aiethos

AI Ethics Research & Advisory
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About aiethos

At aiethos, we fill a critical gap between the rapid development of AI technology and the ethical boundaries of its use. We don't write yet another set of automations or agents — we make sure they act for our good.

While the whole world talks about AI's potential, we focus on what truly matters: making sure your algorithm doesn't harm people. Literally and figuratively.

We see what others don't — yet: the necessity of AI ethics and the future of regulation.

From ethical risk audits and safeguard design to compliance readiness, we deliver practical solutions — combining expertise in ethics, law, and technology to protect what truly matters.

Founder Portrait
Our future does not depend on whether machines think. It depends on whether we keep thinking.

Tomasz Zgliczyński-Cuber

aiethos Founder

Our Credo

12 fundamental principles of ethical AI use according to aiethos.

1.Technology should serve humanity — not the other way around.

AI systems must be designed with human welfare as the primary objective. Technology should enhance human capabilities and improve quality of life, never replace human judgment in critical decisions or operate without meaningful human oversight.

2.Every intelligent system must protect human dignity, rights and safety.

AI applications must respect fundamental human rights, including privacy, equality, and autonomy. Systems should be designed to prevent harm and protect vulnerable populations from discrimination or exploitation.

3.Creating benefits must go hand in hand with preventing harm.

While AI can generate significant benefits, developers and users must actively identify and mitigate potential risks. Risk assessment and harm prevention should be integral parts of the development and deployment process.

4.Artificial intelligence systems should support people, not replace them.

AI should augment human capabilities rather than substitute human workers entirely. The goal is to create human-AI collaboration that leverages the strengths of both while maintaining human agency in decision-making.

5.Transparency in AI operation is a condition of its acceptance.

Users and affected parties should understand how AI systems make decisions that impact them. Organizations must provide clear information about AI use, its limitations, and the rationale behind AI-driven outcomes.

6.Solutions should be designed with everyone in mind — without exceptions or exclusions.

AI systems must be inclusive and accessible to all users, regardless of their background, abilities, or circumstances. Design processes should actively consider diverse perspectives and prevent algorithmic bias.

7.Data use must be based on informed, voluntary consent.

Personal data collection and processing for AI systems requires clear, understandable consent from individuals. People must understand what data is being used, how it's processed, and for what purposes.

8.We respect ethical boundaries, even when their violation is technically possible.

Technical capability does not justify ethical compromise. Organizations must establish and maintain ethical guidelines that prevent the misuse of AI, even when such misuse is technically feasible.

9.Ethics is never an add-on — it's built into the core of every solution.

Ethical considerations must be integrated into AI systems from the design phase, not retrofitted afterward. Ethics should guide every stage of development, deployment, and ongoing operation.

10.Responsibility for AI's effects begins at the design stage.

Accountability for AI outcomes starts with the initial design decisions and continues through deployment and use. Organizations must anticipate and prepare for the consequences of their AI systems.

11.AI creators and operators are responsible for AI actions — never the machine itself.

Human accountability cannot be delegated to machines. The people and organizations that create, deploy, and operate AI systems bear full responsibility for their actions and consequences.

12.Long-term AI development requires ethical vigilance.

Ethical AI development is an ongoing process that requires continuous monitoring, evaluation, and adaptation. Organizations must stay alert to emerging ethical challenges and evolving societal expectations.

Our Services

AI Ethics Audit

AI Ethics
Audit

Comprehensive assessment of AI use in your organization. We identify risks, opportunities and areas for improvement in ethical AI deployment.

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Training & Workshops

Training & Workshops

Practical workshops for teams on ethical AI use. Building competencies and awareness among employees about responsible AI practices.

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Ethics Code Development

Ethics Code Development

Development of dedicated AI ethics codes tailored to your industry specifics and organizational culture and values.

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AIETHOS Implementation

AIETHOS Implementation

Comprehensive implementation of the AIETHOS framework in your organization with full implementation support and guidance.

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Resources & Downloads

The AI Ethics Implementation Gap Cover

The AI Ethics Implementation Gap

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The AIETHOS Framework

The AIETHOS Framework

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