Our stance

AI Ethics & Responsible Use at Kriv AI.

We would rather walk away from a project than deploy AI we can't stand behind.

We work in healthcare, life sciences, and other regulated environments where AI can help, but can also cause harm if misused or poorly governed. Our ethical stance guides what we design, which projects we accept, and how we work with your teams from day one.

Talk to Us About Responsible AI See Security, Privacy & Compliance

This page describes our ethical approach. It is not legal advice and does not replace your organization's own ethics, compliance, or regulatory frameworks.

Why AI Ethics Matters for Our Work

Most of our work touches sensitive processes, sensitive data, or both. That means ethics isn't a branding exercise for us, it's a set of constraints and habits that shape how we design, build, and deploy AI and automation.

High-Stakes Contexts

We operate in domains, like healthcare and regulated industries, where mistakes, bias, and opacity can have real consequences for people, not just KPIs.

Powerful, General-Purpose Models

Modern models are flexible and strong. Without clear boundaries, they can be repurposed or misapplied in ways no one intended.

Trust is a Hard Requirement

If your clinicians, operators, compliance teams, and customers don't trust the systems we help build, they won't be used, or worse, they'll be used reluctantly and unsafely.

Our Core Ethical Principles

These principles guide every engagement and design decision we make.

Human-Centric Outcomes

We aim for AI systems that support human judgment, not replace it, especially in sensitive decisions. Where appropriate, we prefer human-in-the-loop or human-on-the-loop designs.

Do No Intentional Harm

We decline work that is clearly designed to cause harm, exploit people, or deliberately mislead stakeholders.

Clarity Over Hype

We avoid overselling what AI can do. We prefer honest expectations, documented limitations, and clear communication over 'magic'.

Fairness & Respect

We pay attention to how systems might treat different groups of people, especially in healthcare and access-related workflows, and we flag foreseeable issues early.

Transparency & Accountability

We favor architectures and processes that allow someone to answer: what did the system do, using what information, and who is responsible for its behavior?

Governance-by-Design

We treat governance as a design input. We align with your policies, oversight structures, and risk appetite.

We'd rather say "this is not a good idea" than silently implement something that conflicts with these principles.

What We Will Not Build

These are categories of work that we decline, even if technically interesting or financially attractive. Clear boundaries make it easier for everyone to move quickly on what is acceptable.

Systems whose primary purpose is deception or fraud.

AI explicitly designed to exploit vulnerable people or manipulate them unfairly.

Projects that disregard basic obligations around sensitive data (e.g., PHI/PII) or that knowingly bypass agreed safeguards.

Use cases intended to enable unlawful discrimination or denial of essential opportunities or services.

Deployments where high-stakes decisions are fully automated without any realistic path for oversight, review, or appeal.

'Black box' systems in sensitive domains where there is no plan for monitoring, logging, or human accountability.

If you're unsure about a use case, we're happy to discuss it openly

How This Shows Up in Real Projects

Ethics is less about a poster on a wall and more about how decisions are made in these moments.

Readiness & Governance Assessments

We surface ethical, governance, and risk questions early, alongside data readiness and technical feasibility.

AI Readiness & Governance Assessment

Design Reviews with Stakeholders

We encourage design reviews that include not just engineering, but also compliance, operations, and when relevant, clinical or domain experts.

Guardrails in Architectures

We favor patterns that make it easier to monitor, override, or narrow system behavior rather than letting it run unchecked.

Documentation of Limits & Assumptions

We document intended use, known limitations, and assumptions so they aren't forgotten as systems evolve.

Working With Your Ethics & Compliance Structures

We see ethics as a collaboration. We don't replace your committees or policies; we support them by making AI systems easier to understand, evaluate, and adjust.

What We Bring

•Practical patterns for governed AI and automation.
•Experience translating technical details into language non-technical stakeholders can work with.
•A clear stance on what we're not comfortable building.

What You Bring

•Your organizational values and ethics frameworks.
•Your legal, compliance, and risk interpretations.
•Oversight bodies (e.g., ethics committees, IRBs, governance councils).

See Security, Privacy & Compliance For Compliance & Risk Teams

Questions We Ask Before and During Projects

These questions aren't obstacles; they're how we keep projects safe, sustainable, and defensible.

Who could be negatively affected if this system behaves as designed?

What happens if it fails or produces low-quality output? Who will notice, and how fast?

Is there a realistic way for a human to override, review, or appeal important outputs?

Are we introducing new kinds of bias or unfair treatment?

Could this system be repurposed for something riskier than we're designing for now?

What data is truly necessary for this use case, and what can be minimized?

If an auditor or ethics committee reviewed this a year from now, what would we want to show them?

Common questions

AI ethics FAQs.

Is this page a formal policy or legal document?

No. It expresses how we think about ethical AI and the kinds of projects we pursue. Your own organizational policies and legal frameworks remain the governing authority.

Will you say no to a project if it conflicts with these principles?

Yes. Part of our commitment is being willing to walk away from work that doesn't align with our stance, even if it's technically feasible.

Can you adapt to our internal ethics guidelines?

Yes. We expect that many organizations have their own ethics guidelines, review boards, or committees. We're comfortable working within those structures.

Does this mean you only work in healthcare?

No, but our experience is strongest in healthcare, life sciences, and regulated mid-market environments where these issues are very visible.

What if we're not sure a use case is appropriate?

We'd rather talk through it. We can help you map the use case, surface concerns, and suggest safer patterns or alternatives.

Do you provide training or materials on ethical AI?

We can share guidance and frameworks as part of readiness, governance, or design work, and point your teams to accessible resources.

What happens if our leadership wants something you're uncomfortable with?

We will explain our concerns and, if necessary, clearly decline to participate in that specific project.

How does this connect to security and compliance?

Ethics, security, and compliance overlap heavily in regulated environments. Our ethics stance informs how we think about risk, governance, and responsible deployment, but does not replace formal security or legal review.

Start here

Want AI that reflects your values, not just your tech stack?

If you're exploring AI or agentic automation and want it to align with your organization's ethics and obligations, we'll involve your leadership, compliance, and domain experts from the start.

Or write to us first

+1-732-433-5564 · info@kriv.ai · East Brunswick, NJ

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