{"id":1691,"date":"2025-11-09T19:42:00","date_gmt":"2025-11-10T00:42:00","guid":{"rendered":"https:\/\/nmsconseil.com\/?p=1691"},"modified":"2025-11-17T09:30:06","modified_gmt":"2025-11-17T14:30:06","slug":"the-culture-of-control-in-the-age-of-the-algorithm","status":"publish","type":"post","link":"https:\/\/agile-intelligence.ca\/?p=1691","title":{"rendered":"The Culture of Control in the Age of the Algorithm"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">For more than a century, modern organizations have been built around a single ideal: <em>master what you don\u2019t yet understand.<\/em>\u00a0This reflex, inherited from Taylorism, has taken many forms \u2014 procedures, audits, dashboards \u2014 until it became a culture of control. Now, artificial intelligence, supposedly the next evolution of that mastery, exposes its fragility.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">AI, by its very nature, defies the logic of cause and effect. Its models are statistical, opaque, often unpredictable. And yet, we continue to treat it as a classic management tool: a means to optimize, standardize, and measure everything. Here lies the first paradox: by seeking to strengthen control through algorithms, we sometimes lose sight of what control truly means.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The\u00a02025 AI-Ready Governance Report\u00a0by OneTrust notes that 92% of large organizations plan to increase their AI governance budgets over the next two years. Their top priority:\u00a0\u201crisk reduction.\u201d\u00a0But that word,\u00a0<em>risk<\/em>, often hides a fear of ambiguity. We want our automated systems to be framed, auditable, documented \u2014 in short, reassuring. Yet, as the\u00a0ITU\u2019s Annual AI Governance Report 2025\u00a0reminds us, algorithmic governance cannot be reduced to compliance. It requires\u00a0\u201ca capacity for cultural adaptation.\u201d\u00a0In other words, we must learn to live with a degree of uncertainty.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For decades, companies have believed that a good dashboard could pilot complexity. But in the age of AI, data is fluid: it is interpreted, reshaped, retrained. What was once a reliable indicator can now amplify invisible bias. A study published in\u00a0<em>Technological Forecasting &amp; Social Change<\/em>\u00a0describes how AI systems\u00a0\u201clearn\u201d\u00a0our power dynamics and blind spots \u2014 and then reproduce them at scale. Control, in this context, becomes circular: we monitor models that mirror us.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This phenomenon is already visible in organizations. In some public institutions, AI projects are stalled not because of technology, but because no one knows\u00a0<em>who controls what<\/em>. Managers fear losing their grip on automated decisions, while analysts resist carrying sole responsibility for systems they only partially understand. The result is a form of\u00a0\u201ccontactless control\u201d: everything is measured, yet no one feels truly accountable.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Consulting firms are sounding the alarm. The\u00a0PwC Responsible AI Survey (2025)\u00a0reveals that 78% of executives see responsible AI governance as a strategic priority, but fewer than a third say they are capable of implementing it effectively. The gap between ethical charters and daily practice is widening.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In the private sector, the temptation is strong to use AI as a lever for constant optimization: productivity, screen time, individual performance. But this obsession with quantified control often produces the opposite effect. As\u00a0KPMG\u00a0points out in its\u00a0<em>Trust, Attitudes and Use of Artificial Intelligence<\/em>\u00a0study, trust cannot be decreed through algorithmic precision. It must be built through transparency, understanding, and human accountability.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">An article from\u00a0<em>Corporate Compliance Insights<\/em>\u00a0sums up the dilemma in one line:\u00a0\u201cAI audits numbers, not ethics. Humans must govern.\u201d In other words, the culture of control cannot be delegated to machines. It must evolve into a culture of discernment.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This doesn\u2019t mean abandoning rigor \u2014 it means shifting the center of gravity. Moving from compliance control to\u00a0meaning<strong> <\/strong>control. Asking not only\u00a0\u201cis it accurate?\u201d\u00a0but\u00a0\u201cis it right?\u201d. This is a quiet but essential transition: the future of algorithmic governance will depend less on the quality of audits than on the ethical maturity of organizations.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Leaders who understand this now speak of\u00a0\u201coperational trust\u201d\u00a0\u2014 the confidence that allows us to delegate without disengaging, to rely on AI while maintaining control over purpose. It rests on three pillars: transparency (explaining how and why a model acts), proportionality (not automating simply because we can), and reflexivity (being willing to question the outputs).<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In a world where algorithms claim to help us decide better, the real question becomes: will we still know how to doubt? Because freedom, in business as elsewhere, is not measured by what we control \u2014 but by what we understand.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a><\/a>References<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">OneTrust,&nbsp;<em>2025 AI-Ready Governance Report<\/em>.&nbsp;<a href=\"https:\/\/www.onetrust.com\/resources\/2025-ai-ready-governance-report\/\">https:\/\/www.onetrust.com\/resources\/2025-ai-ready-governance-report\/<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">ITU,&nbsp;<em>Annual AI Governance Report 2025 \u2013 Steering the Future of AI<\/em>.<a href=\"https:\/\/www.itu.int\/epublications\/en\/publication\/the-annual-ai-governance-report-2025-steering-the-future-of-ai\/en\">https:\/\/www.itu.int\/epublications\/en\/publication\/the-annual-ai-governance-report-2025-steering-the-future-of-ai\/en<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Technological Forecasting &amp; Social Change,&nbsp;\u201cResponsible artificial intelligence governance: A review\u201d, 2024.<a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0963868724000672\">https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0963868724000672<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">PwC,&nbsp;<em>Responsible AI Survey 2025<\/em>.&nbsp;<a href=\"https:\/\/www.pwc.com\/us\/en\/tech-effect\/ai-analytics\/responsible-ai-survey.html\">https:\/\/www.pwc.com\/us\/en\/tech-effect\/ai-analytics\/responsible-ai-survey.html<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">KPMG,&nbsp;<em>Trust, Attitudes and Use of Artificial Intelligence: A Global Study<\/em>, 2024.<a href=\"https:\/\/kpmg.com\/xx\/en\/our-insights\/ai-and-technology\/trust-attitudes-and-use-of-ai.html\">https:\/\/kpmg.com\/xx\/en\/our-insights\/ai-and-technology\/trust-attitudes-and-use-of-ai.html<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Corporate Compliance Insights,&nbsp;\u201cAI Audits Numbers, Not Ethics: Why Humans Must Govern\u201d, 2025.&nbsp;<a href=\"https:\/\/www.corporatecomplianceinsights.com\/ai-audits-numbers-not-ethics-humans-must-govern\/\">https:\/\/www.corporatecomplianceinsights.com\/ai-audits-numbers-not-ethics-humans-must-govern\/<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>For more than a century, modern organizations have been built around a single ideal: master what you&#8230;<\/p>\n","protected":false},"author":1,"featured_media":1695,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_kad_post_transparent":"","_kad_post_title":"","_kad_post_layout":"","_kad_post_sidebar_id":"","_kad_post_content_style":"","_kad_post_vertical_padding":"","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"footnotes":""},"categories":[4],"tags":[],"class_list":["post-1691","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.3 - 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