery is slower than formation and clustered failures sustain suspicion longer. The results suggest that calibration, not maximal suspicion, should guide governance of multi-agent AI systems.
TrustedARI: A New Trust-Native Infrastructure Secures Agentic AI Routing for Enterprise Deployments
TrustedARI, presented by a research team on arXiv, is the first trust-native agentic routing infrastructure for agentic AI. It addresses fundamental trust risks in agent routing, offering a 39.34% reduction in handshake overhead and verifiable billing with 28.20x faster proof generation, all without modifying service providers.
Technology Report: 74% of Consumers Trust a Personal AI Agent More Than Their Best Friend for Purchases
A new Accenture survey of 25,000 consumers across 16 countries reveals that 74% would trust a personal AI agent more than their best friend to make a purchase on their behalf. Additionally, 74% are willing to let AI agents handle commerce tasks like negotiating deals and managing subscriptions, while 9% would allow fully autonomous shopping without approval.
Technology The next identity frontier: Verified workforce and the rise of agentic trust
Verified workforce identity is moving from compliance to core operational discipline as AI-driven impersonation and deepfakes create convincing fake worker identities. Real-world incidents show multimillion-dollar losses from employee impersonation attacks, while Gartner predicts 1 in 4 job candidate profiles will be fake by 2028. The emergence of non-human agentic identities further demands ongoing reverification and trust frameworks.