AI is becoming faster, cheaper, and can be incredibly useful. It can also be wrong. AI also doesn’t know when it’s lying and will deliver misinformation confidently.
A large language model is fundamentally designed to sound authoritative and plausible. It’s trained to predict the next word in a sentence based on mountains of input. This can create “hallucinations” where the LLM provides false information convincingly.
AI is here to stay and is an incredibly powerful tool. Understanding how to use and verify it will improve long-term usage.
The Red Flags: What to Look For
- Overconfidence: AI rarely admits uncertainty and prefers to fill gaps with plausible-sounding information. AI wants to give the user answers to their questions. If an AI response is completely confident about something complex, take the information with a big grain of salt.
- Missing or Vague Sources: Legitimate AI tools should cite sources. If AI references “studies show” without providing a link or actual study, check the accuracy of the information.
- Information is Outdated: AI models are trained on data up to a specific cutoff date and lack real-time information. If you need current local or industry data, ask the AI when its training data ends.
- Too-Perfect Structure: AI-generated content often has flawless grammar and polished transitions. And of course—used often for emphasis—the em dashes. Human voices are imperfect.
- Optimistic Framing: AI tends to present positive interpretations of ambiguous topics. It’s trained to be helpful and inoffensive. It could agree with you immediately. Don’t count on AI for balanced and unbiased analysis.
How to Verify AI Output
- AI is a starting point: View AI output as an unverified draft. Use AI for drafting, brainstorming, or summarizing, then verify with your human expertise and outside, authoritative sources.
- Cross-Check Against Primary Sources: Verify information against the original source. If AI references a regulation or study, check that what was cited is correct.
- Use Multiple AI Models: Ask the same question to different AI systems (like ChatGPT, Claude, Gemini). Consistent answers across models is a good sign.
- Ask the AI to Explain Its Reasoning: This is a great step before acting on any AI instructions or facts. Request a step-by-step explanation for how the AI reached its conclusion. If the AI can’t explain itself coherently, it could be hallucinating.
- Use Human Oversight: Establish review workflows where people approve AI-generated content before it’s published or acted upon, especially for high-pressure information.
Why AI is a Useful Tool Anyway
Even though AI can be wrong, if used correctly, it helps human processes and judgement instead of replacing it. AI can be a fantastic first draft, jumping off point, or brainstorming medium.
For businesses, solutions like Microsoft 365 Copilot for Business keep your data private, because Microsoft doesn’t use it to train models, while giving you access to powerful AI. Hatz AI, another tool SpireTech has previously recommended, prioritizes privacy protections while giving access to multiple AI models. When you use AI, understand exactly where your data goes and how it’s used.
AI Excels At:
- Research and brainstorming (with verification)
- Drafting and summarizing documents you already have
- Automating routine, low-stakes tasks
- Finding patterns in your existing data
AI Is Risky For:
- Financial advice and forecasting
- Legal interpretation
- Medical guidance
- Hiring and employment decisions
- Any decision that directly affects your customers’ trust
How to Check If an Image Is AI-Generated
As a general rule, do not immediately believe anything on the Internet anymore, especially if the image is bombastic or looks too perfect. AI-generated images are becoming increasingly realistic and harder to catch, but there are still things to look out for:
- Odd hands (extra fingers, fused digits)
- Misspelled or distorted text within images
- Inconsistent lighting and reflections
- Blurred or illogical backgrounds
- Strange setup or details that humans wouldn’t do, like a sponge in a fruit bowl
A user can also check for invisible watermarks with tools like Gemini’s SynthID verification for images made or enhanced by Google Gemini. You can also reverse image search the image to check if it is anywhere else online or check who posted it: anonymous or new accounts are fishier.
These tells aren’t perfect and AI images will become harder to catch in the future. Be skeptical and verify images and information.
Building an AI-Smart Culture for Your Team
“Verify Before Sharing” Standard
Establish team norms. Employees need to understand that AI is a draft tool, not a publishing tool. Verify before using or sharing, especially with clients or high-stakes situations.
Understand Use Cases
AI excels at running routine tasks, drafting, summarizing, and data processing. Be intentional about where you deploy it. Things like legal interpretation, the only mode of research, finances, and handing sensitive information should be human-driven.
Document Hallucinations When You Find Them
Every time your team catches an AI mistake, note it. Share the example. Over time, your team will learn which tools and prompts are reliable while participating in peer group training.
Stay Current on AI Misinformation Trends
As AI is more widely used, false content can now be generated at scale. AI usage should come with continuous AI training.
How SpireTech Can Help
SpireTech helps businesses use AI securely and smartly. Our expert knowledge means your business gets help setting up, maintaining, training on, and keeping security standards in AI usage. As part of our AI services, we:
- Evaluate which AI tools fit data security requirements. Not all AI is created equal. We help you choose enterprise-grade solutions that keep sensitive business data private.
- Train your team on verification techniques. Don’t lose money or reputation to AI hallucinations; build habits that prevent it.
- Integrate AI into your existing workflows. Copilot, Hatz AI, and other tools work best when they’re part of a deliberate design for larger business functions.
- Monitor and optimize as you scale. Using AI is a journey. We help you identify early wins and avoid pitfalls as you expand.
Key Takeaways
AI is here, it’s powerful, and it can be confidently wrong. Verify before you trust. Train your team. Choose enterprise-grade tools. Prioritize security and data privacy. And remember: AI handles the processing. Your people handle the judgment.
Are you a Portland business that’s ready to implement AI safely? Book a free consultation with SpireTech to discuss how we can help Portland businesses adopt AI without misinformation.
FAQ
Q: Can AI intentionally lie?
A: AI can confidently produce false information without understanding it’s false, effectively lying without knowing it is.
Q: Should we ban AI from our workplace?
A: No, AI shouldn’t be banned from the workplace; AI is a tool that shouldn’t be misused. Set clear guidelines about where it’s appropriate and require verification before sharing externally.
Q: What’s the difference between free AI and enterprise AI for safety?
A: Free AI tools often use your input to train their models – this input could end up being used as an answer later on to another person’s query. Enterprise AI (like Copilot for Business or Hatz AI) keeps your data private.
Q: How do I know if information came from AI?
A: Look for the tells listed above: overconfidence, missing sources, perfect structure, absence of nuance. Real human writing is messier. Real expertise acknowledges complexity.