#trust-in-ai — Public Fediverse posts

Yelp: only 43% of Gen Z trusts AI summaries for restaurants: Survey data covering 1,323 respondents shows 97% of Gen Z research restaurants before spending, while written reviews outrank influencer picks by 19 points. https://ppc.land/yelp-only-43-of-gen-z-trusts-ai-summaries-for-restaurants/ #GenZ #AI #RestaurantReviews #Foodie #TrustInAI

If AI can create convincing falsehoods, how do we know what to trust? Explore the growing challenges of AI deception, truth, and objective reality in the digital age.

#ArtificialIntelligence #TrustInAI #TechEthics

Read more: https://solihullpublishing.com/blog/f/the-death-of-objective-reality-ai-deception-and-trust

ICYMI: Only 18% of Americans trust AI with their data - Meta AI leads: A Cloaked survey of 1,009 U.S. adults finds just 18% trust AI to secure personal data. Meta AI users top the comfort rankings, ahead of Claude and Grok users. https://ppc.land/only-18-of-americans-trust-ai-with-their-data-meta-ai-leads/ #AI #DataPrivacy #MetaAI #TrustInAI #PersonalData

https://www.europesays.com/3000988/ The impact of trust in AI on digital innovation examining the moderation of intellectual capital and task characteristics #AI #ArtificialIntelligence #DataQuality #DigitalInnovation #HumanBehaviour #HumanitiesAndSocialSciences #IntellectualCapital #multidisciplinary #psychology #science #TaskComplexity #TrustInAI

via #Microsoft : Unlocking human ambition to drive business growth with AI

https://ift.tt/c7Kgdf0
#AI #ArtificialIntelligence #BusinessGrowth #FrontierTransformation #MicrosoftIQ #Copilot #Agent365 #Foundry #AzureOpenAI #Microsoft365Copilot #TrustInAI #IntelligencePlusTrust #…

Wie entsteht Vertrauen in agentische KI?

Gitta Kutyniok, Professorin an der Ludwig-Maximilians-Universität und Mitglied der Plattform @LernendeSysteme, macht deutlich:

🔍 Präzises Prompting schafft Klarheit.

🧩 Transparenz ist zentral für Vertrauen.

⚖️ Menschliche Kontrolle bleibt entscheidend.

Kurz: Vertrauen in KI-Agenten muss aktiv gestaltet werden.

🌐 Weitere Stimmen unserer Mitglieder zu #AgenticAI: https://www.plattform-lernende-systeme.de/ergebnisse/standpunkte/agentische-ki/articles/agentische-ki.html

#KI #TrustInAI

FYI: Only 15% of users trust AI search results, Yelp study finds: Yelp and Morning Consult surveyed 2,202 U.S. adults and found only 15% trust AI search platforms "a lot," with 51% describing results as a "walled garden." https://ppc.land/only-15-of-users-trust-ai-search-results-yelp-study-finds/ #AI #SearchResults #TrustInAI #YelpStudy #DigitalTrust

Only 15% of users trust AI search results, Yelp study finds: Yelp and Morning Consult surveyed 2,202 U.S. adults and found only 15% trust AI search platforms "a lot," with 51% describing results as a "walled garden." https://ppc.land/only-15-of-users-trust-ai-search-results-yelp-study-finds/ #AI #SearchResults #TrustInAI #YelpStudy #DigitalTrust

FYI: Most TV viewers distrust AI search results, Gracenote study finds: Gracenote's 2026 study of 4,003 U.S. users finds AI chatbots gaining ground fast in TV content discovery, but 75% of all users still verify chatbot results. https://ppc.land/most-tv-viewers-distrust-ai-search-results-gracenote-study-finds/ #AI #Chatbots #TVContent #DigitalMedia #TrustInAI

https://www.europesays.com/2892936/ The governance gap in Agentic AI: From trust to accountability | Opinion #AgenticAI #AgenticArtificialIntelligence #AI #AIAccountability #AIAdoption #AIBias #AIDecisionMaking #AiDevelopment #AiEthics #AIEvolution #AIFuture #AIGovernance #AILimitations #AIOversight #AiPolicy #AIRegulation #AIRiskManagement #AISecurity #AIStrategy #AITransparency #ArtificialIntelligence #AutonomousAI #EnterpriseAI #GenticAI #TrustInAI

https://www.europesays.com/ie/248958/ After laying off 4,000 employees and automating with AI agents, Salesforce executives admit: We were more confident about…. #Agentforce #AI #AIAutomation #ArtificialIntelligence #ArtificialIntelligence #benioff #DeterministicAutomation #Éire #IE #Ireland #LargeLanguageModels #MarcBenioffAIStrategy #salesforce #SalesforceAI #SalesforceLayoffs #Technology #TrustInAI

#savethedate

📢 AI Forum: Auditing AI-Systems
📅 5.12.2025 | 📍 Berlin & Online

Beim 5. Internationalen Workshop treffen Wissenschaft, Industrie & Politik zu vertrauenswürdiger KI zusammen. Themen sind u. a.: Robot Learning, LLMs, AI Governance, Transparenz & Compliance.

Mit Keynote der EU-Kommission und u. a. den Mitgliedern der Plattform Lernende Systeme Johannes Hinckeldeyn, KION Group, und Sirko Straube, @DFKI

👉 https://www.tuev-verband.de/events/foren/ai-forum-2025

#AI #TrustworthyAI #TrustInAI #Robotics

Ethics and trust aren’t just buzzwords—they’re the foundation of responsible AI.

Let’s build systems that people can truly rely on.

#AWTOMATIG #AIEthics #TrustInAI #AIGovernance #ResponsibleAI #TechForGood

AI is everywhere in business, but trust? That's another story. This article dives into the 'AI trust gap,' where extensive adoption meets a serious lack of confidence. The solution? Transparency, empowering humans, and constant vigilance on ethics.

What's your biggest hurdle to trusting AI in the workplace?
#AI #TechEthics #BusinessAI #TrustInAI #FutureOfWork
https://www.artificialintelligence-news.com/news/how-to-fix-the-ai-trust-gap-in-your-business/

Modern software development feels like a relay race with too many handoffs.
AI tools make parts of it faster — but not clearer.

Leapter rethinks the workflow entirely.
It lets teams co-create logic in visual, auditable blueprints so that code isn’t just generated — it’s understood.

Software moves fast. Trust has to move with it.
https://www.leapter.com/what-is-leapter

#AI #SoftwareDevelopment #OpenSource #TrustInAI

AI systems can easily lie and deceive us – a fact researchers are painfully aware of
#Tech #AI #Chatbots #AIModel #Anthropic #AISafety #AIAlignment #AIEthics #MachineLearning #AIResearch #FutureOfAI #TrustInAI #ResponsibleAI #AIDeception #AIConcerns #LLM
https://the-14.com/ai-systems-can-easily-lie-and-deceive-us-a-fact-researchers-are-painfully-aware-of/

Forget 'AI will take our jobs,' the real hurdle for AI growth is much simpler: we don't trust it. A report highlights a massive public trust deficit, especially among those who haven't touched generative AI. Yet, if it's sorting traffic, we're all in. If it's watching *us*? Suddenly it's Skynet.

#AIethics #TrustInAI #TechDebate #FutureOfWork #AIgrowth
Where do you draw the line with AI's purpose?
Link: https://www.artificialintelligence-news.com/news/public-trust-deficit-major-hurdle-for-ai-growth/

As autonomous AI systems make purchasing decisions, SMBs must address accountability, transparency, and validation to safeguard brand trust and prevent costly errors. #AIethics #RiskManagement #TrustInAI

https://www.techradar.com/pro/when-ai-buys-from-ai-who-do-we-trust

Enterprises aren’t ignoring GenAI code because of speed. They’re cautious because of trust.

As Oliver Welte puts it: LLMs are probabilistic. You can’t guarantee quality. For production, you need humans in the loop.

At Leapter, we build trust in from the start with visual, auditable logic teams can verify together.

🎥 Watch Oliver explain below.
#AI #SoftwareDevelopment #TrustInAI #Leapter

AI won’t close the trust gap by itself.
Teams will close it by demanding transparency, collaboration, and verifiable logic.

That’s why we built Leapter: to turn the black box of AI into a glass box.

Where systems aren’t just generated, but understood.

Where speed doesn’t come at the cost of trust.

Where what you ship is something your whole team can stand behind.

Let’s build that future together.

#AI #SoftwareDevelopment #TrustInAI #Leapter

AI code often looks fine until a subtle error slips through.

Robert Werner explains why validation is the hardest, most expensive challenge for teams today—and how we tackle it differently.

#AI #SoftwareDevelopment #TrustInAI

Theo’s talk (https://www.youtube.com/watch?v=i44jQvcDARo&t=1s) hit the nail on the head:
👉 “The hard part is not writing the code. The hard part is making sure everyone understands what the code should do.”

That’s the real bottleneck. In our latest blog, we explain why shared understanding matters and how making logic visible changes the outcome.

📖 Read here: https://www.leapter.com/who-owns-the-logic-why-shared-understanding-is-the-real-bottleneck/

#SoftwareDevelopment #AI #TrustInAI #Leapter

Big milestone for our team! AWS featured Leapter in two new blogs (English + German). Both highlight our mission to make AI-supported software development more transparent and trustworthy.

📖 Read here:
🌍 English: https://www.aboutamazon.eu/news/aws/bringing-transparency-to-ai-supported-software-development-how-german-startup-leapter-solves-the-black-box-problem
🇩🇪 German: https://press.aboutamazon.com/de/aws/2025/8/mehr-transparenz-in-der-ki-gestuetzten-software-entwicklung-wie-das-deutsche-startup-leapter-das-black-box-problem-loest

Thanks to AWS and our team for making this possible!

#AWS #Leapter #TrustInAI

“When I first came across Leapter, what stood out wasn’t just the tech or the team—it was the market need. And for me, coming from cybersecurity, that means one thing: security by design.” — Investor Frank Stummer

With Leapter, teams can:
✅ See data flows from the start
✅ Validate logic with humans
✅ Build trust in from day one

In an AI-driven world, speed without trust is risk.

🎥 Watch Frank’s take 👇

#AI #SoftwareDevelopment #Cybersecurity #TrustInAI #Leapter

Some AI-generated code looks perfect...until it isn’t.

That’s the trust gap: subtle flaws hiding in elegant logic, costing teams time, confidence, and sleep.

Leapter closes that gap by making every decision visible. Our executable blueprints show the logic end-to-end, so you can see, verify, and trust what you ship.

Because real speed comes from confidence, not guesswork.

📖 Read more: https://www.leapter.com/mind-the-gap-why-we-dont-trust-ai-generated-code-yet/

#AI #SoftwareDevelopment #TrustInAI #LLM #Leapter

Some AI mistakes don’t throw errors; they just quietly break things. 🫠

Robert Werner calls them logical hallucinations: subtle flaws hidden in elegant, syntactically correct code. Easy to skim past, costly to catch late.

In this clip, he explains why they’re so dangerous and how to spot them sooner.

#AI #SoftwareDevelopment #TrustInAI #LLM #Leapter

In our founding story, Robert Werner shares why clarity and collaboration—not just faster code—are at the heart of what we’re building. 🚀

📖 Read the full story: https://www.leapter.com/from-idea-to-trust-the-story-behind-leapter/

#AI #SoftwareDevelopment #TrustInAI #Leapter #Founders #EnterpriseSoftware

“The AI will just write the code.”

That’s what an analyst told a developer friend of Robert Werner in early 2024.

For Robert, it wasn’t a threat. It was an aha moment. If AI was this powerful—and this misunderstood—teams would need a new way to work.

That moment led to Leapter: a visual, AI-native software development platform built on explainability, trust, and collaboration.

👉 Read the founding story: https://www.leapter.com/from-idea-to-trust-the-story-behind-leapter/

#AI #SoftwareDevelopment #DevTools #TrustInAI #HumanInTheLoop

Two big myths about GenAI:
❌ Hallucinations are going down
❌ AI makes development faster

Co-Founder Oliver Welte says both are false—and that belief is costing teams time and trust.

GenAI speeds things up at first. But the real bottleneck?
✨ Verifying the output. ✨

🎬 Watch the clip + tell us if this resonates.

#AI #GenAI #SoftwareDevelopment #TrustInAI #LLM #AIgeneratedcode #Leapter #HumanInTheLoop #EnterpriseSoftware

What if you could validate before you build?

Too many teams write specs, ship code, and only then find out something got lost in translation.

Leapter flips the workflow:
✅ Start with intent
✅ Visualize the logic
✅ Validate early—together

Less rework. More trust. Real collaboration. 🤩

#AI #ProductDev #Leapter #SoftwareDevelopment #TrustInAI

“Keep humans in the loop.” But…which humans? 🤔

In most AI workflows, devs are the validators. But what if that’s the wrong loop?

Leapter Co-Founder Robert Werner suggests a shift: let the domain expert—the person with the intent—validate the logic.

✨ Because when the intent is right, the implementation gets easier. ✨

🎥 Watch the clip 👇
#AI #Leapter #HumanInTheLoop #TrustInAI #SoftwareDevelopment

AI: Explainable Enough

They look really juicy, she said. I was sitting in a small room with a faint chemical smell, doing one my first customer interviews. There is a sweet spot between going too deep and asserting a position. Good AI has to be just explainable enough to satisfy the user without overwhelming them with information. Luckily, I wasn’t new to the problem. 

Coming from a microscopy and bio background with a strong inclination towards image analysis I had picked up deep learning as a way to be lazy in lab. Why bother figuring out features of interest when you can have a computer do it for you, was my angle. The issue was that in 2015 no biologist would accept any kind of deep learning analysis and definitely not if you couldn’t explain the details. 

What the domain expert user doesn’t want:
– How a convolutional neural network works. Confidence scores, loss, AUC, are all meaningless to a biologist and also to a doctor. 

What the domain expert desires: 
– Help at the lowest level of detail that they care about. 
– AI identifies features A, B, C, and that when you see A, B, & C it is likely to be disease X. 

Most users don’t care how a deep learning really works. So, if you start giving them details like the IoU score of the object detection bounding box or if it was YOLO or R-CNN that you used their eyes will glaze over and you will never get a customer. Draw a bounding box, heat map, or outline, with the predicted label and stop there. It’s also bad to go to the other extreme. If the AI just states the diagnosis for the whole image then the AI might be right, but the user does not get to participate in the process. Not to mention regulatory risk goes way up.

This applies beyong images, consider LLMs. No one with any expertise likes a black box. Today, why do LLMs generate code instead of directly doing the thing that the programmer is asking them to do? It’s because the programmer wants to ensure that the code “works” and they have the expertise to figure out if and when it goes wrong. It’s the same reason that vibe coding is great for prototyping but not for production and why frequent readers can spot AI patterns, ahem,  easily.  So in a Betty Crocker cake mix kind of way, let the user add the egg. 

Building explainable-enough AI takes immense effort. It actually is easier to train AI to diagnose the whole image or to give details. Generating high-quality data at that just right level is very difficult and expensive. However, do it right and the effort pays off. The outcome is an AI-Human causal prediction machine. Where the causes, i.e. the median level features, inform the user and build confidence towards the final outcome. The deep learning part is still a black box but the user doesn’t mind because you aid their thinking. 

I’m excited by some new developments like REX which sort of retro-fit causality onto usual deep learning models. With improvements in performance user preferences for detail may change, but I suspect that need for AI to be explainable enough will remain. Perhaps we will even have custom labels like ‘juicy’.

#AI #AIAdoption #AICommunication #AIExplainability #AIForDoctors #AIInHealthcare #AIInTheWild #AIProductDesign #AIUX #artificialIntelligence #BettyCrockerThinking #BiomedicalAI #Business #CausalAI #DataProductDesign #DeepLearning #ExplainableAI #HumanAIInteraction #ImageAnalysis #LLMs #MachineLearning #StartupLessons #statistics #TechMetaphors #techPhilosophy #TrustInAI #UserCenteredAI #XAI

What do real developers think about AI coding tools?

At @wearedevelopers, we asked engineers how AI fits into their workflow. The answers were smart, honest, and not always what the hype says.

No black boxes. No vibe coding. Just systems you can trust.

Read the full post:
🔗 https://www.leapter.com/ai-coding-meets-the-real-world/

#AI #FOSS #SoftwareDevelopment #DevTools #WeAreDevelopers #Leapter #TrustInAI

There's lots of noise around “AI productivity.”

But speed without trust? That’s not productivity. It’s risk.

Great piece by @jkriggins for @TheNewStack on what really matters: ROI, usability, and trust.

Proud to be included. (Hint: it’s not just about faster code.)

👉 https://thenewstack.io/how-to-measure-the-roi-of-ai-coding-assistants/

#AI #SoftwareDevelopment #DevTools #TrustInAI

However, it's not all smooth sailing.

There are concerns about trust in AI’s decision-making, especially with climate change affecting unpredictable weather.

Can we rely on AI? 🤔 #TrustInAI #ClimateChange

Link to the article:
https://www.listentoyourmuse.com/data-ethics

#AIethics #artificialintelligence #machinebias #NorbertWiener #JamesMoor #ethicalAI #AIdecisionmaking #technologyandethics #trustinAI #AIbias #computerethics #globalAIimpact
#newsletter #muse #listentoyourmuse #technology #technologynews

Link to the article:
https://www.listentoyourmuse.com/data-ethics

#AIethics #artificialintelligence #machinebias #NorbertWiener #JamesMoor #ethicalAI #AIdecisionmaking #technologyandethics #trustinAI #AIbias #computerethics #globalAIimpact
#newsletter #muse #listentoyourmuse #technology #technologynews

A UN survey across 21 countries shows trust in AI is highest in low-income and developing nations, with 83% in China and only 37.5% in the US expressing trust. #AI #TrustInAI #China #US #GlobalTrends #TechPerception #DigitalDivide #ArtificialIntelligence #UNSurvey

Recent surveys reveal Europeans are more trusting and optimistic about AI than Americans—here's why that matters.

I've just launched "Trust in the Future," my monthly column for The European Financial Review exploring trust, security, and emerging tech. My first piece analyzes these transatlantic differences and uncovers insights that could reshape how we approach AI adoption.

Would love your thoughts—and topic suggestions for future columns.

Read my full analysis: https://www.europeanfinancialreview.com/surveys-reveal-transatlantic-trust-gaps-in-ai-what-the-us-can-learn-from-europe/

#TrustInAI #AIAdoption #TrustInTheFuture #EuropeanFinancialReview

Before AI can be widely adopted, people must trust it, especially that it can make accurate and fair decisions. AI should be aware of and aligned with human values. #TrustInAI #AIAdoption

People trust legal advice generated by ChatGPT more than a lawyer – new study
#AI #ChatGPT #LegalAdvice #LawAndTechnology #AIEthics #AILiteracy #AIRegulation #LLM #ArtificialIntelligence #AIRisk #LegalTech #TrustInAI #AIResearch #FutureOfLaw
https://the-14.com/people-trust-legal-advice-generated-by-chatgpt-more-than-a-lawyer-new-study/

Study Finds People Prefer AI Legal Advice Blind, Even If They Can Spot It

#AI #LLMs #GenAI #CHI2025 #LegalTech #AIethics #TrustInAI #AIsafety #Legal #Law

https://winbuzzer.com/2025/04/28/study-finds-people-prefer-ai-legal-advice-blind-even-if-they-can-spot-it-xcxwbn/

Study shows a gap in how AI is perceived: experts are more optimistic about its benefits and less concerned about risks compared to the general public.
Is this just a case of expertise leading to realism—or are experts overlooking public fears?
#AI #Ethics #TrustInAI
https://arxiv.org/abs/2412.01459

🔍✅ Our latest paper in Regulation and Governance is out 🤗

We study the interplay of #regulation and #trust in #artificial #intelligence, examining 16 key factors that shape trust and applying the framework to the #AI Act.

Check it out for free: https://doi.org/10.1111/rego.12568

Huge thanks to my #amazing collaborators Aurelia Tamò-Larrieux, Clement Guitton, and Simon Mayer 🙏

#AIRegulation #AIAct #TrustInAI #openaccess #regulation #governance #automation #trustworthy #AI #trustworthyAI #HMC
🌐📊