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32px,1160px)}#ipage .isec{padding:67px 0}#ipage h1{font-size:clamp(45px,14vw,66px)}#ipage .ilead{font-size:17px}#ipage .iobject{padding-left:16px}#ipage .four,#ipage .decision{grid-template-columns:1fr}#ipage .four article,#ipage .four.dark article{border-left:0!important;border-top:1px solid var(--line)}#ipage .four article:first-child{border-top:0}#ipage .decision article+article{border-left:0;border-top:1px solid #426172}#ipage .notes{columns:1}}\n<\/style>\n<main id=\"ipage\">\n  <section class=\"ihero\"><div class=\"iw\"><div class=\"icrumb\"><a href=\"\/en\/technology\/\">Technology<\/a> \/ <span>Artificial intelligence<\/span><\/div><div class=\"iheroGrid\"><div><span class=\"ik\">Artificial intelligence \u00b7 one of five concerns<\/span><h1>AI is a change to work before it is a change to software.<\/h1><p class=\"ilead\">Artificial intelligence can infer, draft, classify or recommend. The difficult question is what people do with that output, under which conditions, and who remains responsible when it is wrong.<\/p><\/div><figure class=\"iobject\" aria-label=\"The four P route for Artificial intelligence\"><div class=\"iobjectHead\"><span>The same decision, four questions<\/span><span>Perspective \u2192 Practice<\/span><\/div><div class=\"iobjectCard\"><strong>A tool drafting a customer reply<\/strong><p>The model can produce words quickly. The organisation still has to define review, escalation, records and the cost of error.<\/p><\/div><div class=\"ipath\"><div>01<br>Perspective<\/div><div>02<br>Performance<\/div><div>03<br>Precision<\/div><div>04<br>Practice<\/div><\/div><\/figure><\/div><\/div><\/section>\n  <section class=\"isec white\"><div class=\"iw two\"><div><span class=\"ik\">01 \u00b7 Perspective<\/span><h2>Perspective starts with the task and its consequence.<\/h2><\/div><div><p>Ask what the person is trying to accomplish, what information they need, and what could happen when the system is wrong. Automation is one option among process change, training, better information or no change.<\/p><p class=\"hook\">What must remain a human responsibility because the consequence is too important to outsource?<\/p><\/div><\/div><\/section>\n  <section class=\"isec mist\"><div class=\"iw\"><span class=\"ik\">02 \u00b7 Performance<\/span><h2>Performance is more than model output.<\/h2><p>A useful AI-enabled workflow considers quality, review effort, repeat work, incidents, user understanding and the experience of people affected by the decision.<\/p><div class=\"four\"><article><small>Signal<\/small><h3>Output<\/h3><p>Is the result fit for the task and its context?<\/p><\/article><article><small>Work<\/small><h3>Review<\/h3><p>Can the responsible person check it with enough time, information and authority?<\/p><\/article><article><small>Consequence<\/small><h3>Impact<\/h3><p>What happens to customers, staff, data and decisions when it fails?<\/p><\/article><article><small>Question<\/small><h3>Ask<\/h3><p>Where is the error detected and who can stop the route?<\/p><\/article><\/div><\/div><\/section>\n  <section class=\"isec blue\"><div class=\"iw\"><span class=\"ik\">03 \u00b7 Precision<\/span><h2>Precision defines the safe use case.<\/h2><p>Name the task, inputs, prohibited uses, review conditions, record, incident route and change owner. Confidence language alone does not create oversight.<\/p><div class=\"decision\"><article><small>Define before selecting<\/small><h3>Define the use<\/h3><p>What may the system do, for whom, and with which information?<\/p><\/article><article><small>Accept before scaling<\/small><h3>Define the stop<\/h3><p>Which signal, error or new condition requires a person to pause or change the system?<\/p><\/article><\/div><\/div><\/section>\n  <section class=\"isec close\"><div class=\"iw\"><span class=\"ik\">04 \u00b7 Practice<\/span><h2>AI becomes practice when responsibility stays visible after deployment.<\/h2><p>Competence, monitoring, incident response and change control keep the tool inside the organisation\u2019s policy and the task owner\u2019s real authority.<\/p><a href=\"\/en\/practice\/\">Continue to Practice \u2192<\/a><\/div><\/section>\n  <section class=\"isec sources\"><div class=\"iw\"><div class=\"sourceIntro\"><div><span class=\"ik\">Sources and notes<\/span><h2>Read the basis, then test it in context.<\/h2><\/div><p>The sources below are primary management and regulatory references. Applicability depends on system, role, sector and jurisdiction; they do not make one universal AI workflow.<\/p><\/div><ol class=\"notes\"><li><a href=\"https:\/\/www.iso.org\/standard\/42001\" target=\"_blank\" rel=\"noopener\">ISO\/IEC 42001:2023<\/a> \u2014 AI is managed through policies, objectives and processes.<\/li><li><a href=\"https:\/\/airc.nist.gov\/airmf-resources\/playbook\/govern\/\" target=\"_blank\" rel=\"noopener\">NIST AI RMF \u00b7 Govern<\/a> \u2014 roles, responsibilities and communication should be clear.<\/li><li><a href=\"https:\/\/eur-lex.europa.eu\/eli\/reg\/2024\/1689\/oj\/eng\" target=\"_blank\" rel=\"noopener\">EU AI Act<\/a> \u2014 AI literacy and deployer duties depend on system and role.<\/li><\/ol><\/div><\/section>\n<\/main>",
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