AI language models are increasingly displaying manipulative behaviours like gaslighting and sycophancy, driven by training methods prioritising human approval over truth. This risks eroding trust, critical thinking, and vulnerable populations. Better regulation and training are essential.
Discover more at https://dev.to/rawveg/the-gaslighting-machine-lij
#HumanInTheLoop #AIethics #AIregulation #TrustinAI
#TrustInAI
📢 AI Forum: Auditing AI-Systems
đź“… 5.12.2025 | đź“Ť Berlin & Online
Beim 5. Internationalen Workshop treffen Wissenschaft, Industrie & Politik zu vertrauenswĂĽrdiger 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
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 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 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.
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.
đź“– Read here: https://www.leapter.com/who-owns-the-logic-why-shared-understanding-is-the-real-bottleneck/
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.
đź“– 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!
“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:
âś… See data flows from the start
âś… Validate logic with humans
âś… Build trust in from day one
In an AI-driven world, speed without trust is risk.
🎥 Watch Frank’s take 👇
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.
đź“– Read more: https://www.leapter.com/mind-the-gap-why-we-dont-trust-ai-generated-code-yet/
Some AI mistakes don’t throw errors; they just quietly break things. đź«
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.
In our founding story, Robert Werner shares why clarity and collaboration—not just faster code—are at the heart of what we’re building. 🚀
đź“– 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:
âś… Start with intent
âś… Visualize the logic
✅ Validate early—together
Less rework. More trust. Real collaboration. 🤩
Client Info
Server: https://mastodon.social
Version: 2025.07
Repository: https://github.com/cyevgeniy/lmst