[et_pb_section fb_built=”1″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”][et_pb_row column_structure=”1_2,1_2″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”][et_pb_column type=”1_2″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” header_2_font=”||||||||” header_2_font_size=”20px” hover_enabled=”0″ global_colors_info=”{}” theme_builder_area=”post_content” header_font_size=”31px” sticky_enabled=”0″]<\/p>\n
It\u2019s no secret that generative AI tools have become powerful assistants in modern work. From drafting emails and reports to generating insights and summarising complex documents, the productivity gains are real.<\/span>\u00a0<\/span><\/p>\n But there\u2019s a catch. A big one.\u00a0<\/strong><\/p>\n Generative AI, for all its promise, has a well-documented habit of\u2026 well, making things up.\u00a0<\/span><\/p>\n These are called <\/span>hallucinations<\/span><\/b>\u2014and they\u2019re not bugs in the system; they\u2019re byproducts of how these tools are designed. That means no matter how confident an answer sounds, it might not be grounded in fact.<\/span>\u00a0<\/span><\/p>\n And if you\u2019re using AI to assist with business content, decision-making, research, or client communication, that\u2019s something you can\u2019t afford to ignore.<\/span>\u00a0<\/span><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type="1_2" _builder_version="4.27.4" _module_preset="default" global_colors_info="{}" theme_builder_area="post_content"][et_pb_image src="https:\/\/new.kinetics.co.nz\/wp-content\/uploads\/2025\/08\/Robotcheck.png" title_text="Robotcheck" _builder_version="4.27.4" _module_preset="default" border_radii="on|20px|20px|20px|20px" box_shadow_style="preset1" global_colors_info="{}" theme_builder_area="post_content"][\/et_pb_image][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version="4.27.4" _module_preset="default" global_colors_info="{}" theme_builder_area="post_content"][et_pb_column type="4_4" _builder_version="4.27.4" _module_preset="default" global_colors_info="{}" theme_builder_area="post_content"][et_pb_text _builder_version="4.27.4" _module_preset="default" header_2_font="||||||||" header_2_font_size="16px" global_colors_info="{}" theme_builder_area="post_content"]<\/p>\n Unlike a search engine, generative AI doesn\u2019t look up information. It generates language based on patterns in the data it was trained on. It\u2019s essentially predicting what “should” come next in a sentence\u2014not verifying it.<\/span>\u00a0<\/span><\/p>\n So, if you ask it to reference a white paper or provide a statistic, it might create one that <\/span>sounds<\/span><\/i> legitimate. The formatting will look right. The tone will be on point. But the source? It could be entirely fictional.<\/span>\u00a0<\/span><\/p>\n That\u2019s not deceit. It\u2019s just how the system works. And unless we apply human oversight, hallucinations can easily sneak into outputs unnoticed\u2014especially in fast-paced environments where people are under pressure to move quickly.<\/span>\u00a0<\/span><\/p>\n There\u2019s another layer to this: the more hallucinated content gets used, shared, or published \u2014especially online \u2014 the more likely it is to <\/span>re-enter the training loop<\/span><\/i> of future AI models.<\/span>\u00a0<\/span><\/p>\n If a made-up source is quoted in a blog post, and that post gets indexed and included in future datasets, the hallucination starts to look like fact. AI models can begin to reinforce their own errors, reusing falsehoods simply because they\u2019ve been seen before.<\/span>\u00a0<\/span><\/p>\n This creates a kind of feedback loop where misinformation becomes self-sustaining.<\/span>\u00a0<\/span><\/p>\n It\u2019s one reason why generative AI sometimes doubles down on its own invented claims\u2014even when questioned. Left unchecked, hallucinations can propagate across documents, systems, and decisions. What starts as a seemingly harmless mistake can evolve into a widely accepted falsehood.<\/span>\u00a0<\/span><\/p>\n In professional settings, AI hallucinations can lead to misinformation, reputational damage, or poor decisions. Imagine relying on AI-generated content that references a made-up regulation. Or quoting statistics that don\u2019t exist in a board paper. Or using a case study the AI invented from thin air.<\/span>\u00a0<\/span><\/p>\n That\u2019s why we treat AI as an assistant, a <\/span>co-pilot<\/span><\/i>, not a replacement.<\/span>\u00a0<\/span><\/span>We use AI to support thinking\u2014not to replace it. And that means every AI-assisted output goes through human checks for accuracy, relevance, and risk.\u00a0<\/span>\u00a0<\/span><\/p>\n Here\u2019s how we apply human oversight to generative AI:<\/span>\u00a0<\/span><\/p>\n \u00a0<\/span><\/p>\n What You Can Do<\/span><\/b>\u00a0<\/span><\/p>\n If you\u2019re using AI tools in your role\u2014whether you\u2019re in strategy, sales, communications, operations, or delivery\u2014keep these in mind:<\/span>\u00a0<\/span><\/p>\n Generative AI is an incredible enabler. But it\u2019s not infallible\u2014and it doesn\u2019t understand truth the way we do. That\u2019s why human judgement still matters. When used well, AI enhances our thinking. When used blindly, it risks distorting it\u2014and repeating that distortion again and again. We\u2019re committed to using AI responsibly. That means blending the speed of machines with the critical thinking of people\u2014so we can work smarter <\/span>and<\/span><\/i> more accurately.<\/span>\u00a0<\/span><\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":" It\u2019s no secret that generative AI tools have become powerful assistants in modern work. From drafting emails and reports to generating insights and summarising complex documents, the productivity gains are real.\u00a0 But there\u2019s a catch. A big one.\u00a0 Generative AI needs a human eye to check it. Generative AI, for all its promise, has a […]<\/p>\n","protected":false},"author":5,"featured_media":14870,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[7,4,2],"tags":[],"class_list":["post-14867","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai","category-news","category-tips-tricks-and-hints"],"_links":{"self":[{"href":"https:\/\/new.kinetics.co.nz\/index.php?rest_route=\/wp\/v2\/posts\/14867","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/new.kinetics.co.nz\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/new.kinetics.co.nz\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/new.kinetics.co.nz\/index.php?rest_route=\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/new.kinetics.co.nz\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=14867"}],"version-history":[{"count":0,"href":"https:\/\/new.kinetics.co.nz\/index.php?rest_route=\/wp\/v2\/posts\/14867\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/new.kinetics.co.nz\/index.php?rest_route=\/"}],"wp:attachment":[{"href":"https:\/\/new.kinetics.co.nz\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=14867"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/new.kinetics.co.nz\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=14867"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/new.kinetics.co.nz\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=14867"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Generative AI needs a human eye to check it.<\/span><\/h2>\n
Why AI Hallucinates<\/span><\/b>\u00a0<\/span><\/h2>\n
The Danger of Repetition: When Hallucinations Compound<\/span><\/b>\u00a0<\/span><\/h2>\n
What This Means for Business<\/span><\/b>\u00a0<\/span><\/h2>\n
How We Keep It Grounded<\/span><\/b>\u00a0<\/span><\/h2>\n
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The Bottom Line<\/span><\/b>\u00a0<\/span><\/h2>\n