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paperarXivTrust 82 · PrimaryPublished 1mo agoLive · 1mo ago

Closing the AI Trust Gap: The Case for Independent Certification for Trustworthy AI

Over the past decade, responsible AI (RAI) has produced a substantial body of practice for identifying and mitigating the risks AI poses in high-stakes settings. Yet this work has not produced a market that rewards trustworthiness. Firms that invest seriously in safety, fairness, and oversight cannot consistently prove to consumers, regulators, and shareholders that their systems go beyond the bare minimum of compliance. What is missing is a way for society to recognize or compare the difference. The result is a trust gap: a structural condition in which responsible development efforts happen

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Covers

newsTop 7 Explainable AI Companies Driving Transparent And Responsible AI Adoption - SNS InsidernewsMicrosoft at Black Hat USA 2026: Defending trust in the age of AI and supply chain attacks - MicrosoftnewsSecuring AI Infrastructure Starts With Securing Trust - SMBtechnewsAnthropic Thinks Its Own Success Is Key to Making AI SafenewsMost nurses say AI isn’t good enough to trust with patient care, survey finds - The Washington Post

Covers (incoming)

newsTrump may be forced to reveal secret rules feds use for AI safety testingnewsWhat risk-aware model deployment looks like in regulated industriesnewsThe AI data center boom is causing new accountability problemsnewsTrusteeship in the Age of Artificial Intelligence: The Value of Judgement - TeneonewsAI and Lenders: Who’s Liable if LLMs Err? - Global Finance MagazinenewsThe Varied Perceptions and Experiences of Internal Versus External Auditors in Adopting Artificial Intelligence - The CPA JournalnewsMoody's urges banks to integrate compliance, culture and AI governance to accelerate processes and drive growth - Compliance WeeknewsResponsible artificial intelligence: the value of dissent as a competitive advantage in the age of AI - telefonica.comnewsFaster hiring, weaker trust? AI is reshaping identity risk - HR ExecutivenewsArtificial Intelligence: IT Audit Considerations with Focus on Information Technology General Controls - BDO USAnewsHealth systems building AI agents must balance trust and token budgets - Healthcare IT NewsnewsAI's cheatin' heart will make you weepnewsCalSTRS defines AI standards centered on fiduciary duty, human judgment - Pensions & InvestmentsnewsAnthropic CEO says AI backlash is ‘fundamentally a crisis of trust’newsAI & Automation - Why AI can only ever be as trustworthy as the data behind it - Business Reporternews5 signals of trusted AI: How organizations scale AI with security, governance, and observability - Microsoft

authored (incoming)

personTrisevgeni PapakonstantinoupersonCansu CancapersonFarah NanjipersonWaheedullah PardesspersonJen WeedonpersonJasmijn RemmerspersonEliza KrigmanpersonMatthew BallpersonYalda DaryanipersonKiran IqbalpersonFrancielle VargaspersonMaría Llorente SánchezpersonJoe HumphreyspersonFendi TsimpersonKelly FitzpatrickpersonJeff DunnpersonCatherine Feldman

Related across the graph

newsTrump may be forced to reveal secret rules feds use for AI safety testingnewsAI and Lenders: Who’s Liable if LLMs Err? - Global Finance MagazinenewsAnthropic CEO says AI backlash is ‘fundamentally a crisis of trust’personKelly FitzpatricknewsMoody's urges banks to integrate compliance, culture and AI governance to accelerate processes and drive growth - Compliance WeekpersonCatherine FeldmanpersonCansu CancapersonWaheedullah PardessnewsResponsible artificial intelligence: the value of dissent as a competitive advantage in the age of AI - telefonica.compersonFendi TsimnewsCalSTRS defines AI standards centered on fiduciary duty, human judgment - Pensions & InvestmentsnewsTrusteeship in the Age of Artificial Intelligence: The Value of Judgement - TeneonewsThe AI data center boom is causing new accountability problemsnewsAI's cheatin' heart will make you weepnews5 signals of trusted AI: How organizations scale AI with security, governance, and observability - MicrosoftnewsSecuring AI Infrastructure Starts With Securing Trust - SMBtechnewsAI & Automation - Why AI can only ever be as trustworthy as the data behind it - Business ReporterpersonJasmijn RemmerspersonJeff DunnnewsMicrosoft at Black Hat USA 2026: Defending trust in the age of AI and supply chain attacks - MicrosoftpersonFarah NanjipersonFrancielle VargasnewsTop 7 Explainable AI Companies Driving Transparent And Responsible AI Adoption - SNS InsidernewsThe Varied Perceptions and Experiences of Internal Versus External Auditors in Adopting Artificial Intelligence - The CPA JournalpersonJoe HumphreysnewsWhat risk-aware model deployment looks like in regulated industriespersonKiran IqbalnewsHealth systems building AI agents must balance trust and token budgets - Healthcare IT NewspersonEliza KrigmannewsFaster hiring, weaker trust? AI is reshaping identity risk - HR ExecutivepersonMatthew BallnewsMost nurses say AI isn’t good enough to trust with patient care, survey finds - The Washington PostpersonTrisevgeni PapakonstantinoupersonMaría Llorente SánchezpersonJen WeedonnewsAnthropic Thinks Its Own Success Is Key to Making AI SafepersonYalda DaryaninewsArtificial Intelligence: IT Audit Considerations with Focus on Information Technology General Controls - BDO USA

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cs.AI