The Employee's Right to Say this AI isn't Working For Me.

Why trustworthy AI starts with employees who understand and challenge the systems they use.

You’re a journalist, a port operator, a healthcare professional. An AI system spits out a suggestion, a score, a summary. You pause. Can you trust it? More importantly: do you understand it? And what if you don’t agree with it, do you have the power to push back?

AI is becoming a fixture in more and more workplaces. But while we often talk about trusting AI, we rarely stop to ask what earning that trust should actually look like, especially from the perspective of the people using it every day. At THEMIS, we believe trust isn't built through glossy interfaces or complex algorithms. It's built when employees feel confident to say:

I understand this system. I know when to use it, when to question it, and how it aligns with what matters in my work.

This is what we call trust on your terms. And it starts with understanding AI—not as magic, but as a tool that can (and should) be evaluated by the people it’s meant to support.

Employees Are Already Using AI—But Are They Empowered?

AI use in the workplace isn’t always visible. Journalists are prompting ChatGPT to brainstorm headlines. Port workers are tweaking schedules based on predictive models. Doctors are comparing AI-assisted diagnoses with their own assessments. But much of this happens in isolation, without guidance or training, and sometimes even without transparency from the tools themselves.

The result? A risky imbalance. Employees are using powerful tools, but without the full understanding or language to assess them and be assured they are delivering trustworthy results. They may feel unequipped to challenge the AI’s output, or worse, pressured to defer to it without question.

That’s where THEMIS steps in. We don’t just ask “Can AI be trusted?, we help employees ask:

• Do I understand what this AI is doing?

• Does this align with my values?

• Can I rely on it when it matters?

  
  

What Trust Looks Like in Each Sector

Let’s be clear: AI trust isn’t one-size-fits-all. What feels trustworthy in one context may feel risky, or irrelevant, in another. That’s why THEMIS works within sector-specific realities, helping employees assess AI systems based on what they care about.

Media:

Journalists need to protect truth, credibility, and editorial independence. AI can support fact-checking or spot misinformation, but it must never blur the line between assistance and authorship. With THEMIS, media professionals gain tools to evaluate whether AI-generated content holds up to their standards of integrity.

AI flagged an inconsistency in my story. But I still make the final editorial call.

Ports:

Efficiency and safety go hand-in-hand in the port sector. AI might optimise logistics, but workers on the ground need to understand how decisions are made—especially when seconds count. THEMIS promotes structured communication between AI developers and staff, helping them ask: Is this system reliable? Transparent? Accountable?

The AI rerouted our cargo. I need to know why—before I green-light the change.

Healthcare:

AI is being used for diagnostics, image analysis, and even patient triage. But in healthcare, trust is deeply personal. Professionals need confidence that AI supports, not replaces, their clinical judgment. THEMIS equips them with a risk-based framework to understand AI’s limits, strengths, and when it’s safe to rely on it.

AI spotted something in the scan. I see it too—but I explain it to the patient.

The Right to Push Back on AI

One of the most empowering things THEMIS enables is this simple right: the right to say “no.”

Employees should feel confident to reject an AI suggestion. To flag bias. To question opaque logic. Not because they’re anti-technology, but because they care about doing their job well.

Trustworthy AI isn’t about blind faith. It’s about earned confidence, the kind that comes from transparency, understanding, and alignment with real-world needs.

Building Trust on Your Terms

Before relying on any AI system, ask yourself:

✅ Do I understand what this AI system is doing?

✅ Do I know where its data comes from?

✅ Is it clear how it reaches its recommendations?

✅ Does it support, not replace, my professional judgment?

✅ Can I explain its role to others—colleagues, clients, or patients?

✅ What happens if it’s wrong?

If you can answer these with confidence, you’re not just using AI, you’re owning your relationship with it.

At THEMIS, we believe in a future where employees across every sector can say:

This AI system works for me—because I understand it, I assess it, and I decide how it fits into my work.

That’s what trustworthy AI really looks like. Not just systems that deserve our trust, but workplaces where people are trusted to make the final call. Workplaces that leverage tools like THEMIS 5.0.