I dag kan beslutninger træffes automatisk af systemer, der anvender maskinlæring til hele tiden at blive bedre. Men disse systemer anses stadig for at mangle det "menneskelige perspektiv" og den fleksibilitet, der skal til for at tage hensyn til særlige nuancer i specifikke situationer. Til gengæld er forudindtagethed ikke noget, som automatiserede systemer er i stand til at skjule, og derfor kan de måske træffe mere retfærdige beslutninger end mennesker, hvis altså disse beslutninger er baseret på ordentlige data.

Kan maskiner træffe mere retfærdige beslutninger? - Dansk

Dnes už existují systémy, které umí pomocí strojového učení přijímat automatizovaná rozhodnutí a dynamicky zlepšovat vlastní výsledky. Odborníci se stále domnívají, že jim chybí lidský náhled a dostatečná flexibilita, aby dokázaly zohlednit jemné rozdíly jednotlivých případů. Nejsou ale zas tak chytré, aby dokázaly skrýt různé zkreslené výsledky. A právě proto by mohly dělat spravedlivější rozhodnutí než lidé. Musí k tomu ale mít pečlivě vybraná data.

Jak mohou stroje dělat spravedlivější rozhodnutí? - čeština

Markkinoilla on järjestelmiä, jotka tekevät päätöksiä automaattisesti. Ne parantavat suorituskykyään dynaamisesti koneoppimisen avulla. Silti sanotaan, että niillä ei ole ”inhimillistä näkökulmaa” eivätkä ne pysty ottamaan huomioon yksittäistapausten erityispiirteitä. Ne eivät siis ole tarpeeksi ”ovelia” onnistuakseen peittämään vinoumiaan. Kenties juuri siksi ne voivat tosiasiassa tehdä oikeudenmukaisempia päätöksiä kuin ihmiset, kunhan päätökset perustuvat asianmukaisesti järjestettyyn tietoon.

Voisivatko koneet tehdä oikeudenmukaisempia päätöksiä kuin ihmiset? - suomi

La prise de décision automatisée réalisée par les systèmes d’apprentissage automatique pour améliorer de manière dynamique les performances manquent de «perspective humaine» et de flexibilité pour s’adapter aux spécificités des cas particuliers. Mais comme les systèmes automatisés sont incapables de «ruser» pour dissimuler leur biais, ils se révèlent peut-être plus justes dans leurs décisions que les humains lorsque ces décisions se fondent sur des données qui ont été correctement compilées.

Comment les machines peuvent-elles prendre des décisions plus justes ? - français

Masinad ei oska veel teha otsuseid inimliku perspektiivitunde ja paindlikkusega. Samuti ei oska nad võtta arvesse juhtumite konkreetseid nüansse. Kuna masinatel puudub aga kalduvus eelarvamustele, suudavad need tegelikult teha õiglasemaid otsuseid kui inimesed, tingimusel et otsuste tegemiseks on olemas vajalikud neutraalsed algandmed.

Kuidas panna masinad tegema õiglasemaid otsuseid? - eesti keel

Danes lahko sistemi, ki se s strojnim učenjem nenehno izboljšujejo, odločitve sprejemajo samodejno. Še vedno pa prevladuje mnenje, da tovrstni tehnologiji manjka človeški vidik in da ni dovolj prilagodljiva, da bi lahko zaznala vse posebnosti posameznih primerov. Po drugi strani pa avtomatizirani sistemi niso pristranski, zato lahko morda sprejemajo pravičnejše odločitve kot ljudje, če te odločitve temeljijo na ustreznih podatkih.

Ali lahko stroji sprejemajo pravičnejše odločitve? – slovenščina

Het Europees Parlement en de verkozen parlementsleden zijn de stem van de burgers in de Europese Unie. Daarom willen wij het Parlement voor iedereen begrijpelijk maken. Nieuws in het kort biedt een snel overzicht van de belangrijkste onderwerpen van de dag, in alle officiële EU-talen. Deze uitzending wordt u gebracht door het Europees Parlement. Hier kan u nog meer programma’s van ons vinden:

Nieuws in het kort – 2022-06-27 – Nederlands

Seguimos desconfiando de las decisiones que toman los sistemas informáticos que utilizan el aprendizaje automático para mejorar dinámicamente su rendimiento, porque consideramos que carecen de la «perspectiva humana» y de la flexibilidad necesarias para tomar en consideración los matices propios de cada caso concreto. Por otra parte, al no tener malicia, los sistemas automatizados no ocultan sus sesgos. Por este motivo, quizás tomen decisiones más justas que las personas, siempre y cuando se basen en datos equilibrados.

¿Cómo conseguir que las máquinas tomen decisiones más justas? - Español

Все още се смята, че при автоматизираните решения на системите, използващи машинно самообучение, липсва „човешката перспектива“ и гъвкавост за адаптиране към конкретните нюанси и случаи. Но може би тъкмо липсата на хитроумие за прикриване на пристрастията дава възможност автоматизираните системи да вземат по-справедливи решения от хората, когато се основават на правилно обработени данни.

Могат ли машините да вземат по-справедливи решения от човека?

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The European Union's enlargement policy is based on established criteria and fair and rigorous conditionality. 

Progress along the European path is an objective and merit-based process which depends on the concrete results achieved by each individual country, with the rule of law, justice and fundamental rights being an utmost priority. A credible enlargement perspective requires sustained efforts and irreversible reforms. The EU Enlargement is an investment in peace, security and stability in Europe: a prospect of EU membership has a powerful transformative effect on the partners in the process, embedding positive democratic, political, economic and societal change.

Albania, the Republic of North Macedonia, Montenegro, Serbia and Turkey are candidate countries.The European Council has decided to grant the status of candidate country to Ukraine and to the Republic of Moldova in June 2022.

Negotiations are held with each candidate country to determine their ability to apply EU legislation (acquis) and examine their possible request for transition periods.

Enlargement

During the&nbsp;meeting on 23-24 June 2022, the European Council discussed&nbsp;the wider Europe, Ukraine, EU membership applications from Ukraine, the Republic of Moldova and Georgia, economic issues, the Conference on the Future of Europe and external relations.

The European Council recognised&nbsp;the European perspective of Ukraine, the Republic of Moldova and Georgia. The future of these countries and their citizens lies within the European Union.&nbsp;The European Council has decided to grant the status of candidate country to Ukraine and to the Republic of Moldova. &nbsp;he Commission is invited to report to the Council on the fulfilment of the conditions specified in the Commission’s opinions on the respective membership applications as part of its regular enlargement package. The Council will decide on further steps once all these conditions are fully met. &nbsp;The European Council is ready to grant the status of candidate country to Georgia once the priorities specified in the Commission’s opinion on Georgia’s membership application have been addressed.

European Council, 23-24 June 2022

MEPs elected Roberta Metsola (EPP, MT) on January 2022 as President of the European Parliament until 2024.

Roberta Metsola won the election in the first voting round, where she received an absolute majority of 458 votes out of 690 cast in the remote secret vote, among three candidates.&nbsp;

President Metsola is leading the Parliament in the second half of the current legislative term, until a new Parliament is constituted following the 2024 European Elections.

Born in Malta in 1979, Roberta Metsola who has been an MEP since 2013, is the youngest EP President ever elected. She became First Vice-President in November 2020, and was Parliament’s acting President after President Sassoli passed away on 11 January.

She is the third female President of the European Parliament, after Simone Veil (1979-1982) and Nicole Fontaine (1999- 2002).

Roberta Metsola, President of the European Parliament

Have a look at the latest stockshots of 2021 and 2022 with illustrative pre-edited broadcast quality video footage. These editable stockshots are clean (raw), with natural sound (no voice-over), produced to illustrate priority EU dossiers and parliamentary work. They are intended to help audiovisual media produce their own programs, for example, editing of news reports or documentaries.

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Roberta METSOLA, EP President, participates at the meeting of the European Council in Brussels (23/06). Extracts from her doorsteps and her press conference.

Meeting of the European Council: extracts from the arrival of Roberta METSOLA, EP president, doorstep and the press conference

EU leaders meet in Brussels on 23 and 24 June for the European Council meeting. Roberta METSOLA, EP President, arrives at the European Council (23/06) and gives doorsteps to journalists before joining the meeting. She talks about the candidate status of Ukraine, the Republic of Moldova and Georgia.

European Council meeting: arrival and doorstep by Roberta METSOLA, EP President

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Press conference by Roberta METSOLA, EP President following her participation to the European Council - Questions and answers

Roberta METSOLA, EP President, holds a press conference after exchanging views with heads of state during the European Council meeting.

Press conference by Roberta METSOLA, EP President following her participation to the European Council

European Council meeting (23/06): arrival and doorstep by Roberta METSOLA, EP President

Renew europe leaders meet before the meeting of the European Council, at Bozar, in Brussels.

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Meeting of the European Council: extracts from the arrival of Roberta METSOLA, EP president, doorstep and the press conference

European Council meeting: arrival and doorstep by Roberta METSOLA, EP President

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Press conference by Roberta METSOLA, EP President following her participation to the European Council

European Council meeting (23/06): arrival and doorstep by Roberta METSOLA, EP President

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Kan maskiner træffe mere retfærdige beslutninger? - Dansk

Jak mohou stroje dělat spravedlivější rozhodnutí? - čeština

Voisivatko koneet tehdä oikeudenmukaisempia päätöksiä kuin ihmiset? - suomi

Comment les machines peuvent-elles prendre des décisions plus justes ? - français

Kuidas panna masinad tegema õiglasemaid otsuseid? - eesti keel

Ali lahko stroji sprejemajo pravičnejše odločitve? – slovenščina

Nieuws in het kort – 2022-06-27 – Nederlands

¿Cómo conseguir que las máquinas tomen decisiones más justas? - Español

Могат ли машините да вземат по-справедливи решения от човека?