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⚖️ NY vs. AI: Chatbots Facing Lawsuit Risk?

Bot-om Line: Your Chatbot is Unlicensed!

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Imagine getting sued because your chatbot gave a simple medical tip. New York is pushing a wild new law that could ban AI from acting like a doctor, lawyer,…

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AI INSIGHTS

new-york-lawmakers-target-ai-tools-acting-like-licensed-professionals

New York lawmakers are advancing a bill that could ban AI chatbots from answering questions in licensed professions like medicine, law, dentistry, psychology, nursing, engineering, and social work.

The bill would make it illegal for software to give a “substantive response” in areas that normally require a professional license. Chatbots could potentially be banned from answering questions like:

  • medical guidance / legal advice

  • psychological counseling / engineering recommendations

The regulation covers 14 licensed professions. Unlike many tech regulations that rely on government fines, this bill includes a private right of action. If passed, the law would take effect ~ 3 months after the governor signs it.

→ In other words, anyone could sue a chatbot provider if they believe the AI gave professional advice. Adding warnings would not protect developers under this law. Users would still be able to sue chatbot providers directly.

One major concern is that the bill does not clearly define what counts as a “substantive response.” That creates gray areas. This ambiguity could make even harmless educational responses legally risky.

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When would the law take effect if signed by the governor?

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AI SOURCES FROM AI FIRE

1. Stop Trusting AI With Your Data. It Doesn't Read, It PRETENDS (Here's the Proof). You upload documents to AI expecting accurate answers. But new experiments show the opposite.

2. Switch from ChatGPT to Claude or Any Other AIs Without Losing Prompts, Files, or Memory. You can actually take your custom context with you. See how it works for power users who hate losing their specific history.

3. ONLY AI Certifications Worth Getting in 2026 (Honest Tier List & Ranked). Most AI certifications are useless. A few can actually help your career. Here’s an honest 2026 tier list ranking the only AI certifications that matter.

4. Ready? Here's Everything You Need to Know To Master AI in 2026 (No Tech Skills Needed). Stop starting every chat from zero. Learn how to carry your voice, goals, and business context into every AI conversation.

5. 5 SaaS Ideas with Real Demand to Make You Richer (No Code + Free Prompts). Don’t search for “big startup ideas.” The real money is hiding in smaller problems. These 5 are worth a look. I promise. Most people ignore #3.

TODAY IN AI

AI HIGHLIGHTS

🎬 A Chinese embassy posted an AI video mocking Trump’s “Shield of the Americas”. In this video, a U.S. eagle promises security, then locks the region inside a cage.

📈 Weird AI effect: coding gets cheaper, but hiring engineers increases, because companies now want to build more software. Is it a classic Jevons paradox in action?

😆 Amazon added a “Sassy” personality to Alexa+. This adults-only mode can curse or roast you, still block NSFW content. You must pass extra security checks to use it.

🗺️ Instead of searching Google Maps, you can now talk to it. New “Ask Maps” button lets you ask complex questions like where to charge a phone. Rolling out now.

🥑 Meta’s secret AI model “Avocado” just got delayed after disappointing tests. Launch now pushed to May, and Meta might even considere using Google Gemini!?

🖥️ Perplexity launched Personal Computer, an always-on AI agent running on a Mac mini that can control your files, apps, and sessions. Really worth seeing it in action.

💰 Big AI Fundraising: PixVerse, backed by Alibaba, secured $300M. It reflects growing confidence in PixVerse’s innovative technology & the AI video sector.

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AI BREAKTHROUGH

google-is-using-ai-news-articles-to-predict-flash-floods

Flash floods kill 5,000+ people every year, and they’re one of the hardest disasters to predict. Google’s solution? Teach AI to read the news. They analyzed 5M news articles worldwide & extracted reports of flood events. From this, they built a new dataset called Groundsource:

  • 2.6M flood reports identified from news coverage

  • Geo-tagged locations and timestamps of flood events

  • A historical dataset created from written reports instead of sensors

This dataset was then used to train a forecasting model. The system is now integrated into Google Flood Hub, where it identifies flood risks in urban areas across 150 countries and shares alerts with emergency response agencies.

One emergency response official in Southern Africa said the system helped them respond faster to flood events during trials. There are still some limits:

  • Predictions cover areas of about 20 km²

  • Not as precise as systems like the U.S. National Weather Service, which use local radar data

  • Designed mainly for regions without advanced weather infrastructure

But the project was designed specifically for countries without advanced weather monitoring systems, where traditional forecasting tools are unavailable.

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