A place for businesses and experts to exchange experience
Ethical AI Macedonia is an initiative founded by Vladimir Boshnjakovski and Angela Angjelovska to bring businesses and experts together around the practical questions of responsible AI use. Our ambition is to build a useful forum where people can discuss their experience, examine difficulties and contribute to guidance that reflects the circumstances in which organizations actually work. The Principles for Responsible AI provide our starting point, while the knowledge gathered through those exchanges should inform their subsequent development.
We approach this work with enthusiasm for the technology and a realistic understanding of our own role. AI can help businesses organize information, reduce repetitive work, improve services and explore opportunities that would otherwise require resources beyond their reach. Understanding how to achieve those benefits responsibly requires contributions from several fields. Technical practitioners understand capabilities and implementation; businesses understand their workflows and commercial realities; lawyers examine rights and responsibilities; researchers contribute methods for evaluating what happens in practice. We want to create opportunities for those perspectives to meet.
Connecting technological possibilities with organizational decisions
Many questions about responsible AI arise at the point where a technological capability becomes part of an ordinary business process. A system may be capable of drafting a document, evaluating information or recommending a course of action. The organization still needs to decide what information it should receive, who will check the result, how mistakes will be identified and who remains accountable for the work. These decisions require an understanding of both the tool and the context in which it operates.
Our legal and organizational experience gives us one perspective on those questions. We want to develop that perspective through sustained contact with people who build and use AI, including those who encounter problems that a general framework might overlook. A small professional firm, a software company and a healthcare provider may share concerns about reliability and confidentiality, yet need quite different ways of addressing them. Their experience can help us identify where common principles are useful and where more specific guidance is necessary.
Why confidence in responsible use matters
Uncertainty can affect adoption in different ways. Some conscientious professionals hesitate because they cannot see how to use AI without compromising their responsibilities. Others experiment readily but may overlook risks associated with the information they provide, the outputs they accept or the changes they introduce into their teams. Both groups need a clearer basis for deciding what is appropriate.
The consequences extend beyond an individual application. A harmful use can damage a business’s reputation and weaken confidence among its clients. Repeated failures can also affect attitudes towards the technology more broadly, encouraging resistance or demands for responses that do not distinguish carefully between different risks. Better understanding and proportionate safeguards can help businesses protect the confidence on which continued adoption depends.
An initiative that develops through participation
Vladimir and Angela will coordinate an informal network, with working groups bringing people together around particular research questions or practical challenges. We intend to organize discussions, gather business experience and publish material that helps make the issues more concrete. Our capacity should develop through this work, including our ability to support organizations in adapting responsible AI principles to their own circumstances.
We expect our understanding to change as participants contribute new evidence and perspectives. The usefulness of Ethical AI Macedonia will depend on whether it helps people recognize difficulties earlier, learn from each other and make better decisions. That is the institution we want to build: one whose contribution grows through the quality of its discussions and the practical experience behind its work.