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into `gcp_editorrevisions` (`RevisionText`, `RevisionType`, `RevisionFile`, `ProjectID`, `PlanningID`, `RevisionStatus`, `RevisionDate`, `updated_at`, `created_at`) values ('<p>Another one for my byline. The AI Journal (<a href=\\\"http:\/\/aijourn.com\/\\\"><strong>aijourn.com<\/strong><\/a>) has accepted my pitch as a free, non-promotional thought leadership piece.<\/p><p>&nbsp;<\/p><p>Working title: AI is now everyone\\'s first background check, and it can be wrong<br>Length: 1,200 to 1,500 words (their limit is 800 to 2,000)<br>Deadline: within 5 working days please<\/p><p>&nbsp;<\/p><p>The idea: when AI assistants like ChatGPT, Gemini and Perplexity describe a real person, they often present guesses as facts. They merge two people with the same name, attach an old allegation without its outcome, or invent a role or relationship. The person usually finds out when a banker, investor or journalist repeats it back to them, and correcting it is slow because there\\'s rarely one source to fix.<\/p><p>&nbsp;<\/p><p>Open with the background check: banks, investors, employers and journalists now ask AI about someone before they meet them, so the AI\\'s answer is the first impression.<\/p><p>&nbsp;<\/p><p>I promised the editor three things, so please cover all of them:<br>1. How these errors arise<br>2. What individuals and businesses can do about them today (correcting source material, publishing accurate information about themselves, using the providers\\' feedback and correction routes, and making sure their own name, domain and profiles are claimed so accurate sources exist)<br>3. What responsible AI providers should do differently<\/p><p>&nbsp;<\/p><p>Their rules (they\\'re strict about these):<br>- Vendor-neutral and non-promotional. Pavesen must not appear in the article at all; my name goes in the byline only.<br>- Paragraphs of no more than 4 sentences<br>- Clear subheadings<br>- Reference links within the text. Link to reputable primary sources only.<\/p><p>&nbsp;<\/p><p>Example sources (please read each before citing):<br>- BBC and Apple Intelligence (Dec 2024 to Jan 2025): Apple\\'s AI notification summaries sent iPhone users a false BBC-branded alert claiming Luigi Mangione had shot himself, among other false claims about named people. Apple paused the feature after the BBC complained. Please link to the BBC\\'s own report; this is a summary of the story:<br><a href=\\\"https:\/\/www.mediaite.com\/media\/news\/apple-suspends-ai-news-alerts-after-false-bbc-story-claimed-luigi-mangione-shot-himself\\\"><strong>https:\/\/www.mediaite.com\/media\/news\/apple-suspends-ai-news-alerts-after-false-bbc-story-claimed-luigi-mangione-shot-himself<\/strong><\/a><br>- ICO (the UK data regulator) on the accuracy of generative AI: if inaccurate training data leads to inaccurate outputs that affect individuals, developers and deployers are likely breaching the accuracy principle. Good for point 3:<br><a href=\\\"https:\/\/ico.org.uk\/about-the-ico\/what-we-do\/our-work-on-artificial-intelligence\/response-to-the-consultation-series-on-generative-ai\/accuracy-of-training-data-and-model-outputs\/\\\"><strong>https:\/\/ico.org.uk\/about-the-ico\/what-we-do\/our-work-on-artificial-intelligence\/response-to-the-consultation-series-on-generative-ai\/accuracy-of-training-data-and-model-outputs\/<\/strong><\/a><br>- Martin Lewis deepfake (2023): an AI-generated video of Martin Lewis was used to promote an investment scam. He said it was an attempt to \\\"pervert and destroy my reputation\\\":<br><a href=\\\"https:\/\/www.infosecurity-magazine.com\/news\/martin-lewis-deepfake-investment\/\\\"><strong>https:\/\/www.infosecurity-magazine.com\/news\/martin-lewis-deepfake-investment\/<\/strong><\/a><br>- noyb complaint (March 2025): ChatGPT falsely described a Norwegian man, Arve Hjalmar Holmen, as having murdered two of his children. noyb filed a GDPR complaint, and OpenAI said it could block the output but not correct the underlying data:<br><a href=\\\"https:\/\/noyb.eu\/en\/ai-hallucinations-chatgpt-created-fake-child-murderer\\\"><strong>https:\/\/noyb.eu\/en\/ai-hallucinations-chatgpt-created-fake-child-murderer<\/strong><\/a><br>- Munich Regional Court (June 2026): a temporary injunction against Google after its AI Overviews wrongly linked two Munich publishers to scams. The court treated the AI summaries as Google\\'s own statements:<br><a href=\\\"https:\/\/thenextweb.com\/news\/google-ai-overviews-german-court-liable\\\"><strong>https:\/\/thenextweb.com\/news\/google-ai-overviews-german-court-liable<\/strong><\/a><br>- The right to have inaccurate personal data corrected (Article 16 GDPR, which is the same under UK GDPR):<br><a href=\\\"https:\/\/gdpr-info.eu\/art-16-gdpr\/\\\"><strong>https:\/\/gdpr-info.eu\/art-16-gdpr\/<\/strong><\/a><br>Don\\'t add anything you can\\'t source.<\/p><p>&nbsp;<\/p><p>Voice: mine, practical and calm, first person where natural (\\\"in my work...\\\"). No client names or identifiable cases, and no invented statistics.<\/p>', 'Client', '', '24004', '', 'Pending QA', '2026-10-05 16:22:24', '2026-10-05 16:22:24', '2026-10-05 16:22:24')","type":"query","params":[],"bindings":["&lt;p&gt;Another one for my byline. The AI Journal (&lt;a href=&quot;http:\/\/aijourn.com\/&quot;&gt;&lt;strong&gt;aijourn.com&lt;\/strong&gt;&lt;\/a&gt;) has accepted my pitch as a free, non-promotional thought leadership piece.&lt;\/p&gt;&lt;p&gt;&nbsp;&lt;\/p&gt;&lt;p&gt;Working title: AI is now everyone&#039;s first background check, and it can be wrong&lt;br&gt;Length: 1,200 to 1,500 words (their limit is 800 to 2,000)&lt;br&gt;Deadline: within 5 working days please&lt;\/p&gt;&lt;p&gt;&nbsp;&lt;\/p&gt;&lt;p&gt;The idea: when AI assistants like ChatGPT, Gemini and Perplexity describe a real person, they often present guesses as facts. They merge two people with the same name, attach an old allegation without its outcome, or invent a role or relationship. The person usually finds out when a banker, investor or journalist repeats it back to them, and correcting it is slow because there&#039;s rarely one source to fix.&lt;\/p&gt;&lt;p&gt;&nbsp;&lt;\/p&gt;&lt;p&gt;Open with the background check: banks, investors, employers and journalists now ask AI about someone before they meet them, so the AI&#039;s answer is the first impression.&lt;\/p&gt;&lt;p&gt;&nbsp;&lt;\/p&gt;&lt;p&gt;I promised the editor three things, so please cover all of them:&lt;br&gt;1. How these errors arise&lt;br&gt;2. What individuals and businesses can do about them today (correcting source material, publishing accurate information about themselves, using the providers&#039; feedback and correction routes, and making sure their own name, domain and profiles are claimed so accurate sources exist)&lt;br&gt;3. What responsible AI providers should do differently&lt;\/p&gt;&lt;p&gt;&nbsp;&lt;\/p&gt;&lt;p&gt;Their rules (they&#039;re strict about these):&lt;br&gt;- Vendor-neutral and non-promotional. Pavesen must not appear in the article at all; my name goes in the byline only.&lt;br&gt;- Paragraphs of no more than 4 sentences&lt;br&gt;- Clear subheadings&lt;br&gt;- Reference links within the text. Link to reputable primary sources only.&lt;\/p&gt;&lt;p&gt;&nbsp;&lt;\/p&gt;&lt;p&gt;Example sources (please read each before citing):&lt;br&gt;- BBC and Apple Intelligence (Dec 2024 to Jan 2025): Apple&#039;s AI notification summaries sent iPhone users a false BBC-branded alert claiming Luigi Mangione had shot himself, among other false claims about named people. Apple paused the feature after the BBC complained. Please link to the BBC&#039;s own report; this is a summary of the story:&lt;br&gt;&lt;a href=&quot;https:\/\/www.mediaite.com\/media\/news\/apple-suspends-ai-news-alerts-after-false-bbc-story-claimed-luigi-mangione-shot-himself&quot;&gt;&lt;strong&gt;https:\/\/www.mediaite.com\/media\/news\/apple-suspends-ai-news-alerts-after-false-bbc-story-claimed-luigi-mangione-shot-himself&lt;\/strong&gt;&lt;\/a&gt;&lt;br&gt;- ICO (the UK data regulator) on the accuracy of generative AI: if inaccurate training data leads to inaccurate outputs that affect individuals, developers and deployers are likely breaching the accuracy principle. Good for point 3:&lt;br&gt;&lt;a href=&quot;https:\/\/ico.org.uk\/about-the-ico\/what-we-do\/our-work-on-artificial-intelligence\/response-to-the-consultation-series-on-generative-ai\/accuracy-of-training-data-and-model-outputs\/&quot;&gt;&lt;strong&gt;https:\/\/ico.org.uk\/about-the-ico\/what-we-do\/our-work-on-artificial-intelligence\/response-to-the-consultation-series-on-generative-ai\/accuracy-of-training-data-and-model-outputs\/&lt;\/strong&gt;&lt;\/a&gt;&lt;br&gt;- Martin Lewis deepfake (2023): an AI-generated video of Martin Lewis was used to promote an investment scam. He said it was an attempt to &quot;pervert and destroy my reputation&quot;:&lt;br&gt;&lt;a href=&quot;https:\/\/www.infosecurity-magazine.com\/news\/martin-lewis-deepfake-investment\/&quot;&gt;&lt;strong&gt;https:\/\/www.infosecurity-magazine.com\/news\/martin-lewis-deepfake-investment\/&lt;\/strong&gt;&lt;\/a&gt;&lt;br&gt;- noyb complaint (March 2025): ChatGPT falsely described a Norwegian man, Arve Hjalmar Holmen, as having murdered two of his children. noyb filed a GDPR complaint, and OpenAI said it could block the output but not correct the underlying data:&lt;br&gt;&lt;a href=&quot;https:\/\/noyb.eu\/en\/ai-hallucinations-chatgpt-created-fake-child-murderer&quot;&gt;&lt;strong&gt;https:\/\/noyb.eu\/en\/ai-hallucinations-chatgpt-created-fake-child-murderer&lt;\/strong&gt;&lt;\/a&gt;&lt;br&gt;- Munich Regional Court (June 2026): a temporary injunction against Google after its AI Overviews wrongly linked two Munich publishers to scams. The court treated the AI summaries as Google&#039;s own statements:&lt;br&gt;&lt;a href=&quot;https:\/\/thenextweb.com\/news\/google-ai-overviews-german-court-liable&quot;&gt;&lt;strong&gt;https:\/\/thenextweb.com\/news\/google-ai-overviews-german-court-liable&lt;\/strong&gt;&lt;\/a&gt;&lt;br&gt;- The right to have inaccurate personal data corrected (Article 16 GDPR, which is the same under UK GDPR):&lt;br&gt;&lt;a href=&quot;https:\/\/gdpr-info.eu\/art-16-gdpr\/&quot;&gt;&lt;strong&gt;https:\/\/gdpr-info.eu\/art-16-gdpr\/&lt;\/strong&gt;&lt;\/a&gt;&lt;br&gt;Don&#039;t add anything you can&#039;t source.&lt;\/p&gt;&lt;p&gt;&nbsp;&lt;\/p&gt;&lt;p&gt;Voice: mine, practical and calm, first person where natural (&quot;in my work...&quot;). 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class=sf-dump-key>project_id<\/span>\" => \"<span class=sf-dump-str title=\"5 characters\">24004<\/span>\"\n  \"<span class=sf-dump-key>note<\/span>\" => \"<span class=sf-dump-str title=\"4697 characters\">&lt;p&gt;Another one for my byline. The AI Journal (&lt;a href=&quot;http:\/\/aijourn.com\/&quot;&gt;&lt;strong&gt;aijourn.com&lt;\/strong&gt;&lt;\/a&gt;) has accepted my pitch as a free, non-promotional thought leadership piece.&lt;\/p&gt;&lt;p&gt;&amp;nbsp;&lt;\/p&gt;&lt;p&gt;Working title: AI is now everyone&#039;s first background check, and it can be wrong&lt;br&gt;Length: 1,200 to 1,500 words (their limit is 800 to 2,000)&lt;br&gt;Deadline: within 5 working days please&lt;\/p&gt;&lt;p&gt;&amp;nbsp;&lt;\/p&gt;&lt;p&gt;The idea: when AI assistants like ChatGPT, Gemini and Perplexity describe a real person, they often present guesses as facts. They merge two people with the same name, attach an old allegation without its outcome, or invent a role or relationship. The person usually finds out when a banker, investor or journalist repeats it back to them, and correcting it is slow because there&#039;s rarely one source to fix.&lt;\/p&gt;&lt;p&gt;&amp;nbsp;&lt;\/p&gt;&lt;p&gt;Open with the background check: banks, investors, employers and journalists now ask AI about someone before they meet them, so the AI&#039;s answer is the first impression.&lt;\/p&gt;&lt;p&gt;&amp;nbsp;&lt;\/p&gt;&lt;p&gt;I promised the editor three things, so please cover all of them:&lt;br&gt;1. How these errors arise&lt;br&gt;2. What individuals and businesses can do about them today (correcting source material, publishing accurate information about themselves, using the providers&#039; feedback and correction routes, and making sure their own name, domain and profiles are claimed so accurate sources exist)&lt;br&gt;3. What responsible AI providers should do differently&lt;\/p&gt;&lt;p&gt;&amp;nbsp;&lt;\/p&gt;&lt;p&gt;Their rules (they&#039;re strict about these):&lt;br&gt;- Vendor-neutral and non-promotional. Pavesen must not appear in the article at all; my name goes in the byline only.&lt;br&gt;- Paragraphs of no more than 4 sentences&lt;br&gt;- Clear subheadings&lt;br&gt;- Reference links within the text. Link to reputable primary sources only.&lt;\/p&gt;&lt;p&gt;&amp;nbsp;&lt;\/p&gt;&lt;p&gt;Example sources (please read each before citing):&lt;br&gt;- BBC and Apple Intelligence (Dec 2024 to Jan 2025): Apple&#039;s AI notification summaries sent iPhone users a false BBC-branded alert claiming Luigi Mangione had shot himself, among other false claims about named people. Apple paused the feature after the BBC complained. Please link to the BBC&#039;s own report; this is a summary of the story:&lt;br&gt;&lt;a href=&quot;https:\/\/www.mediaite.com\/media\/news\/apple-suspends-ai-news-alerts-after-false-bbc-story-claimed-luigi-mangione-shot-himself&quot;&gt;&lt;strong&gt;https:\/\/www.mediaite.com\/media\/news\/apple-suspends-ai-news-alerts-after-false-bbc-story-claimed-luigi-mangione-shot-himself&lt;\/strong&gt;&lt;\/a&gt;&lt;br&gt;- ICO (the UK data regulator) on the accuracy of generative AI: if inaccurate training data leads to inaccurate outputs that affect individuals, developers and deployers are likely breaching the accuracy principle. Good for point 3:&lt;br&gt;&lt;a href=&quot;https:\/\/ico.org.uk\/about-the-ico\/what-we-do\/our-work-on-artificial-intelligence\/response-to-the-consultation-series-on-generative-ai\/accuracy-of-training-data-and-model-outputs\/&quot;&gt;&lt;strong&gt;https:\/\/ico.org.uk\/about-the-ico\/what-we-do\/our-work-on-artificial-intelligence\/response-to-the-consultation-series-on-generative-ai\/accuracy-of-training-data-and-model-outputs\/&lt;\/strong&gt;&lt;\/a&gt;&lt;br&gt;- Martin Lewis deepfake (2023): an AI-generated video of Martin Lewis was used to promote an investment scam. He said it was an attempt to &quot;pervert and destroy my reputation&quot;:&lt;br&gt;&lt;a href=&quot;https:\/\/www.infosecurity-magazine.com\/news\/martin-lewis-deepfake-investment\/&quot;&gt;&lt;strong&gt;https:\/\/www.infosecurity-magazine.com\/news\/martin-lewis-deepfake-investment\/&lt;\/strong&gt;&lt;\/a&gt;&lt;br&gt;- noyb complaint (March 2025): ChatGPT falsely described a Norwegian man, Arve Hjalmar Holmen, as having murdered two of his children. noyb filed a GDPR complaint, and OpenAI said it could block the output but not correct the underlying data:&lt;br&gt;&lt;a href=&quot;https:\/\/noyb.eu\/en\/ai-hallucinations-chatgpt-created-fake-child-murderer&quot;&gt;&lt;strong&gt;https:\/\/noyb.eu\/en\/ai-hallucinations-chatgpt-created-fake-child-murderer&lt;\/strong&gt;&lt;\/a&gt;&lt;br&gt;- Munich Regional Court (June 2026): a temporary injunction against Google after its AI Overviews wrongly linked two Munich publishers to scams. The court treated the AI summaries as Google&#039;s own statements:&lt;br&gt;&lt;a href=&quot;https:\/\/thenextweb.com\/news\/google-ai-overviews-german-court-liable&quot;&gt;&lt;strong&gt;https:\/\/thenextweb.com\/news\/google-ai-overviews-german-court-liable&lt;\/strong&gt;&lt;\/a&gt;&lt;br&gt;- The right to have inaccurate personal data corrected (Article 16 GDPR, which is the same under UK GDPR):&lt;br&gt;&lt;a href=&quot;https:\/\/gdpr-info.eu\/art-16-gdpr\/&quot;&gt;&lt;strong&gt;https:\/\/gdpr-info.eu\/art-16-gdpr\/&lt;\/strong&gt;&lt;\/a&gt;&lt;br&gt;Don&#039;t add anything you can&#039;t source.&lt;\/p&gt;&lt;p&gt;&amp;nbsp;&lt;\/p&gt;&lt;p&gt;Voice: mine, practical and calm, first person where natural (&quot;in my work...&quot;). 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