{
  "version": "https://jsonfeed.org/version/1",
  "title": "AI on TG D",
  "icon": "https://www.gravatar.com/avatar/8b7c246eda70ada8d8443068e63b8820?s=96&d=https%3A%2F%2Fmicro.blog%2Fimages%2Fblank_avatar.png",
  "home_page_url": "https://blog.techgov.digital/",
  "feed_url": "https://blog.techgov.digital/feed.json",
  "items": [
      {
        "id": "http://techgov.micro.blog/2026/03/30/from-influenced-choices-to-outsourced.html",
        "title": "From Influenced Choices to Outsourced Thinking",
        "content_html": "<p>Two complementary arguments. One from <a href=\"https://www.diplomacy.edu/blog/the-war-were-not-watching-the-fight-for-the-future-of-human-knowledge/\">Jovan Kurbalija</a>, about how social media algorithms already shape what individuals see and how we decide. And how AI pushes digital agency further, from influenced choices to outsourced thinking. The challenge is to reclaim control over knowledge itself: how it is produced, filtered, and governed.</p>\n<p>Second, <a href=\"https://howardyu.substack.com/p/how-organizations-lose-their-minds\">Howard You</a> shows a similar erosion within organisations. Their agency weakens because they optimise for stability over awareness, losing their ability to adapt and respond, until they eventually “lose their minds.”</p>\n",
        "date_published": "2026-03-30T06:48:42+10:00",
        "url": "https://blog.techgov.digital/2026/03/30/from-influenced-choices-to-outsourced.html",
        "tags": ["AI"]
      },
      {
        "id": "http://techgov.micro.blog/2026/03/27/ai-governance-maturity-vs-power.html",
        "title": "AI Governance Maturity vs Power Distribution",
        "content_html": "<p>A side-by-side comparison of Internet governance and AI governance, highlighting their stages of evolution and underlying power dynamics. It draws on the history of Internet governance to surface patterns, tensions, and lessons that are increasingly relevant as AI systems scale globally.</p>\n<a href=\"https://www.aroundthetable.social/ai-governance-is-not-starting-from-zero-lessons-from-the-internet/\" target=\"_blank\" rel=\"noopener noreferrer\">\n  <img src=\"https://cdn.uploads.micro.blog/300978/2026/cb742411b0.jpg\" width=\"600\" height=\"330\" alt=\"Internet governance and AI governance comparison\">\n</a>\n",
        "date_published": "2026-03-27T21:15:08+10:00",
        "url": "https://blog.techgov.digital/2026/03/27/ai-governance-maturity-vs-power.html",
        "tags": ["AI"]
      },
      {
        "id": "http://techgov.micro.blog/2026/03/18/who-in-the-csuite-should.html",
        "title": "Who in the C-suite should own AI?",
        "content_html": "<p>&ldquo;We need a different approach. That approach should begin by shifting the question from &lsquo;who owns AI?&rsquo; to &lsquo;who owns which AI-related decisions?&rsquo; The first question frames the issue as zero sum and invites a land grab, but the second decomposes the problem into specific decisions and assigns each to the person best positioned to make it.&rdquo;</p>\n<p>&ldquo;To make the shift from ownership to decision rights, companies will need to put into place a decision and accountability map. This entails identifying critical choices and assigning each to a specific executive.&rdquo;</p>\n<p><a href=\"https://hbr.org/2026/03/who-in-the-c-suite-should-own-ai\">Toby E. Stuart, March 2026, HBR</a></p>\n",
        "date_published": "2026-03-18T08:40:59+10:00",
        "url": "https://blog.techgov.digital/2026/03/18/who-in-the-csuite-should.html",
        "tags": ["AI"]
      }
  ]
}