{"CACHEDAT":"2026-05-13 09:35:24","TRANSLATEDAT":"2026-05-13 09:35:24","SOURCESIGNATURE":"870824410e5d47f07c74761410638bd1dfca965fe0dd439c19b79b771c0f2725","SLUG":"glossary-ma8b2MAZra","MARKDOWN":"# Algorithms\n\nAn algorithm is a sequence of instructions, automatically executed by a computer (UNESCO, 2017). It input into output by performing calculations, sorting or classifying data, making decisions, or automating repetitive tasks. Algorithms range from very simple (e.g., a fixed rule for sorting a list) to highly complex (e.g., the recommendation system of a social media platform).\n\nAlgorithms are designed by humans (Council of Europe, 2020). Even in modern machine learning systems — where parts of the algorithm's behaviour are learned from data rather than written line by line — humans set the goals the system optimises for, select the training data, and decide how the system is deployed (Metzler & Garcia, 2024; Narayanan, 2023). The outputs of an algorithm therefore reflect the choices, assumptions, and values of those who build and deploy it; they are not neutral or objective.\n\nIn digital platforms, algorithms are typically combined into **algorithmic systems** — applications that, often using mathematical models, gather, combine, sort, classify, and infer data, and that select, prioritise, recommend, or make decisions on that basis (Council of Europe, 2020).\n\n\n:::info\n* UNESCO (2017). A lexicon for the digital age. UNESCO Courier, July–September 2017. \n* Committee of Ministers of the Council of Europe (2020). Recommendation CM/Rec(2020)1 on the human rights impacts of algorithmic systems, adopted 8 April 2020.\n* Metzler, H., & Garcia, D. (2024). Social drivers and algorithmic mechanisms on digital media. Perspectives on Psychological Science. \n* Narayanan, A. (2023). Understanding social media recommendation algorithms. Knight First Amendment Institute, Columbia University. \n\n:::","HTML":"

Algoritmi

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Algoritms ir instrukciju secība, ko automātiski izpilda dators (UNESCO, 2017). Tas pārvērš ieejas datus izvades datos, veicot aprēķinus, šķirojot vai klasificējot datus, pieņemot lēmumus vai automatizējot atkārtojošos uzdevumus. Algoritmi var būt ļoti vienkārši (piemēram, fiksēts noteikums saraksta šķirošanai) vai ļoti sarežģīti (piemēram, sociālo tīklu platformas ieteikumu sistēma).

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Algoritmus izstrādā cilvēki (Eiropas Padome, 2020). Pat mūsdienīgās mašīnmācīšanās sistēmās — kur daļa no algoritma darbības tiek apgūta no datiem, nevis rakstīta rinda pa rindai — cilvēki nosaka mērķus, kurus sistēma optimizē, izvēlas apmācības datus un lemj, kā sistēma tiek ieviesta (Metzler & Garcia, 2024; Narayanan, 2023). Tādējādi algoritma rezultāti atspoguļo to cilvēku izvēles, pieņēmumus un vērtības, kuri to izstrādā un ievieš; tie nav neitrāli vai objektīvi.

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Digitālajās platformās algoritmi parasti tiek apvienoti algoritmiskās sistēmās — lietojumprogrammās, kas, bieži izmantojot matemātiskos modeļus, vāc, apvieno, šķiro, klasificē un izdara secinājumus par datiem, kā arī uz šā pamata atlasa, prioritizē, iesaka vai pieņem lēmumus (Eiropas Padome, 2020).

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","UPDATEDAT":"2026-05-08T12:38:41.584Z","LANG":"lv","ID":"79384650-1b43-4959-b041-9f7ee6421ff5","TITLE":"Vārdnīca","SOURCELANG":"en"}