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Albania recently made history by appointing an “AI minister”. The move could redefine trust, power and accountability in government.<\/p>\n
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Albania introduced an AI system<\/a> last month to serve as a minister in the government, a first-of-its-kind development by a nation state. The news came as a shock, even to many who have been keen observers in the AI industry over the last three years. Albania, a Balkan nation of 2.8 million people, said the virtual figure Diella, an AI system that started the year aiding individuals with digital paperwork, would be promoted to a cabinet-level position to manage public procurement.<\/p>\n The government framed it as a software system that would score tenders only on merit, with no bribes, favors or fear. Depending on whom you ask, it\u2019s either a world first in anti-corruption or a risky experiment wrapped in political theater. Either way, it\u2019s real and live. <\/p>\n What Actually Changed And What Didn\u2019t<\/p>\n Diella is not a finance minister. It\u2019s a virtual \u201cminister\u201d focused on public procurement, the system that determines who wins government contracts. The role builds on Diella\u2019s earlier function as an e-government assistant<\/a>, now extended to decisions that have serious financial and political consequences.<\/p>\n Reuters, The Guardian and other media outlets reported that the AI will gradually take on responsibility for awarding tenders, with the aim of reducing human influence in a process often linked to favoritism.<\/p>\n What remains unclear, however, is how this will actually work. When a losing bidder challenges an award, who is accountable \u2014 the prime minister, a supervising human official, the vendor behind the model or no one at all? So far, the Albanian government hasn\u2019t fully explained how accountability will be handled. <\/p>\n It\u2019s also important to be clear about what Diella actually is and what it is not. While Albania\u2019s government may describe the AI system as fair and efficient, people still decide what data it uses and how it makes decisions. Because even though an AI system can\u2019t take a bribe, people can still influence its results. So, whether the system is trustworthy depends on how it is managed, not on the technology itself.<\/p>\n Why Public Procurement?<\/p>\n Public procurement is where government decisions directly meet spending. Globally, it involves trillions of dollars every year and often makes up a large share of national budgets. For countries trying to grow their economies, reduce waste and build trust with investors or regional partners, fixing how tenders are managed can deliver quick, visible results. That\u2019s why Diella\u2019s new role matters. It targets one of the few areas that can genuinely change how a government works.<\/p>\n As Tech Policy Press<\/a> put it, \u201cprocurement plays a powerful role in shaping critical decisions about AI. In the absence of federal regulation of AI vendors, procurement remains one of the few levers governments have to push for public values, such as safety, non-discrimination, privacy and accountability.\u201d<\/p>\n It\u2019s a point that applies everywhere. Whether in the U.S., Europe or Albania, governments that either buy, build or deploy AI systems carry the same duty to set clear standards and protect public interest.<\/p>\n Albania\u2019s timing wasn\u2019t accidental, as the country wants to join the European Union. The EU\u2019s AI Act<\/a> took effect for general-purpose AI models back in August, and new obligations are already starting to shape how European governments design and deploy AI systems, with more detailed requirements set to follow over the next two years.<\/p>\n Bringing Albania\u2019s procurement system closer to EU standards isn\u2019t just about internal reform \u2014 it\u2019s also a political message. And if Diella uses or connects with general-purpose AI models, it will have to meet the EU\u2019s expectations for transparency, documentation and safety, whether Albania is a member or not. <\/p>\n The Blind Spots<\/p>\n Two things can be true at once: Algorithmic procurement can reduce certain abuses, and it can also introduce new ones. The real danger isn\u2019t the algorithm itself, but the system surrounding it. If government staff or vendors can quietly adjust how bids are scored, or if the data used to train the AI already carries bias, the process won\u2019t be fairer \u2014 it will just hide the same old problems behind a digital curtain.<\/p>\n That\u2019s why the real focus should be on how the system is governed. There should be independent reviews, transparent records that can\u2019t be changed in secret, clear documentation of how the AI works, fair ways for bidders to challenge decisions and public reports on how the system performs. These are essential elements that enhance the trustworthiness of the process.<\/p>\n There\u2019s also a democratic angle that\u2019s easy to miss amid the hype. As Columbia University\u2019s Data Science Institute<\/a> warned in May, \u201cEnsuring that the design and use of these tools reflect citizens\u2019 values and the public interest is vital to preserving legitimacy and democratic accountability.\u201d Procurement decisions determine who builds roads, hospitals and schools. If citizens don\u2019t understand the rules or can\u2019t challenge outcomes, that erodes trust, even if the numbers on paper look better. <\/p>\n