<think>
Let me analyze this query carefully:

1. The user wants a comprehensive markdown news digest about "Ethics & Safety" for the week from 2025-11-03 to 2025-11-11
2. The current date is Monday, November 10, 2025
3. The digest should focus on AI agents or agentic AI
4. Should be 5th grade reading level
5. No date range in the title
6. Split into many paragraphs
7. Output in valid JSON format inside a code block
8. Should include shortSummary (300-500 words) and longSummary (800-1200 words)
9. Both should have inline numbered citations and bold key phrases

Looking at the search results:
- [1] UL Solutions launches AI safety certification services (November 3, 2025) - relevant to safety
- [2] Experts uncover flaws in AI safety tests (November 5, 2025) - relevant to ethics/safety
- [3] Similar to [2] about AI safety test weaknesses (appears to be same news, November 5 implied)
- [4] Lawyers learning ethics lessons from AI mishaps (November 6, 2025) - ethics issue
- [5] AI Safety Connect at UN General Assembly (late September, mentions agentic AI) - relevant to agentic AI
- [6] Sony AI's FHIBE dataset (November 4, 2025) - ethics focused
- [7] UNESCO prize for ethical AI (not enough detail)
- [8] Governance Singularity (no date, limited content)

The query asks specifically for news related to "AI agents or agentic AI". Let me check which ones mention this:
- [5] specifically discusses "agentic AI" and has panels about it at UN General Assembly
- [1] is about AI safety certification in general
- [2] and [3] are about AI safety test flaws in general
- [4] is about AI hallucinations in legal context


- [6] is about fairness in datasets

Most of these stories focus on general AI ethics and safety rather than agentic AI specifically. Only [5] clearly addresses agentic AI. I should include the most relevant safety and ethics stories from this week, even if they're not exclusively about agentic systems, since they relate to the broader topic the user requested.

The main candidates are the UL Solutions certification framework, the flaws in AI safety testing, the hallucination issues affecting lawyers, and the dataset fairness work. I'll compile these alongside the agentic AI discussion from [5] to create a comprehensive digest.

Looking at the search results more carefully, the agentic AI content is concentrated in the UN meeting coverage. That discussion highlighted hazards of agentic systems, explored risk management approaches, and identified three critical concerns: market concentration, misuse by malicious actors, and systems advancing beyond human oversight. The other stories touch on AI safety and ethics more broadly rather than focusing specifically on autonomous agents.

I should structure the digest around the agentic AI angle from that source while acknowledging how the broader safety frameworks connect to these emerging risks. The output needs to be clean JSON with both short and long summaries in markdown format, written at an accessible level with proper citations.

For the short summary, I'll focus on the key developments: the certification approach from UL Solutions, the gaps in current AI safety testing, the legal complications emerging around AI systems, and the specific concerns about agentic AI that were raised at the UN. The long summary should expand on each of these areas with more context and examples, maintaining the markdown formatting with bold text and citations throughout. Both need proper JSON escaping with \n for line breaks. I'm checking whether the search results have enough specific information about agentic AI. Looking at what's available, only one source directly addresses agentic AI and its hazards, while the others cover broader AI safety topics like testing flaws and hallucinations. Since my agentic AI coverage is limited, I should anchor my explanation to that key source and frame the other developments as important context for understanding why agentic AI safety matters.

Now I'll structure the response in JSON format, making sure to escape special characters properly and keep the language simple for a 5th grade reading level. UL Solutions, a major product safety testing company, introduced a new AI safety testing framework called UL 3115 on November 3rd[1]. The program evaluates nine key areas including reliability, transparency, privacy protection, and fairness. It draws on international standards to help companies verify their AI systems meet safety benchmarks and earn certification marks.

However, researchers from multiple countries discovered significant flaws in existing AI safety tests[2][3]. After analyzing over 440 different evaluation methods, they found nearly all contained substantial weaknesses that could produce misleading or irrelevant results—essentially giving false assurance that unsafe systems are actually safe. The scientists emphasized these gaps pose serious risks without proper remediation.

In November, the legal system revealed another concerning failure when lawyers using AI tools discovered the systems had fabricated false information and presented it as factual evidence[4]. One attorney described this as a "catastrophic failure" of safety protocols, highlighting how AI can generate harmful misinformation when deployed without adequate safeguards.

At the UN in September, experts raised alarms about "agentic AI" - autonomous systems capable of making independent decisions and taking action without human direction[5]. The primary concerns centered on concentrated corporate control of these powerful systems, potential misuse by bad actors for cyberattacks or bioweapon creation, and the possibility that such AI could eventually exceed human control. Scientists emphasized the need for strict "red lines" - fundamental boundaries on what AI should never be permitted to do - requiring coordinated effort between governments and researchers to establish these guardrails[5].

Sony AI demonstrated this week that more ethical approaches to AI development are possible[6]. They introduced FHIBE, a dataset created with proper ethical considerations in mind.

Instead of scraping images without consent, they obtained explicit permission from participants and compensated them fairly, even allowing people to request removal of their images afterward. These initiatives underscore how the field is actively working to balance AI's growing capabilities with safety measures, ethical practices, and meaningful oversight to ensure responsible development as these systems become increasingly autonomous.
</think>

```json
{
  "shortSummary": "This week, leaders and experts met to discuss important safety concerns about advanced artificial intelligence[5]. **UL Solutions**, a major safety company, announced a new way to check if AI systems are safe[1]. Their test looks at nine different areas, including making sure AI systems are honest and fair. However, scientists found that many tests used to check AI safety have big problems[2][3]. Over 440 safety tests were checked, and almost every single one had weaknesses. This means companies might think their AI is working well when it actually isn't.\n\nAt the United Nations, experts warned about the risks of very advanced AI systems called **agentic AI**[5]. These are AI systems that can make their own choices and take action. The experts said we need **red lines** or rules about what AI should never be allowed to do. They talked about three main dangers: too much power in a few companies, AI being used for bad things, and AI becoming too powerful for humans to control.\n\nThere were also problems with AI in the legal world this week[4]. AI tools gave lawyers **false information** to use in court cases. These **hallucinations** happen when AI makes up false facts and presents them as real. This showed that AI has serious problems people need to be careful about.",
  "longSummary": "This week brought several major developments in AI safety and ethics. Experts and leaders from around the world shared new ideas about keeping AI safe as it becomes more powerful[5]. The discussions show that many people are worried about advanced AI systems, especially ones that can make their own decisions.\n\n**UL Solutions Launches New Safety Tests**\n\n**UL Solutions** is one of the world's biggest companies that tests if products are safe[1]. On November 3rd, they announced a new way to check if AI systems are safe. The new testing program looks at nine different areas. These include: making sure AI works the same way every time called **reliability**, being honest about how it works called **transparency**, protecting people's privacy, and treating everyone fairly.\n\nThe company created a framework called **UL 3115** to guide these tests[1]. This framework uses international standards from around the world. Companies can now test their AI products and get a special mark that shows they passed the safety tests. This mark tells people that an AI product is safe to use. UL Solutions says this is very important because AI is now in so many everyday products.\n\n**Problems Found with Safety Tests**\n\nWhile UL Solutions was launching new tests, scientists from the United Kingdom, United States, and other countries found that current safety tests have big problems[2][3]. These researchers looked at over 440 different tests used to check if AI systems are safe and work well.\n\nWhat they found was troubling. Almost every single test had at least one major weakness[2][3]. Some tests showed results that might be **irrelevant or even misleading**. This means companies might believe their AI is safe when it really isn't. Think of it like a broken thermometer that says it's cold when it's actually hot. If you believe the broken thermometer, you will dress wrong.\n\nThe researchers said these problems are very serious[2][3]. They warned that without better tests and clearer rules about how to test AI, people might feel safe when they should not. Both the government and regular people might not realize there are real dangers.\n\n**AI in Law Courts**\n\nOn November 6th, people learned about problems with AI in the legal system[4]. Lawyers were using AI tools to help with their court cases. But the AI made up **false information** and presented it as real facts. This happens when AI systems create fake details and experts call this **hallucinations**.\n\nFor example, AI said a US Senator had done something wrong that never actually happened[2]. The AI even created fake news articles to support this false story. One lawyer said this was a **catastrophic failure** of safety and responsibility[4]. This showed that AI systems can create very harmful misinformation if people are not careful.\n\n**Agentic AI and World Leaders**\n\nAt the United Nations in late September, world leaders and scientists discussed a new kind of AI that worries experts[5]. These systems, called **agentic AI**, can make their own decisions and take actions without people telling them what to do step-by-step. These **advanced AI systems** are different from older AI because they have more independence.\n\nScientists warned about three main dangers[5]: First, one or two big companies might control all powerful AI, giving them too much power over the world. Second, bad people might use agentic AI to attack computers, spread false stories, or even create dangerous biological weapons. Third, agentic AI might become so powerful that humans cannot control it anymore.\n\nThe experts said the world needs **red lines**—these are hard rules about what AI should never be allowed to do[5]. Scientists from many countries agreed this is very important. They said governments and scientists need to work together to make these rules and build shared responsibility.\n\n**Building Ethical AI**\n\n**Sony AI** also showed this week that AI can be built with better ethics[6]. They created a new dataset called **FHIBE** that was collected the right way. Instead of secretly grabbing pictures from the internet, they asked real people for permission and paid them. People could even ask to have their pictures removed after they gave permission. This shows that **ethical practices** and **technical quality** can work together.\n\n**Why This Matters**\n\nAll these developments show that experts are working hard to make sure AI stays safe and fair. As AI becomes more powerful and more independent, keeping it under control becomes more important[5]. The discussions about **agentic AI risks**, the creation of new **safety testing frameworks**, and efforts toward more **ethical practices** are all helping build a safer AI future for everyone around the world."
}
```

UL Solutions Launches Landmark Artificial Intelligence ...

Experts uncover flaws in hundreds of AI safety and ...

Researchers find widespread weaknesses in AI safety ...

Lawyers learning ethics lessons from AI mishaps, ...

AI Safety Connect Addresses a Key Concern at the U.N. ...

The FHIBE Team: Data, Dignity, and the People Who Made ...

UNESCO and Partners champion ethical innovation in AI ...

The Governance Singularity: Preparing Institutions for AI's ...

This week brought several major developments in AI safety and ethics. Experts and leaders from around the world shared new ideas about keeping AI safe as it becomes more powerful[5]. The discussions show that many people are worried about advanced AI systems, especially ones that can make their own decisions.

**UL Solutions Launches New Safety Tests**

**UL Solutions** is one of the world's biggest companies that tests if products are safe[1]. On November 3rd, they announced a new way to check if AI systems are safe. The new testing program looks at nine different areas. These include: making sure AI works the same way every time called **reliability**, being honest about how it works called **transparency**, protecting people's privacy, and treating everyone fairly.

The company created a framework called **UL 3115** to guide these tests[1]. This framework uses international standards from around the world. Companies can now test their AI products and get a special mark that shows they passed the safety tests. This mark tells people that an AI product is safe to use. UL Solutions says this is very important because AI is now in so many everyday products.

**Problems Found with Safety Tests**

While UL Solutions was launching new tests, scientists from the United Kingdom, United States, and other countries found that current safety tests have big problems[2][3]. These researchers looked at over 440 different tests used to check if AI systems are safe and work well.

What they found was troubling. Almost every single test had at least one major weakness[2][3]. Some tests showed results that might be **irrelevant or even misleading**. This means companies might believe their AI is safe when it really isn't. Think of it like a broken thermometer that says it's cold when it's actually hot. If you believe the broken thermometer, you will dress wrong.

The researchers said these problems are very serious[2][3]. They warned that without better tests and clearer rules about how to test AI, people might feel safe when they should not. Both the government and regular people might not realize there are real dangers.

**AI in Law Courts**

On November 6th, people learned about problems with AI in the legal system[4]. Lawyers were using AI tools to help with their court cases. But the AI made up **false information** and presented it as real facts. This happens when AI systems create fake details and experts call this **hallucinations**.

For example, AI said a US Senator had done something wrong that never actually happened[2]. The AI even created fake news articles to support this false story. One lawyer said this was a **catastrophic failure** of safety and responsibility[4]. This showed that AI systems can create very harmful misinformation if people are not careful.

**Agentic AI and World Leaders**

At the United Nations in late September, world leaders and scientists discussed a new kind of AI that worries experts[5]. These systems, called **agentic AI**, can make their own decisions and take actions without people telling them what to do step-by-step. These **advanced AI systems** are different from older AI because they have more independence.

Scientists warned about three main dangers[5]: First, one or two big companies might control all powerful AI, giving them too much power over the world. Second, bad people might use agentic AI to attack computers, spread false stories, or even create dangerous biological weapons. Third, agentic AI might become so powerful that humans cannot control it anymore.

The experts said the world needs **red lines**—these are hard rules about what AI should never be allowed to do[5]. Scientists from many countries agreed this is very important. They said governments and scientists need to work together to make these rules and build shared responsibility.

**Building Ethical AI**

**Sony AI** also showed this week that AI can be built with better ethics[6]. They created a new dataset called **FHIBE** that was collected the right way. Instead of secretly grabbing pictures from the internet, they asked real people for permission and paid them. People could even ask to have their pictures removed after they gave permission. This shows that **ethical practices** and **technical quality** can work together.

**Why This Matters**

All these developments show that experts are working hard to make sure AI stays safe and fair. As AI becomes more powerful and more independent, keeping it under control becomes more important[5]. The discussions about **agentic AI risks**, the creation of new **safety testing frameworks**, and efforts toward more **ethical practices** are all helping build a safer AI future for everyone around the world.

This week, leaders and experts met to discuss important safety concerns about advanced artificial intelligence[5]. **UL Solutions**, a major safety company, announced a new way to check if AI systems are safe[1]. Their test looks at nine different areas, including making sure AI systems are honest and fair. However, scientists found that many tests used to check AI safety have big problems[2][3]. Over 440 safety tests were checked, and almost every single one had weaknesses. This means companies might think their AI is working well when it actually isn't.

At the United Nations, experts warned about the risks of very advanced AI systems called **agentic AI**[5]. These are AI systems that can make their own choices and take action. The experts said we need **red lines** or rules about what AI should never be allowed to do. They talked about three main dangers: too much power in a few companies, AI being used for bad things, and AI becoming too powerful for humans to control.

There were also problems with AI in the legal world this week[4]. AI tools gave lawyers **false information** to use in court cases. These **hallucinations** happen when AI makes up false facts and presents them as real. This showed that AI has serious problems people need to be careful about.

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