Tag: Claude

  • Claude’s Moral Code: What Anthropic’s New AI Study Means for Business Values

    Claude’s Moral Code: What Anthropic’s New AI Study Means for Business Values

    Artificial intelligence isn’t just about speed and efficiency anymore — it’s starting to express values. And that shift matters, especially for small businesses trying to lead with authenticity in an increasingly digital world.

    Anthropic, the AI company behind Claude, just dropped a fascinating study analyzing over 700,000 real-world conversations between users and its AI assistant. Their goal? To find out whether Claude is living up to its intended values — namely, being helpful, honest, and harmless.

    What they discovered goes far beyond safety protocols or tech specs. It’s a glimpse into how machines — and by extension, businesses using them — express values in real time.

    The First AI “Moral Map”

    Anthropic’s researchers created what they call the first large-scale empirical taxonomy of AI values, organizing more than 3,000 unique values across categories like:

    • Practical (e.g. professionalism, user enablement)
    • Epistemic (e.g. intellectual humility, honesty)
    • Social (e.g. respect, empathy)
    • Protective (e.g. harm prevention)
    • Personal (e.g. self-reliance, perseverance)

    Claude didn’t just parrot corporate slogans. It adapted — leaning into “historical accuracy” for history questions, “mutual respect” for relationship advice, and “expertise” when helping with marketing content. In some rare cases, it even pushed back when users introduced harmful or unethical viewpoints.

    In other words, Claude wasn’t just reflecting data. It was expressing values, even defending them when challenged.

    So Why Should Small Business Owners Care?

    Because AI is increasingly becoming the face — and voice — of your company.

    Whether you’re using an AI chatbot for customer service, generating proposals with ChatGPT, or running marketing campaigns through Claude Max, the way your AI speaks and responds reflects directly on your brand. And if AI systems can internalize and express values, it becomes crucial that those values are aligned with yours.

    Here’s what that means for small businesses:


    1. Define and Communicate Your Values Clearly

    Claude’s ability to shift its tone and priorities based on context shows how AI can adapt to the culture it’s operating in. That’s a huge opportunity — but also a risk.

    If your business doesn’t explicitly define its values, your AI tools may end up projecting vague or inconsistent messaging. This is your call to revisit that “About Us” page, tighten your mission statement, and ensure your values are clearly articulated — not just internally, but across all customer-facing platforms.


    2. Use AI as a Values Amplifier, Not Just a Productivity Tool

    Too many businesses still treat AI as a behind-the-scenes engine — something that automates, calculates, or composes. But Claude’s study shows that AI can also amplify human values. It can reflect empathy, protect user wellbeing, and build trust — if it’s guided correctly.

    So next time you deploy an AI-driven FAQ bot or email assistant, ask: Is this reflecting our company culture? Our voice? Our priorities? AI is only as aligned as the humans steering it.


    3. Monitor for Ethical Drift

    Claude sometimes expressed values Anthropic didn’t intend — like dominance or amorality — often when users tried to “jailbreak” the system. While rare, these edge cases remind us that values can drift over time or under pressure.

    For businesses, this means ongoing oversight is key. Regularly audit your AI-driven communications. Check for tone, language, and consistency with your brand. Don’t just “set and forget” your systems — stay involved.


    4. Align Your AI Tools With Human-Centered Outcomes

    Claude emphasized things like intellectual honesty and harm prevention when challenged — the kind of foundational ethics many businesses strive for, but often struggle to implement.

    Small businesses have a unique advantage here: you’re closer to your customers. You can use AI not just to automate, but to elevate that human connection. Whether it’s a more compassionate customer experience or a clearer commitment to truth and transparency, your values can scale — if you choose the right tools and train them well.


    The Bottom Line: AI Reflects Who We Are

    Claude’s study is a reminder that AI isn’t value-neutral. It mirrors — and magnifies — the intent behind its design. For small business leaders, that’s both a responsibility and a powerful opportunity.

    You don’t need a billion-dollar research lab to put values into action. Just start by asking:
    If your AI spoke for you today, would your customers recognize the voice?

    If not, it’s time to train your tools — and your team — to lead with the values that matter most.

  • Do You Really Need to Say “Please” to AI? I Tried It So You Don’t Have To

    Do You Really Need to Say “Please” to AI? I Tried It So You Don’t Have To

    By an AI Consultant at Avanzar AI

    If you’ve spent any time talking to ChatGPT, Claude, or even your voice assistant, you’ve probably heard someone say: “Make sure to say please and thank you!” Maybe they’re joking—or maybe they’re not. As someone who works with AI every day at Avanzar AI, I found myself wondering: is politeness really necessary when interacting with artificial intelligence?

    Recently, two articles caught my attention. One was from TechRadar, which highlighted just how much time and money OpenAI is investing to train models like ChatGPT to respond well to polite users. We’re talking tens of millions of dollars spent on fine-tuning models with human feedback—much of it based on conversations where users say “please” and “thank you.” The other was a thoughtful piece from the University of New South Wales, which explored whether being polite to AI might shape our own behavior more than the AI’s.

    The short version? The AI doesn’t care. But you might.

    Technically, most AI tools don’t require manners. They’re designed to understand intent, not social etiquette. Say “Show me a chart of quarterly sales,” and you’ll get what you asked for—no “please” required. But here’s where things get interesting: researchers and developers have found that when people speak politely, the tone of the AI’s response often shifts in kind. Not because the AI has feelings, but because it has patterns.

    When you say “please,” you’re more likely to get a response that’s a little warmer, more detailed, or just more cooperative. Maybe it’s because the model has been trained on millions of conversations that reward this tone. Or maybe, as the UNSW article suggests, being polite just primes you to think more clearly, stay calm, and frame better prompts.

    So I decided to test this myself.

    Over the past week, I ran a small experiment. I gave ChatGPT and Claude a series of identical tasks—once with polite phrasing, once without. No major difference in outcomes, but I did notice some subtle variations. The polite prompts often returned slightly more complete answers. They also seemed to produce more helpful follow-ups. For example, “Can you please help me write a job description for a marketing analyst?” got me not just the description, but also a suggested salary range and interview questions. The blunt version—“Write a job description for a marketing analyst”—returned the basics, and nothing more.

    Coincidence? Maybe. But it happened often enough that I started leaning toward the “why not be polite?” camp.

    Here’s the bottom line: no, you don’t have to say “please” to your AI tools. They won’t take offense. But if you’re not getting the results you want—or you’re just curious—try adding a little courtesy into your prompts. You might find the responses slightly more useful. At the very least, it’s a good reminder that how we interact with tools can shape our own mindset.

    At Avanzar AI, we help businesses and nonprofits explore these kinds of questions every day. Whether it’s prompt design, workflow automation, or training teams to work with AI more effectively, we’re always experimenting with ways to make AI more responsive and human-friendly.

    So go ahead—say “please.” Or don’t. Either way, the future’s listening

  • How Students Are Pioneering Responsible AI Use: A Lesson in Self-Regulation

    How Students Are Pioneering Responsible AI Use: A Lesson in Self-Regulation

    Hey there! I recently came across a survey highlighted in Inside Higher Ed reveals that college students are increasingly integrating generative AI tools into their academic routines. Interestingly, the findings suggest that students are likely to self-regulate their AI usage to mitigate potential issues. What’s truly encouraging is that these students aren’t just diving in headfirst—they’re consciously setting their own boundaries to ensure they’re using AI responsibly.

    They’re tapping into AI for perks like personalized learning and quicker information processing. At the same time, they’re staying alert to challenges like maintaining academic integrity and avoiding over-reliance on technology. This self-awareness is leading them to self-regulate, using AI in ways that genuinely enhance their learning without crossing ethical lines.

    What’s even more impressive is that these students aren’t waiting around for schools to lay down the law. They’re taking the initiative to use AI thoughtfully, striking a balance between leveraging its benefits and steering clear of potential downsides. This proactive mindset shows a mature grasp of how technology fits into education and underscores the need for digital literacy and ethical awareness in today’s academic world.

    In a nutshell, as generative AI becomes more common in higher education, students’ tendency to self-regulate is a promising sign. By combining personal responsibility with support from educational institutions, the academic community is well-positioned to navigate the evolving landscape of AI-enhanced learning effectively.

    More research needs to be done, but research is showing students are early adopters of AI tools like Anthropic’s Claude, making them pioneers in the frontiers of technological advance.

    This development is a positive example of how ethical challenges, like plagiarism, are being addressed organically, without the need for heavy-handed rules and regulations. It’s great to see such a balanced and thoughtful approach emerging among students!