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#trust News & Analysis

14 articles tagged with #trust. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

14 articles
CryptoBullishcrypto.news · May 47/10
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Crypto payment security and trust in infrastructure providers

Cryptocurrency payments are achieving mainstream adoption as trust in infrastructure providers becomes critical to industry growth. With the crypto market cap surpassing $4 trillion in 2025, digital assets are now competing alongside traditional payment methods like credit cards and bank transfers, signaling a fundamental shift in how payments are processed and secured.

Crypto payment security and trust in infrastructure providers
CryptoNeutralU.Today · Mar 177/10
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Top Tier Crypto Platforms Crush Broader Market in Trust

Top-tier cryptocurrency exchanges are significantly outperforming lower-ranked platforms in trust and compliance metrics, creating a substantial 20-point governance gap. This divergence highlights the increasing importance of regulatory compliance and trust-building measures in the cryptocurrency exchange landscape.

AIBullishThe Defiant · Mar 97/10
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Mastercard and Google Team Up to Build Trust for AI-Powered Shopping

Mastercard and Google have partnered to develop Verifiable Intent, a cryptographic solution that creates tamper-resistant records of user authorizations when AI agents make purchases on their behalf. This technology aims to build trust and security in AI-powered shopping experiences by ensuring transparent verification of user consent.

Mastercard and Google Team Up to Build Trust for AI-Powered Shopping
AIBearishFortune Crypto · May 106/10
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AI generated identical résumés for a man and a woman: Hers was more likely to be labeled ‘weak,’ while his got a 97% approval rating

A study revealed that identical résumés generated by AI received dramatically different evaluations based on the applicant's perceived gender, with a woman's résumé labeled 'weak' while an identical man's résumé achieved a 97% approval rating. This finding highlights gender bias in AI evaluation systems and suggests that fear of harsher judgment may discourage people from adopting AI tools.

AI generated identical résumés for a man and a woman: Hers was more likely to be labeled ‘weak,’ while his got a 97% approval rating
AIBearishThe Register – AI · Apr 146/10
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The votes are in: AI will hurt elections and relationships

A recent survey reveals public concern that AI technologies will negatively impact elections through misinformation and deepfakes, while also damaging personal relationships. The findings highlight growing societal anxiety about AI's role in information integrity and social cohesion.

AINeutralarXiv – CS AI · Mar 176/10
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AEX: Non-Intrusive Multi-Hop Attestation and Provenance for LLM APIs

Researchers propose AEX, a new attestation protocol for LLM APIs that provides cryptographic proof that API responses actually correspond to client requests. The system addresses trust issues with hosted AI models by adding signed attestation objects to existing JSON-based APIs without disrupting current functionality.

🏢 OpenAI
AIBullishOpenAI News · Apr 116/106
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Announcing OpenAI’s Bug Bounty Program

OpenAI has launched a bug bounty program to enhance the security and reliability of their AI systems. The initiative seeks external help from security researchers to identify vulnerabilities as part of their commitment to developing safe and advanced AI technology.

CryptoNeutralEthereum Foundation Blog · Apr 275/103
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Visions, Part 2: The Problem of Trust

This article explores the fundamental concept of trust in cryptocurrency and blockchain technology, examining how decentralized systems address traditional trust issues. The piece appears to be part of a series analyzing the core philosophical and technical advantages of blockchain technology.

AINeutralarXiv – CS AI · Mar 164/10
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Human-Centered Evaluation of an LLM-Based Process Modeling Copilot: A Mixed-Methods Study with Domain Experts

Researchers conducted a mixed-methods study evaluating an LLM-powered BPMN modeling copilot with five domain experts, revealing acceptable usability (67.2/100) but significantly lower trust levels (48.8%). The study highlights critical reliability concerns and demonstrates the need for human-centered evaluation methods beyond automated benchmarking for LLM business tools.

🏢 Microsoft
AIBullisharXiv – CS AI · Mar 35/105
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Designing Explainable AI for Healthcare Reviews: Guidance on Adoption and Trust

Researchers conducted a mixed-methods study evaluating an explainable AI system for analyzing healthcare reviews, surveying 60 participants and conducting expert interviews. The study found strong demand for AI transparency in healthcare decision-making, with 82% of respondents saying they want to understand AI classification reasoning and 84% considering explainability important for trust.

$OP
CryptoBullishEthereum Foundation Blog · Nov 284/103
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Application Open for Next Billion Fellowship Cohort 4

The Next Billion Fellowship is opening applications for its 4th cohort, focusing on Ethereum's early development and its potential to transform internet trust mechanisms. The article reflects on the historical significance of Ethereum's emergence and the varying perspectives people had during its early adoption phase.

Application Open for Next Billion Fellowship Cohort 4
$ETH
GeneralNeutralFederal Reserve Press · May 153/10
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Federal Reserve Board announces approval of application by the Stephen M. Calk 2025 Trust

The Federal Reserve Board has approved an application by the Stephen M. Calk 2025 Trust, though the article provides minimal details about the nature of the application or its implications. Without substantive information about what this trust does or how it relates to financial markets, the practical significance of this regulatory approval remains unclear.