{"id":14045,"date":"2023-02-13T12:48:34","date_gmt":"2023-02-13T10:48:34","guid":{"rendered":"https:\/\/www.synthesis.co.za\/?p=14045"},"modified":"2023-02-13T17:06:07","modified_gmt":"2023-02-13T15:06:07","slug":"the-three-caveats-of-using-ai","status":"publish","type":"post","link":"https:\/\/www.synthesis.co.za\/the-three-caveats-of-using-ai\/","title":{"rendered":"3 warnings never to miss when using AI"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\" id=\"h-1-don-t-trust-it\">1. Don&#8217;t Trust It<\/h2>\n\n\n\n<p>Even though AI has progressed immensely in the last couple of years, we\u2019re not yet at the point where these models are infallible. There is no substitute for good old, human, common sense. &nbsp;<\/p>\n\n\n\n<p>When an AI model produces a result that raises a brow, try asking yourself why it would deem the result as truth. Specifically, generative models such as ChatGPT and its predecessors in the GPT family have the tendency to \u201challucinate\u201d things \u2013 and sound awfully convincing while making up wild things. &nbsp;<\/p>\n\n\n\n<p><a href=\"https:\/\/venturebeat.com\/ai\/got-it-ai-creates-truth-checker-for-chatgpt-hallucinations\/\" target=\"_blank\" rel=\"noreferrer noopener\">AI models<\/a> have even been developed to fact check these models: &nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-2-be-wary-of-experts\">2. Be wary of \u201cExperts\u201d<\/h2>\n\n\n\n<p>The field of AI is an ever-evolving field. By its definition, practitioners of the field attempt to simulate something that we do not yet understand fully \u2013 human intelligence. &nbsp;<\/p>\n\n\n\n<p>Anyone who claims to know everything about this field clearly does not understand the nature of the field. The prevalence of these self-proclaimed experts have been further exacerbated by the availability of pre-built, no-code and auto-ML solution offerings. &nbsp;<\/p>\n\n\n\n<p>While these solutions are incredibly useful and serve to democratise AI, they are meant to be used to prove concepts and not as production-grade implementations. &nbsp;<\/p>\n\n\n\n<p>Some of the drawbacks of these no-code solutions are outlined <a href=\"https:\/\/codeornocode.com\/no-code\/no-code-is-not-a-good-idea\/#:~:text=Security%20Issues%20in%20a%20No%20Code%20Platform&amp;text=Security%20and%20privacy%20are%20the,user%20data%20is%20at%20risk.\" target=\"_blank\" rel=\"noreferrer noopener\">here.<\/a> &nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-3-don-t-be-afraid-to-take-risks\">3. Don\u2019t be afraid to take risks<\/h2>\n\n\n\n<p>As we have mentioned, the field of AI is growing and developing at a famously rapid rate. This means that we don\u2019t yet know what the full set of use-cases look like. &nbsp;<\/p>\n\n\n\n<p>A model capable of understanding natural language can easily be believed to be useful as a chatbot, but what about a personal legal expert? A paraphraser or copyrighter? &nbsp;<\/p>\n\n\n\n<p>The field of AI, and Natural Language Processing (NLP) specifically, has progressed so much, that the great challenge of our time has become to try and put reins on the awesome capability these models provide \u2013 to ultimately derive value from their understanding of symbolism.&nbsp;<\/p>\n\n\n\n<p>Looking to use&nbsp;AI and NLP? We have an army of practitioners with over two-years experience implementing&nbsp;NLP models, like GPT3 in production-grade systems. &nbsp;<\/p>\n\n\n\n<p>Contact us to learn more. &nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>1. Don&#8217;t Trust It Even though AI has progressed immensely in the last couple of years, we\u2019re not yet at the point where these models are infallible. There is no substitute for good old, human, common sense. &nbsp; When an AI model produces a result that raises a brow, try asking yourself why it would [&hellip;]<\/p>\n","protected":false},"author":12,"featured_media":14048,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"episode_type":"","audio_file":"","cover_image":"","cover_image_id":"","duration":"","filesize":"","filesize_raw":"","date_recorded":"","explicit":"","block":"","itunes_episode_number":"","itunes_title":"","itunes_season_number":"","itunes_episode_type":"","footnotes":""},"categories":[36],"tags":[],"ptype":[11],"sectors":[],"class_list":["post-14045","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news-room","ptype-articles"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.0 (Yoast SEO v27.0) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>3 warnings never to miss when using AI - Synthesis<\/title>\n<meta name=\"description\" content=\"Read: &#039;3 warnings never to miss when using AI&#039; and more on the Synthesis blog for insights on the latest in the Tech and Software development industry.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.synthesis.co.za\/the-three-caveats-of-using-ai\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"3 warnings never to miss when using AI\" \/>\n<meta property=\"og:description\" content=\"Read: &#039;3 warnings never to miss when using AI&#039; and more on the Synthesis blog for insights on the latest in the Tech and Software development industry.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.synthesis.co.za\/the-three-caveats-of-using-ai\/\" \/>\n<meta property=\"og:site_name\" content=\"Synthesis\" \/>\n<meta property=\"article:published_time\" content=\"2023-02-13T10:48:34+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-02-13T15:06:07+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.synthesis.co.za\/wp-content\/uploads\/2023\/02\/Synthesis_AI-Warnings_FB-01.png\" \/>\n\t<meta property=\"og:image:width\" content=\"5001\" \/>\n\t<meta property=\"og:image:height\" content=\"2618\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Synthesis Staff\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Synthesis Staff\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/www.synthesis.co.za\/the-three-caveats-of-using-ai\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.synthesis.co.za\/the-three-caveats-of-using-ai\/\"},\"author\":{\"name\":\"Synthesis Staff\",\"@id\":\"https:\/\/www.synthesis.co.za\/#\/schema\/person\/a1cde004c078942c45be61a61cd6ae2c\"},\"headline\":\"3 warnings never to miss when using AI\",\"datePublished\":\"2023-02-13T10:48:34+00:00\",\"dateModified\":\"2023-02-13T15:06:07+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.synthesis.co.za\/the-three-caveats-of-using-ai\/\"},\"wordCount\":366,\"publisher\":{\"@id\":\"https:\/\/www.synthesis.co.za\/#organization\"},\"image\":{\"@id\":\"https:\/\/www.synthesis.co.za\/the-three-caveats-of-using-ai\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.synthesis.co.za\/wp-content\/uploads\/2023\/02\/Synthesis_AI-Warnings_FB-01.png\",\"articleSection\":[\"News Room\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.synthesis.co.za\/the-three-caveats-of-using-ai\/\",\"url\":\"https:\/\/www.synthesis.co.za\/the-three-caveats-of-using-ai\/\",\"name\":\"3 warnings never to miss when using AI - 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